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CN117691645B - Energy storage system for intelligent micro-grid - Google Patents

Energy storage system for intelligent micro-grid Download PDF

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Publication number
CN117691645B
CN117691645B CN202311682383.0A CN202311682383A CN117691645B CN 117691645 B CN117691645 B CN 117691645B CN 202311682383 A CN202311682383 A CN 202311682383A CN 117691645 B CN117691645 B CN 117691645B
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China
Prior art keywords
energy storage
power station
storage power
detection period
charging
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CN117691645A (en
Inventor
钱军
严学庆
袁朝勇
袁朝明
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Jiangsu Haidesen Energy Co ltd
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Jiangsu Haidesen Energy Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00004Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/00032Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses an energy storage system for an intelligent micro-grid, which relates to the technical field of micro-grids and comprises a power plant historical information acquisition module, a power plant historical information analysis module, an energy storage power station analysis module, a suitable energy storage battery type analysis module, a display terminal and a cloud database.

Description

Energy storage system for intelligent micro-grid
Technical Field
The invention relates to the technical field of micro-grids, in particular to an energy storage system for an intelligent micro-grid.
Background
With the transformation of global energy structures and the rapid development of renewable energy sources, energy storage technologies are increasingly used in the power industry. The energy storage power station is built around the power plant, can store redundant electric energy when the electric power is excessive, and releases the stored energy when the electric power is insufficient, so that the supply and demand relation is effectively balanced, the reliability of an electric power system is improved, and in the operation process of the energy storage power station, if the operation of the energy storage power station is problematic, the energy storage efficiency of the energy storage power station is influenced on one hand, so that certain electric resource waste is caused, the operation safety of the energy storage power station is reduced on the other hand, and safety accidents are easy to occur, so that the operation of the energy storage power station is extremely necessary to be analyzed.
The analysis of the operation of the energy storage power station in the prior art can meet the current requirements to a certain extent, but certain defects exist, and the analysis is specifically implemented in the following layers: (1) Most of the prior art detects and analyzes the operation of the energy storage power station, and then carries out corresponding early warning, the attention degree of the follow-up analysis of the operation problem of the energy storage power station is not high, the type of the energy storage battery in the energy storage power station can relieve the operation problem of the energy storage power station to a certain extent, and then the operation risk of the energy storage power station is reduced, on the one hand, the neglect of the prior art on the aspect leads to the low referential and value of the operation analysis of the energy storage power station, and on the other hand, the follow-up maintenance of the follow-up management staff related to the energy storage power station or the addition of the energy storage battery cannot be provided with reliability guarantee, the energy storage efficiency of the energy storage power station is reduced to a certain extent, and the long-term sustainable development of the power industry is not facilitated.
(1) In the prior art, the analysis strength of the quality assessment of the instantaneous charge and discharge of the energy storage power station is not deep enough, the quality of the instantaneous charge and discharge of the energy storage power station reflects the requirement of the energy storage power station on the instantaneous charge and discharge, and then the type of the energy storage battery corresponding to the instantaneous charge and discharge requirement is reflected, the prior art ignores the aspect, so that the operation analysis of the energy storage power station is not comprehensive enough, the value of the operation analysis of the energy storage power station is reduced, meanwhile, a foundation cannot be laid for the subsequent instantaneous charge and discharge requirement analysis, the instantaneous charge and discharge requirement of the energy storage power station is difficult to guarantee, and the electric balance of the energy storage power station and a power plant is reduced.
Disclosure of Invention
The invention aims to provide an energy storage system for a smart micro-grid, which solves the problems existing in the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides an energy storage system for a smart micro-grid, comprising: the power plant historical information acquisition module is used for acquiring power supply information of the power plant corresponding to the energy storage power station from the power plant corresponding to the energy storage power station, wherein the power supply information comprises power supply quantity of each historical period and current and voltage of each historical detection time point.
And the power plant historical information analysis module is used for analyzing the comprehensive operation quality evaluation index of the power plant corresponding to the energy storage power station.
The energy storage power station analysis module is used for acquiring estimated electric quantity, actual electric quantity, starting time point, ending time point and estimated electric quantity, actual electric quantity, starting time point and ending time point of each discharging of the energy storage power station corresponding to each charging in each detection period from the energy storage power station management center, analyzing an instantaneous charge and discharge quality evaluation index corresponding to the energy storage power station according to the estimated electric quantity, the actual electric quantity, the starting time point and the ending time point, acquiring actual residual electric quantity and fault parameters corresponding to each detection period of the energy storage power station from the energy storage power station management center, wherein the fault parameters comprise each energy storage device corresponding to each fault, analyzing a use stability evaluation index corresponding to the energy storage power station, acquiring maintenance parameters corresponding to each detection period of the energy storage power station from the energy storage power station management center, wherein the maintenance parameters comprise maintenance cost of each maintenance, and analyzing maintenance cost evaluation indexes corresponding to the energy storage power station.
The suitable energy storage battery type analysis module is used for analyzing the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value of the energy storage power station and analyzing the primary suitable energy storage battery type, the secondary suitable energy storage battery type and the tertiary suitable energy storage battery type corresponding to the energy storage power station according to the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value.
And the display terminal is used for displaying the type of the primary suitable energy storage battery, the type of the secondary suitable energy storage battery and the type of the tertiary suitable energy storage battery corresponding to the energy storage power station.
The cloud database is used for storing a safe current interval, storing the electric quantity of instantaneous charging, storing the duration of instantaneous charging, storing the estimated charging duration corresponding to the charging quantity of a unit, storing the price and the service life corresponding to each energy storage device of the energy storage power station, storing the energy storage battery type corresponding to the stable use requirement, storing the energy storage battery type corresponding to the instantaneous charging and discharging requirement, and storing the energy storage battery type corresponding to the maintenance cost requirement.
Further, the analysis energy storage power station corresponds to the comprehensive operation quality evaluation index of the power plant, and the specific analysis method comprises the following steps: and extracting the power supply quantity of each historical period from the power supply information of the power plant corresponding to the energy storage power station, and further analyzing the power supply quantity stability evaluation index epsilon of the power plant corresponding to the energy storage power station.
And extracting the current and the voltage of each history detection time point to which each history period belongs from the power supply information of the power plant corresponding to the energy storage power station, and further analyzing the operation quality evaluation coefficient epsilon' of the power plant corresponding to the energy storage power station.
Analyzing comprehensive operation quality evaluation index of power plant corresponding to energy storage power stationWherein lambda 1、λ2 is respectively represented as a predefined influence weight factor corresponding to stable power supply quantity and operation quality.
Further, the analysis energy storage power station corresponds to the power supply amount stability evaluation index epsilon of the power plant, and the specific analysis method comprises the following steps: based on the power supply quantity Q i of the power plant corresponding to the energy storage power station in each historical period, analyzing the power supply quantity stability evaluation index corresponding to the energy storage power stationWherein i is the number of each history period, i=1, 2,..n, n is any integer greater than 2, and Q (i-1) is the power supply quantity of the energy storage power station corresponding to the power plant in the i-1 th history period.
Further, the operation quality evaluation coefficient epsilon' of the corresponding power plant of the analysis energy storage power station comprises the following specific analysis methods: based on the current of the power station corresponding to each history detection time point of each history period, the number M i of the current safety history detection time points of the power station corresponding to each history period is counted.
Screening the number M max of the most current safety historical detection time points and the number M min of the least current safety historical detection time points of the energy storage power station corresponding to the power plant, counting the number M 'i of the historical detection time points of the energy storage power station corresponding to the power plant in each historical period, and analyzing the current operation quality evaluation coefficient of the energy storage power station corresponding to the power plant according to the number M' i Wherein M (i-1) is the number of current safety history detection time points of the power station corresponding to the i-1 th history period, n is the number of history periods, and M' is the allowable deviation of the predefined current safety history detection time points.
Similarly, the voltage operation quality evaluation coefficient mu' of the energy storage power station corresponding to the power plant is analyzed, and the operation quality evaluation coefficient of the energy storage power station corresponding to the power plant is comprehensively analyzed according to the voltage operation quality evaluation coefficient mu
Further, the instantaneous charge and discharge quality evaluation index corresponding to the energy storage power station comprises the following specific analysis method: and constructing the duration of the energy storage power station corresponding to each charging in each detection period based on the estimated electric quantity, the actual electric quantity, the starting time point and the ending time point of the energy storage power station corresponding to each charging in each detection period.
Comparing the actual electric quantity of the energy storage power station corresponding to each charging in each detection period with the instantaneous electric quantity stored in the cloud database, and if the actual electric quantity of the energy storage power station corresponding to certain charging in a certain detection period is greater than or equal to the instantaneous electric quantity, marking the certain charging as target charging, so as to obtain each target charging of the energy storage power station corresponding to the detection period, and further obtaining each target charging of the energy storage power station corresponding to each detection period.
And acquiring the time length of the energy storage power station corresponding to each target charging in each detection period based on the time length of the energy storage power station corresponding to each charging in each detection period, comparing the time length with the time length of the instantaneous charging stored in the cloud database, and marking the time length of the energy storage power station corresponding to a certain target charging as the instantaneous charging if the time length of the energy storage power station corresponding to the certain target charging in a certain detection period is smaller than or equal to the time length of the instantaneous charging, so as to obtain each instantaneous charging of the energy storage power station corresponding to the detection period, thereby obtaining each instantaneous charging of the energy storage power station corresponding to each detection period.
The method comprises the steps of obtaining estimated electric quantity I mp, actual electric quantity I' mp and time length T mp of the energy storage power station corresponding to each instantaneous charging in each detection period based on the estimated electric quantity, actual electric quantity and time length of the energy storage power station corresponding to each charging in each detection period, wherein m is the number of each detection period, m=1, 2, l, l is any integer larger than 2, p is the number of each instantaneous charging, p=1, 2, q, q is any integer larger than 2.
The estimated charging duration T' corresponding to the unit charging amount is extracted from the cloud database, and the quality evaluation index of the energy storage power station corresponding to each instantaneous charging in each detection period is analyzed according to the estimated charging duration TWherein gamma 1、γ2 is respectively expressed as a predefined duty factor corresponding to a proper charge duration and a proper charge amount.
Based on the estimated electric quantity, actual electric quantity, starting time point and ending time point of the energy storage power station corresponding to each discharge in each detection period, the method is consistent with the method of the energy storage power station corresponding to the time length of each charge in each detection period, and the time length of the energy storage power station corresponding to each discharge in each detection period is constructed.
And the analysis method is consistent with the analysis method of each time of instantaneous charge corresponding to each detection period of the energy storage power station, and each time of instantaneous discharge corresponding to each detection period of the energy storage power station is obtained through analysis.
The analysis method is consistent with the analysis method of the quality evaluation index of the energy storage power station corresponding to each instant charging in each detection period, and the quality evaluation index of the energy storage power station corresponding to each instant discharging in each detection period is obtained through analysisWhere j is the number of each transient discharge, j=1, 2,..k, k is any integer greater than 2.
Comprehensive analysis of instantaneous charge and discharge quality assessment indexes corresponding to energy storage power stationsWhere l is the number of detection cycles, q is the number of instantaneous charges, and k is the number of instantaneous discharges.
Further, the specific analysis method for analyzing the usage stability evaluation index corresponding to the energy storage power station comprises the following steps: summarizing the actual electric quantity of the energy storage power station corresponding to each charging in each detection period, further obtaining the actual total amount of charging of the energy storage power station corresponding to each detection period, analyzing to obtain the actual discharge quantity of the energy storage power station corresponding to each detection period, analyzing to obtain the attenuation electric quantity E m of the energy storage power station corresponding to each detection period according to the initial electric quantity of the energy storage power station in the energy storage power station management center corresponding to each detection period based on the actual residual electric quantity of the energy storage power station corresponding to each detection period, and analyzing the attenuation trend evaluation coefficient corresponding to the energy storage power station according to the actual discharge quantity
Extracting each energy storage device corresponding to each fault from fault parameters corresponding to each detection period of the energy storage power station, extracting corresponding price and service life of each energy storage device of the energy storage power station from a cloud database, and analyzing device fault evaluation coefficients corresponding to the energy storage power station according to the price and service life of each energy storage device
Comprehensive analysis of usage stability assessment index corresponding to energy storage power station
Further, the attenuation trend evaluation coefficient corresponding to the analysis energy storage power stationThe specific analysis method comprises the following steps: based on the attenuation electric quantity corresponding to each detection period of the energy storage power station, analyzing the attenuation trend evaluation coefficient corresponding to the energy storage power stationWherein E (m+1) is the attenuation electric quantity corresponding to the m+1th detection period of the energy storage power station, and E' is the predefined allowable attenuation electric quantity.
Further, the analysis of the equipment fault evaluation coefficients corresponding to the energy storage power stationThe specific analysis method comprises the following steps: according to the corresponding price J h and the service life X h of each energy storage device of the energy storage power station, wherein h is the number of each energy storage device, h=1, 2, & gt, g and g are any integers greater than 2, and the importance evaluation index corresponding to each energy storage device of the energy storage power station is analyzed according to the valuesG is the number of energy storage devices.
Extracting a corresponding importance evaluation index Z mfb of each energy storage device of each fault in each detection period according to the energy storage power station, wherein f is the number of each fault, f=1, 2, the number of each fault is equal to or greater than 2, t is any integer greater than 2, b is the number of each energy storage device to which the fault belongs, b=1, 2, d, d is any integer greater than 2.
Counting the number of energy storage devices corresponding to faults of the energy storage power station in each detection period, counting the total times H m of faults of the energy storage device corresponding to the energy storage power station in each detection period according to the number, and analyzing the equipment fault evaluation coefficient corresponding to the energy storage power station according to the total times H m Wherein t is the number of faults, and d is the number of energy storage devices to which the faults belong.
Further, the maintenance cost evaluation index corresponding to the analysis energy storage power station is specifically analyzed by the following steps: extracting maintenance cost C ma of each maintenance from maintenance parameters corresponding to each detection period of the energy storage power station, wherein a is the number of each maintenance, a=1, 2, and u, u is any integer greater than 2, and further analyzing maintenance cost evaluation indexes corresponding to the energy storage power stationWhere u is the total number of maintenance.
The invention has the beneficial effects that: (1) According to the invention, the power supply information of the energy storage power station corresponding to the power plant is acquired in the power plant historical information acquisition module, so that a data foundation is laid for the analysis of the follow-up energy storage power station.
(2) According to the invention, the power supply stability evaluation index and the operation quality evaluation coefficient of the energy storage power station corresponding to the power plant are analyzed in the power plant historical information analysis module, so that the comprehensive operation quality evaluation index of the energy storage power station corresponding to the power plant is analyzed, and data support is provided for the analysis of the use stability requirements of the follow-up energy storage power station.
(3) According to the invention, the instantaneous charge and discharge quality evaluation index, the use stability evaluation index and the maintenance cost evaluation index of the energy storage power station are analyzed in the energy storage power station analysis module, the analysis dimension is diversified, and the defect that the analysis strength of the instantaneous charge and discharge quality evaluation of the energy storage power station in the prior art is not deep enough is overcome, so that the comprehensiveness of the operation analysis of the energy storage power station is improved, the operation analysis value of the energy storage power station is further improved, the foundation is laid for the subsequent instantaneous charge and discharge demand analysis, the instantaneous charge and discharge demands of the energy storage power station are effectively ensured, and the electric balance of the energy storage power station and the power plant is ensured.
(4) According to the invention, the instantaneous charge and discharge quality evaluation index, the use stability evaluation index and the maintenance cost evaluation index of the energy storage power station are used for analyzing the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value of the energy storage power station in the suitable energy storage battery type analysis module, and the primary suitable energy storage battery type, the secondary suitable energy storage battery type and the tertiary suitable energy storage battery type corresponding to the energy storage power station are analyzed according to the instantaneous charge and discharge quality evaluation index, the use stability evaluation index and the maintenance cost evaluation index, so that the defect that the follow-up analysis of the operation problem of the energy storage power station in the prior art is not high in attention is overcome, the referential and the value of the operation analysis of the energy storage power station are improved, the reliability guarantee is provided for the follow-up maintenance or the addition of the energy storage battery of the relevant manager of the follow-up energy storage power station, the energy storage efficiency of the energy storage power station is improved to a certain extent, and the long-term sustainable development of the power industry is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides an energy storage system for a smart micro-grid, comprising: the system comprises a power plant historical information acquisition module, a power plant historical information analysis module, an energy storage power station analysis module, a suitable energy storage battery type analysis module, a display terminal and a cloud database.
The power plant historical information acquisition module is connected with the power plant historical information analysis module, the power plant historical information analysis module and the energy storage power station analysis module are connected with the suitable energy storage battery type analysis module, the suitable energy storage battery type analysis module is connected with the display terminal, and the cloud database is connected with the power plant historical information analysis module, the energy storage power station analysis module and the suitable energy storage battery type analysis module.
The power plant historical information acquisition module is used for acquiring power supply information of the power plant corresponding to the energy storage power station from the power plant corresponding to the energy storage power station, wherein the power supply information comprises power supply quantity of each historical period and current and voltage of each historical detection time point.
According to the invention, the power supply information of the energy storage power station corresponding to the power plant is acquired in the power plant historical information acquisition module, so that a data foundation is laid for the analysis of the follow-up energy storage power station.
The power plant historical information analysis module is used for analyzing comprehensive operation quality evaluation indexes of the power plant corresponding to the energy storage power station.
In a specific embodiment of the present invention, the analysis method for analyzing the comprehensive operation quality evaluation index of the energy storage power station corresponding to the power plant includes: and extracting the power supply quantity of each historical period from the power supply information of the power plant corresponding to the energy storage power station, and further analyzing the power supply quantity stability evaluation index epsilon of the power plant corresponding to the energy storage power station.
And extracting the current and the voltage of each history detection time point to which each history period belongs from the power supply information of the power plant corresponding to the energy storage power station, and further analyzing the operation quality evaluation coefficient epsilon' of the power plant corresponding to the energy storage power station.
Analyzing comprehensive operation quality evaluation index of power plant corresponding to energy storage power stationWherein lambda 1、λ2 is respectively represented as a predefined influence weight factor corresponding to stable power supply quantity and operation quality.
The range of values of λ 1、λ2 is (0, 1).
In a specific embodiment of the present invention, the analyzing method for analyzing the power supply stability evaluation index epsilon of the power storage station corresponding to the power plant includes: based on the power supply quantity Q i of the power plant corresponding to the energy storage power station in each historical period, analyzing the power supply quantity stability evaluation index corresponding to the energy storage power stationWherein i is the number of each history period, i=1, 2,..n, n is any integer greater than 2, and Q (i-1) is the power supply quantity of the energy storage power station corresponding to the power plant in the i-1 th history period.
In a specific embodiment of the present invention, the analyzing the operation quality evaluation coefficient epsilon' of the energy storage power station corresponding to the power plant specifically includes: based on the current of the power station corresponding to each history detection time point of each history period, the number M i of the current safety history detection time points of the power station corresponding to each history period is counted.
It should be noted that, the statistical energy storage power station corresponds to the number of current safety history detection time points of the power plant in each history period, and the specific method is as follows: comparing the current of the energy storage power station corresponding to the power plant at each history detection time point of each history period with the safe current interval stored in the cloud database, if the current of the energy storage power station corresponding to the power plant at a certain history detection time point of a certain history period is in the safe current interval, marking the history detection time point of the energy storage power station corresponding to the power plant at the history period as a current safety history detection time point, further obtaining each current safety history detection time point of the energy storage power station corresponding to the power plant at each history period, and counting the number of the current safety history detection time points of the energy storage power station corresponding to the power plant at each history period.
Screening the number M max of the most current safety historical detection time points and the number M min of the least current safety historical detection time points of the energy storage power station corresponding to the power plant, counting the number M 'i of the historical detection time points of the energy storage power station corresponding to the power plant in each historical period, and analyzing the current operation quality evaluation coefficient of the energy storage power station corresponding to the power plant according to the number M' i Wherein M (i-1) is the number of current safety history detection time points of the power station corresponding to the i-1 th history period, n is the number of history periods, and M' is the allowable deviation of the predefined current safety history detection time points.
Similarly, the voltage operation quality evaluation coefficient mu' of the energy storage power station corresponding to the power plant is analyzed, and the operation quality evaluation coefficient of the energy storage power station corresponding to the power plant is comprehensively analyzed according to the voltage operation quality evaluation coefficient mu
According to the invention, the power supply stability evaluation index and the operation quality evaluation coefficient of the energy storage power station corresponding to the power plant are analyzed in the power plant historical information analysis module, so that the comprehensive operation quality evaluation index of the energy storage power station corresponding to the power plant is analyzed, and data support is provided for the analysis of the use stability requirements of the follow-up energy storage power station.
The energy storage power station analysis module is used for acquiring estimated electric quantity, actual electric quantity, starting time point and ending time point of each charging of the energy storage power station in each detection period and estimated electric quantity, actual electric quantity, starting time point and ending time point of each discharging of the energy storage power station from the energy storage power station management center, analyzing an instantaneous charge and discharge quality evaluation index corresponding to the energy storage power station according to the estimated electric quantity, the actual electric quantity, the starting time point and the ending time point, acquiring actual residual electric quantity and fault parameters corresponding to each detection period of the energy storage power station from the energy storage power station management center, wherein the fault parameters comprise each energy storage device corresponding to each fault, analyzing a use stability evaluation index corresponding to the energy storage power station, acquiring maintenance parameters corresponding to each detection period of the energy storage power station from the energy storage power station management center, wherein the maintenance parameters comprise maintenance cost of each maintenance, and analyzing maintenance cost evaluation indexes corresponding to the energy storage power station.
In a specific embodiment of the present invention, the instantaneous charge and discharge quality evaluation index corresponding to the energy storage power station is specifically analyzed by the following method: and constructing the duration of the energy storage power station corresponding to each charging in each detection period based on the estimated electric quantity, the actual electric quantity, the starting time point and the ending time point of the energy storage power station corresponding to each charging in each detection period.
The method for constructing the energy storage power station corresponds to the charging duration of each time in each detection period, and comprises the following specific steps: subtracting the starting time point from the ending time point of each charging of the energy storage power station in each detection period, and further obtaining the time length of each charging of the energy storage power station in each detection period.
Comparing the actual electric quantity of the energy storage power station corresponding to each charging in each detection period with the instantaneous electric quantity stored in the cloud database, and if the actual electric quantity of the energy storage power station corresponding to certain charging in a certain detection period is greater than or equal to the instantaneous electric quantity, marking the certain charging as target charging, so as to obtain each target charging of the energy storage power station corresponding to the detection period, and further obtaining each target charging of the energy storage power station corresponding to each detection period.
And acquiring the time length of the energy storage power station corresponding to each target charging in each detection period based on the time length of the energy storage power station corresponding to each charging in each detection period, comparing the time length with the time length of the instantaneous charging stored in the cloud database, and marking the time length of the energy storage power station corresponding to a certain target charging as the instantaneous charging if the time length of the energy storage power station corresponding to the certain target charging in a certain detection period is smaller than or equal to the time length of the instantaneous charging, so as to obtain each instantaneous charging of the energy storage power station corresponding to the detection period, thereby obtaining each instantaneous charging of the energy storage power station corresponding to each detection period.
The method comprises the steps of obtaining estimated electric quantity I mp, actual electric quantity I' mp and time length T mp of the energy storage power station corresponding to each instantaneous charging in each detection period based on the estimated electric quantity, actual electric quantity and time length of the energy storage power station corresponding to each charging in each detection period, wherein m is the number of each detection period, m=1, 2, l, l is any integer larger than 2, p is the number of each instantaneous charging, p=1, 2, q, q is any integer larger than 2.
The estimated charging duration T' corresponding to the unit charging amount is extracted from the cloud database, and the quality evaluation index of the energy storage power station corresponding to each instantaneous charging in each detection period is analyzed according to the estimated charging duration TWherein gamma 1、γ2 is respectively expressed as a predefined duty factor corresponding to a proper charge duration and a proper charge amount.
It should be noted that, the values of γ 1 and γ 2 are both (0, 1).
Based on the estimated electric quantity, actual electric quantity, starting time point and ending time point of the energy storage power station corresponding to each discharge in each detection period, the method is consistent with the method of the energy storage power station corresponding to the time length of each charge in each detection period, and the time length of the energy storage power station corresponding to each discharge in each detection period is constructed.
And the analysis method is consistent with the analysis method of each time of instantaneous charge corresponding to each detection period of the energy storage power station, and each time of instantaneous discharge corresponding to each detection period of the energy storage power station is obtained through analysis.
The analysis method is consistent with the analysis method of the quality evaluation index of the energy storage power station corresponding to each instant charging in each detection period, and the quality evaluation index of the energy storage power station corresponding to each instant discharging in each detection period is obtained through analysisWhere j is the number of each transient discharge, j=1, 2,..k, k is any integer greater than 2.
Comprehensive analysis of instantaneous charge and discharge quality assessment indexes corresponding to energy storage power stationsWhere l is the number of detection cycles, q is the number of instantaneous charges, and k is the number of instantaneous discharges.
In a specific embodiment of the present invention, the method for analyzing the usage stability evaluation index corresponding to the energy storage power station includes: summarizing the actual electric quantity of the energy storage power station corresponding to each charging in each detection period, further obtaining the actual total amount of charging of the energy storage power station corresponding to each detection period, analyzing to obtain the actual discharge quantity of the energy storage power station corresponding to each detection period, analyzing to obtain the attenuation electric quantity E m of the energy storage power station corresponding to each detection period according to the initial electric quantity of the energy storage power station in the energy storage power station management center corresponding to each detection period based on the actual residual electric quantity of the energy storage power station corresponding to each detection period, and analyzing the attenuation trend evaluation coefficient corresponding to the energy storage power station according to the actual discharge quantity
It should be noted that, the attenuation electric quantity E m corresponding to each detection period of the energy storage power station is obtained through analysis, and a specific calculation formula is as follows: e m=[Gm+Fm-F′m]-F″m, wherein F m is the actual total charge amount of the energy storage power station corresponding to the mth detection period, F 'm is the actual discharge amount of the energy storage power station corresponding to the mth detection period, F' m is the actual residual amount of the energy storage power station corresponding to the mth detection period, and G m is the initial electric amount of the energy storage power station corresponding to the mth detection period.
Extracting each energy storage device corresponding to each fault from fault parameters corresponding to each detection period of the energy storage power station, extracting corresponding price and service life of each energy storage device of the energy storage power station from a cloud database, and analyzing device fault evaluation coefficients corresponding to the energy storage power station according to the price and service life of each energy storage device
Comprehensive analysis of usage stability assessment index corresponding to energy storage power station
In a specific embodiment of the present invention, the attenuation trend evaluation coefficients corresponding to the energy storage power station are analyzedThe specific analysis method comprises the following steps: based on the attenuation electric quantity corresponding to each detection period of the energy storage power station, analyzing the attenuation trend evaluation coefficient corresponding to the energy storage power stationWherein E (m+1) is the attenuation electric quantity corresponding to the m+1th detection period of the energy storage power station, and E' is the predefined allowable attenuation electric quantity.
In a specific embodiment of the present invention, the analyzing the equipment failure evaluation coefficients corresponding to the energy storage power stationThe specific analysis method comprises the following steps: according to the corresponding price J h and the service life X h of each energy storage device of the energy storage power station, wherein h is the number of each energy storage device, h=1, 2, & gt, g and g are any integers greater than 2, and the importance evaluation index corresponding to each energy storage device of the energy storage power station is analyzed according to the valuesG is the number of energy storage devices.
Extracting a corresponding importance evaluation index Z mfb of each energy storage device of each fault in each detection period according to the energy storage power station, wherein f is the number of each fault, f=1, 2, the number of each fault is equal to or greater than 2, t is any integer greater than 2, b is the number of each energy storage device to which the fault belongs, b=1, 2, d, d is any integer greater than 2.
Counting the number of energy storage devices corresponding to faults of the energy storage power station in each detection period, counting the total times H m of faults of the energy storage device corresponding to the energy storage power station in each detection period according to the number, and analyzing the equipment fault evaluation coefficient corresponding to the energy storage power station according to the total times H m Wherein t is the number of faults, and d is the number of energy storage devices to which the faults belong.
In a specific embodiment of the present invention, the method for analyzing the maintenance cost evaluation index corresponding to the energy storage power station specifically includes: extracting maintenance cost C ma of each maintenance from maintenance parameters corresponding to each detection period of the energy storage power station, wherein a is the number of each maintenance, a=1, 2, and u, u is any integer greater than 2, and further analyzing maintenance cost evaluation indexes corresponding to the energy storage power stationWhere u is the total number of maintenance.
According to the invention, the instantaneous charge and discharge quality evaluation index, the use stability evaluation index and the maintenance cost evaluation index of the energy storage power station are analyzed in the energy storage power station analysis module, the analysis dimension is diversified, and the defect that the analysis strength of the instantaneous charge and discharge quality evaluation of the energy storage power station in the prior art is not deep enough is overcome, so that the comprehensiveness of the operation analysis of the energy storage power station is improved, the operation analysis value of the energy storage power station is further improved, the foundation is laid for the subsequent instantaneous charge and discharge demand analysis, the instantaneous charge and discharge demands of the energy storage power station are effectively ensured, and the electric balance of the energy storage power station and the power plant is ensured.
The suitable energy storage battery type analysis module is used for analyzing the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value of the energy storage power station and analyzing the primary suitable energy storage battery type, the secondary suitable energy storage battery type and the tertiary suitable energy storage battery type corresponding to the energy storage power station according to the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value.
The method for analyzing the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value of the energy storage power station comprises the following specific analysis methods:
And carrying out mean value processing on the comprehensive operation quality evaluation index of the power plant corresponding to the energy storage power station and the corresponding use stability evaluation index to obtain a comprehensive use stability evaluation index corresponding to the energy storage power station, comparing the comprehensive use stability evaluation index with a predefined comprehensive use stability evaluation index threshold, marking the use stability requirement value corresponding to the energy storage power station as beta if the comprehensive use stability evaluation index corresponding to the energy storage power station is smaller than the comprehensive use stability evaluation index threshold, otherwise marking the use stability requirement value corresponding to the energy storage power station as beta ', and further counting the use stability requirement value delta corresponding to the energy storage power station, wherein delta=beta or beta'.
Comparing the instantaneous charge and discharge quality evaluation index corresponding to the energy storage power station with a predefined instantaneous charge and discharge quality evaluation index threshold, and marking the instantaneous charge and discharge demand value corresponding to the energy storage power station asOtherwise, it is marked asFurther, the instantaneous charge and discharge demand values corresponding to the energy storage power stations are countedWherein the method comprises the steps ofOr (b)
Comparing the maintenance cost evaluation index corresponding to the energy storage power station with a predefined maintenance cost evaluation index threshold, if the maintenance cost evaluation index corresponding to the energy storage power station is larger than the maintenance cost evaluation index threshold, marking the maintenance cost demand value corresponding to the energy storage power station as phi, otherwise marking the maintenance cost demand value as phi ', and further counting the maintenance cost demand value theta corresponding to the energy storage power station, wherein theta=phi or phi'.
The method for analyzing the type of the primary suitable energy storage battery, the type of the secondary suitable energy storage battery and the type of the tertiary suitable energy storage battery corresponding to the energy storage power station is characterized by comprising the following specific analysis methods:
And acquiring a use stability requirement value corresponding to the energy storage power station, if the use stability requirement value corresponding to the energy storage power station is beta, acquiring an energy storage battery type corresponding to the use stability requirement from a cloud database, and taking the energy storage battery type as a first-level suitable energy storage battery type corresponding to the energy storage power station.
Acquiring an instantaneous charge and discharge demand value corresponding to the energy storage power station, if the instantaneous charge and discharge demand value corresponding to the energy storage power station isAnd acquiring the energy storage battery type corresponding to the instantaneous charge and discharge requirement from the cloud database, and taking the energy storage battery type as the secondary suitable energy storage battery type corresponding to the energy storage power station.
And acquiring a maintenance cost requirement value corresponding to the energy storage power station, if the maintenance cost requirement value corresponding to the energy storage power station is phi, acquiring an energy storage battery type corresponding to the maintenance cost requirement from the cloud database, and taking the energy storage battery type as a three-level suitable energy storage battery type corresponding to the energy storage power station.
According to the invention, the instantaneous charge and discharge quality evaluation index, the use stability evaluation index and the maintenance cost evaluation index of the energy storage power station are used for analyzing the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value of the energy storage power station in the suitable energy storage battery type analysis module, and the primary suitable energy storage battery type, the secondary suitable energy storage battery type and the tertiary suitable energy storage battery type corresponding to the energy storage power station are analyzed according to the instantaneous charge and discharge quality evaluation index, the use stability evaluation index and the maintenance cost evaluation index, so that the defect that the follow-up analysis of the operation problem of the energy storage power station in the prior art is not high in attention is overcome, the referential and the value of the operation analysis of the energy storage power station are improved, the reliability guarantee is provided for the follow-up maintenance or the addition of the energy storage battery of the relevant manager of the follow-up energy storage power station, the energy storage efficiency of the energy storage power station is improved to a certain extent, and the long-term sustainable development of the power industry is facilitated.
The display terminal is used for displaying the primary suitable energy storage battery type, the secondary suitable energy storage battery type and the tertiary suitable energy storage battery type corresponding to the energy storage power station.
The cloud database is used for storing a safe current interval, storing the electric quantity of instantaneous charging, storing the duration of instantaneous charging, storing the estimated charging duration corresponding to the unit charging quantity, storing the price and the service life corresponding to each energy storage device of the energy storage power station, storing the energy storage battery type corresponding to the stable use requirement, storing the energy storage battery type corresponding to the instantaneous charging and discharging requirement, and storing the energy storage battery type corresponding to the maintenance cost requirement.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.

Claims (1)

1. An energy storage system for a smart micro-grid, comprising:
the power plant history information acquisition module is used for acquiring power supply information of the power plant corresponding to the energy storage power station from the power plant corresponding to the energy storage power station, wherein the power supply information comprises the power supply quantity of each history period and the current and the voltage of each history detection time point;
The power plant historical information analysis module is used for analyzing comprehensive operation quality assessment indexes of the power plant corresponding to the energy storage power station;
the analysis energy storage power station corresponds to the comprehensive operation quality evaluation index of the power plant, and the specific analysis method comprises the following steps:
Extracting the power supply quantity of each history period from the power supply information of the power plant corresponding to the energy storage power station, and further analyzing the power supply quantity stability evaluation index epsilon of the power plant corresponding to the energy storage power station according to the power supply quantity stability evaluation index epsilon;
the specific analysis method of the stable power supply quantity evaluation index epsilon corresponding to the power plant of the analysis energy storage power station comprises the following steps:
Based on the power supply quantity Q i of the power plant corresponding to the energy storage power station in each historical period, analyzing the power supply quantity stability evaluation index corresponding to the energy storage power station Wherein i is the number of each history period, i=1, 2,..n, n is any integer greater than 2, and Q (i-1) is the power supply amount of the energy storage power station in the i-1 th history period corresponding to the power plant;
Extracting current and voltage of each history detection time point to which each history period belongs from power supply information of a power plant corresponding to the energy storage power station, and further analyzing an operation quality evaluation coefficient epsilon' of the power plant corresponding to the energy storage power station according to the current and voltage;
the operation quality evaluation coefficient epsilon' of the corresponding power plant of the analysis energy storage power station comprises the following specific analysis methods:
Based on the current of the power station corresponding to the power station at each history detection time point of each history period, counting the number M i of current safety history detection time points of the power station corresponding to the power station at each history period;
Screening the number M max of the most current safety historical detection time points and the number M min of the least current safety historical detection time points of the energy storage power station corresponding to the power plant, counting the number M 'i of the historical detection time points of the energy storage power station corresponding to the power plant in each historical period, and analyzing the current operation quality evaluation coefficient of the energy storage power station corresponding to the power plant according to the number M' i Wherein M (i-1) is the number of current safety history detection time points of the power station corresponding to the i-1 th history period, n is the number of history periods, and M' is the allowable deviation of the predefined current safety history detection time points;
Similarly, the voltage operation quality evaluation coefficient mu' of the energy storage power station corresponding to the power plant is analyzed, and the operation quality evaluation coefficient of the energy storage power station corresponding to the power plant is comprehensively analyzed according to the voltage operation quality evaluation coefficient mu
Analyzing comprehensive operation quality evaluation index of power plant corresponding to energy storage power stationWherein lambda 1、λ2 is respectively expressed as a predefined influence weight factor corresponding to stable power supply quantity and operation quality;
The energy storage power station analysis module is used for acquiring estimated electric quantity, actual electric quantity, starting time point, ending time point and estimated electric quantity, actual electric quantity, starting time point and ending time point of each discharge of the energy storage power station corresponding to each detection period from the energy storage power station management center, analyzing an instantaneous charge and discharge quality evaluation index corresponding to the energy storage power station according to the estimated electric quantity, the actual electric quantity, the starting time point and the ending time point, acquiring actual residual electric quantity and fault parameters corresponding to each detection period of the energy storage power station from the energy storage power station management center, wherein the fault parameters comprise each energy storage device corresponding to each fault, analyzing a use stability evaluation index corresponding to the energy storage power station, acquiring maintenance parameters corresponding to each detection period of the energy storage power station from the energy storage power station management center, wherein the maintenance parameters comprise maintenance cost of each maintenance, and analyzing maintenance cost evaluation index corresponding to the energy storage power station;
The instantaneous charge and discharge quality evaluation index corresponding to the energy storage power station comprises the following specific analysis methods:
Constructing the duration of the energy storage power station corresponding to each charging in each detection period based on the estimated electric quantity, the actual electric quantity, the starting time point and the ending time point of the energy storage power station corresponding to each charging in each detection period;
Comparing the actual electric quantity of the energy storage power station corresponding to each charging in each detection period with the instantaneous electric quantity stored in the cloud database, and if the actual electric quantity of the energy storage power station corresponding to a certain charging in a certain detection period is greater than or equal to the instantaneous electric quantity, marking the certain charging as target charging, so as to obtain each target charging of the energy storage power station corresponding to the detection period, thereby obtaining each target charging of the energy storage power station corresponding to each detection period;
Acquiring the time length of each target charging of the energy storage power station in each detection period based on the time length of each target charging of the energy storage power station in each detection period, comparing the time length with the time length of each target charging stored in the cloud database, and marking the time length of each target charging as the time length of each target charging if the time length of each target charging of the energy storage power station in a certain detection period is smaller than or equal to the time length of each target charging, so as to obtain each time of instantaneous charging of the energy storage power station in the detection period, thereby obtaining each time of instantaneous charging of the energy storage power station in each detection period;
Obtaining estimated electric quantity I mp, actual electric quantity I' mp and duration T mp of the energy storage power station corresponding to each instantaneous charging in each detection period based on the estimated electric quantity, actual electric quantity and duration of the energy storage power station corresponding to each charging in each detection period, wherein m is the number of each detection period, m=1, 2, l, l is any integer greater than 2, p is the number of each instantaneous charging, p=1, 2, q, q is any integer greater than 2;
The estimated charging duration T' corresponding to the unit charging amount is extracted from the cloud database, and the quality evaluation index of the energy storage power station corresponding to each instantaneous charging in each detection period is analyzed according to the estimated charging duration T Wherein gamma 1、γ2 is respectively expressed as a predefined duty factor corresponding to proper charging duration and proper charging amount;
based on the estimated electric quantity, actual electric quantity, starting time point and ending time point of the energy storage power station corresponding to each discharge in each detection period, the estimated electric quantity, actual electric quantity, starting time point and ending time point are consistent with the method of the energy storage power station corresponding to each charging duration in each detection period, and the duration of the energy storage power station corresponding to each discharge in each detection period is constructed;
the analysis method is consistent with the analysis method of each time of instantaneous charge corresponding to each detection period of the energy storage power station, and each time of instantaneous discharge corresponding to each detection period of the energy storage power station is obtained through analysis;
the analysis method is consistent with the analysis method of the quality evaluation index of the energy storage power station corresponding to each instant charging in each detection period, and the quality evaluation index of the energy storage power station corresponding to each instant discharging in each detection period is obtained through analysis Where j is the number of each transient discharge, j=1, 2,..k, k is any integer greater than 2;
Comprehensive analysis of instantaneous charge and discharge quality assessment indexes corresponding to energy storage power stations Wherein l is the number of detection periods, q is the number of instantaneous charging and k is the number of instantaneous discharging;
the specific analysis method of the usage stability assessment index corresponding to the analysis energy storage power station comprises the following steps:
Summarizing the actual electric quantity of the energy storage power station corresponding to each charging in each detection period, further obtaining the actual total amount of charging of the energy storage power station corresponding to each detection period, analyzing to obtain the actual discharge quantity of the energy storage power station corresponding to each detection period, analyzing to obtain the attenuation electric quantity E m of the energy storage power station corresponding to each detection period according to the initial electric quantity of the energy storage power station in the energy storage power station management center corresponding to each detection period based on the actual residual electric quantity of the energy storage power station corresponding to each detection period, and analyzing the attenuation trend evaluation coefficient corresponding to the energy storage power station according to the actual discharge quantity
Attenuation trend evaluation coefficients corresponding to the analysis energy storage power stationsThe specific analysis method comprises the following steps:
Based on the attenuation electric quantity corresponding to each detection period of the energy storage power station, analyzing the attenuation trend evaluation coefficient corresponding to the energy storage power station Wherein E (m+1) is the attenuation electric quantity corresponding to the m+1th detection period of the energy storage power station, and E' is the predefined allowable attenuation electric quantity;
extracting each energy storage device corresponding to each fault from fault parameters corresponding to each detection period of the energy storage power station, extracting corresponding price and service life of each energy storage device of the energy storage power station from a cloud database, and analyzing device fault evaluation coefficients corresponding to the energy storage power station according to the price and service life of each energy storage device
The equipment fault evaluation coefficient corresponding to the analysis energy storage power stationThe specific analysis method comprises the following steps:
According to the corresponding price J h and the service life X h of each energy storage device of the energy storage power station, wherein h is the number of each energy storage device, h=1, 2, & gt, g and g are any integers greater than 2, and the importance evaluation index corresponding to each energy storage device of the energy storage power station is analyzed according to the values G is the number of energy storage devices;
Extracting a corresponding importance evaluation index Z mfb of each energy storage device of each fault in each detection period according to each energy storage device of each fault of the energy storage power station, wherein f is the number of each fault, f=1, 2, and the number of each fault is equal to or greater than 2, t is any integer greater than 2, b is the number of each energy storage device to which the fault belongs, b=1, 2, and d, d is any integer greater than 2;
Counting the number of energy storage devices corresponding to faults of the energy storage power station in each detection period, counting the total times H m of faults of the energy storage device corresponding to the energy storage power station in each detection period according to the number, and analyzing the equipment fault evaluation coefficient corresponding to the energy storage power station according to the total times H m Wherein t is the number of faults, and d is the number of energy storage devices to which the faults belong;
Comprehensive analysis of usage stability assessment index corresponding to energy storage power station
The maintenance cost evaluation index corresponding to the analysis energy storage power station comprises the following specific analysis methods:
Extracting maintenance cost C ma of each maintenance from maintenance parameters corresponding to each detection period of the energy storage power station, wherein a is the number of each maintenance, a=1, 2, and u, u is any integer greater than 2, and further analyzing maintenance cost evaluation indexes corresponding to the energy storage power station Wherein u is the total number of maintenance times;
the suitable energy storage battery type analysis module is used for analyzing the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value of the energy storage power station and analyzing the primary suitable energy storage battery type, the secondary suitable energy storage battery type and the tertiary suitable energy storage battery type corresponding to the energy storage power station according to the use stability requirement value, the instantaneous charge and discharge requirement value and the maintenance cost requirement value;
the display terminal is used for displaying the primary suitable energy storage battery type, the secondary suitable energy storage battery type and the tertiary suitable energy storage battery type corresponding to the energy storage power station;
the cloud database is used for storing a safe current interval, storing the electric quantity of instantaneous charging, storing the duration of instantaneous charging, storing the estimated charging duration corresponding to the charging quantity of a unit, storing the price and the service life corresponding to each energy storage device of the energy storage power station, storing the energy storage battery type corresponding to the stable use requirement, storing the energy storage battery type corresponding to the instantaneous charging and discharging requirement, and storing the energy storage battery type corresponding to the maintenance cost requirement.
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