CN115912437A - Electrochemical energy storage power station AGC model and control method thereof - Google Patents
Electrochemical energy storage power station AGC model and control method thereof Download PDFInfo
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Abstract
An electrochemical energy storage power station AGC model and a control method thereof comprise an energy storage AGC logic device modeling method and an AGC logic device level control algorithm. The AGC logic equipment modeling method adopts a model data mapping mode, maps an SCADA equipment model of a monitoring system into an AGC control system according to rules, and generates a corresponding control model and an incidence relation according to AGC equipment parameters. And the AGC logic equipment level control algorithm is based on a logic equipment model, comprehensively considers the running state and real-time running data of all equipment in the station and distributes and regulates the power of the equipment in the energy storage station. The invention solves the problems of redundant control structure, complex mode configuration and variable practical application requirements in various conventional energy storage AGC systems. The method has the advantages that various energy storage architectures and application scenes are flexibly adapted through a flexible and simple energy storage control flow, the complexity of the system is reduced, and the AGC of the energy storage power station is quickly modeled and controlled.
Description
Technical Field
The invention relates to the technical field of operation and dispatching automation of a power system, in particular to an AGC system model of an electrochemical energy storage power station and a control method thereof.
Background
Under the large background of the "double carbon" target, the energy and power industry is facing a great revolution of energy transformation. With this goal, new energy, mainly photovoltaic power generation and wind power generation, is gradually replacing the old fossil energy model. However, the photovoltaic power generation and the wind power generation have the problems of intermittence, instability and the like, and a matched energy storage power station is needed to realize stable and reliable output of energy. Therefore, the energy storage power station is being developed in a large scale as a decisive factor for comprehensively improving the reliability and stability of the new energy power system.
The AGC system of the current energy storage power station can be divided into the following parts according to the construction conditions of different energy storage power stations: large-scale energy storage power stations, industrial and commercial energy storage power stations, household energy storage and the like. The monitoring systems equipped in the energy storage power stations with different scales have great difference, and the control modes are also different. However, each of the different energy storage power stations is provided with an Automatic Generation Control (AGC) system of the energy storage system.
The AGC of the energy storage power station is the most important application function module of the energy storage station, and comprehensively controls the charge and discharge functions of the battery in the energy storage power station from a plant station layer to a device layer by monitoring and calculating the running state and running data of the power conversion device and the battery in the station in real time. The energy storage power station AGC comprehensively judges the state of equipment by receiving the instruction value of scheduling or planning, completes the power tracking control of the energy storage power station according to the target instruction, completes the power grid scheduling and rapid adjustment functions of the energy storage power station, and simultaneously provides all-round safe and reliable guarantee for the battery and the power conversion equipment in the energy storage power station. However, in the existing various energy storage AGC systems, the control structure is redundant, the mode configuration is complex, the actual application requirements are variable, the systems cannot be adapted to various energy storage architectures and application scenarios, and the systems are complex.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides an electrochemical energy storage power station AGC system model and a control method thereof. The AGC logic equipment modeling method adopts a model data mapping mode, maps an SCADA equipment model of a monitoring system into an AGC control system according to rules, and generates a corresponding control model and an incidence relation according to AGC equipment parameters. And the AGC logic equipment level control algorithm is based on a logic equipment model, comprehensively considers the running state and real-time running data of all equipment in the station and distributes and regulates the power of the equipment in the energy storage station.
The invention adopts the following technical scheme.
The invention provides an electrochemical energy storage power station AGC model on one hand, which comprises the following components: a plurality of AGC logic device models; the AGC logic device model comprises: the method comprises the following steps of coordinating a controller model, an energy storage converter model, a battery pack model, a battery cluster model, a battery cell model, an energy storage power station model and a control grid-connected point model; generating a coordination controller model, an energy storage converter model, a battery pack model, a battery cluster model and a battery cell model by each device in the energy storage power station according to a device mapping rule; carrying out total-station equivalence on the energy storage power station to obtain an energy storage power station model; controlling the grid-connected point model to be a virtual model;
based on the incidence relation of the AGC logic device model, determining that the AGC model sequentially comprises the following steps from the bottom layer to the top layer: the system comprises a battery cell model, a battery cluster model, a battery pack model, an energy storage converter model, a coordination controller model, a control grid-connected point model and an energy storage power station model;
from the bottom layer, the running state and the running data of the AGC logic equipment model of the layer are sent to the upper layer, and the running state and the running data obtained after hierarchical summarization are sequentially executed from bottom to top are sent to an energy storage power station model or a control grid-connected point model; calculating a power control instruction of an AGC logic equipment model of the next layer by combining a power control instruction according to the operation state and operation data after the summary of the current level from an energy storage power station model or a control grid-connected point model, and calculating the power control instruction of a controllable AGC logic equipment model of the bottommost layer by iteration for multiple times from top to bottom; the method comprises the following steps that a control grid-connected point model calculates to obtain a power control instruction of a directly subordinate energy storage converter model or a power control instruction of a coordinated controller model or a power control instruction of a subordinate energy storage converter model of the coordinated controller model;
the coordinated controller model sends a power control instruction of an energy storage converter model which is subordinate to the coordinated controller model and obtained by controlling the calculation of the grid-connected point model to the energy storage converter model or energy storage converter equipment; or the coordinated controller model calculates the control grid-connected point model to obtain a power control instruction of the coordinated controller model, sends the power control instruction to the coordinated controller equipment, and sends the power control instruction to the energy storage converter equipment after the coordinated controller equipment completes calculation of the power control instruction of the subordinate energy storage converter equipment.
Obtaining the operation parameters and the incidence relation of an AGC logic equipment model through the parameters of each equipment in the energy storage power station; the association relationship of the AGC logic device model comprises: the method comprises the following steps of controlling the incidence relation between a grid-connected point model and an energy storage power station model, coordinating the incidence relation between a controller model and a grid-connected point model, coordinating the incidence relation between an energy storage converter model and a controller model, the incidence relation between an energy storage converter model and a grid-connected point model, the incidence relation between a battery pack model and an energy storage converter model, the incidence relation between a battery cluster model and a battery pack model, and the incidence relation between a battery core model and a battery cluster model;
the incidence relation between the control grid-connected point model and the energy storage power station model comprises the incidence relation between one energy storage power station model and a plurality of control grid-connected point models;
the incidence relation between the coordinated controller model and the control grid-connected point model comprises the incidence relation between one control grid-connected point model and a plurality of coordinated controller models;
the incidence relation between the energy storage converter model and the control grid-connected point model comprises the incidence relation between the control grid-connected point model and a plurality of energy storage converter models;
the incidence relation between the energy storage converter model and the coordination controller model comprises the incidence relation between one coordination controller model and a plurality of energy storage converter models;
the incidence relation between the battery pack model and the energy storage converter model comprises the incidence relation between one energy storage converter model and a plurality of battery pack models;
the incidence relation between the battery cluster model and the battery pack model comprises the incidence relation between one battery pack model and a plurality of battery cluster models;
the association relationship between the cell model and the battery cluster model includes an association relationship between one battery cluster model and a plurality of cell models.
And the energy storage power station model is used for summarizing the running data and running state of the whole station, and calculating to obtain a power control instruction for controlling the grid-connected point model by taking the power control instruction of the energy storage power station model as a target value.
And controlling the grid-connected point model to summarize the running states and running data of all the subordinate AGC logic equipment models and calculate power control instructions.
And the control grid-connected point model is used for summarizing the running data and running state of the coordinated controller model or the energy storage converter model, and calculating to obtain a power control instruction of the directly subordinate energy storage converter model or a power instruction of the coordinated controller model or a power control instruction of the subordinate energy storage converter model by taking a power control instruction issued by the energy storage power station model as a target value.
And the control grid-connected point model is used for summarizing the running data and running state of the coordinated controller model or the energy storage converter model, directly receiving a power control instruction of a scheduling or other instruction source as a target value, and calculating to obtain a power control instruction of a directly subordinate energy storage converter model or a power instruction of the coordinated controller model or a power control instruction of a subordinate energy storage converter model of the coordinated controller model.
The operation modes of the coordination controller model comprise: an instruction forwarding mode, an AGC mode and a primary frequency modulation mode; wherein,
in the instruction forwarding mode, the coordination controller model forwards a power control instruction of an energy storage converter model which is subordinate to the coordination controller model and is obtained by controlling the calculation of the grid-connected point model to the energy storage converter model to finish instruction issuing;
when in the AGC mode, the coordination controller model directly issues the received power control instruction from the control grid connection point model to corresponding coordination controller equipment, and the coordination controller equipment completes the calculation of the power control instruction of subordinate energy storage converter equipment and then issues the power control instruction to the energy storage converter equipment to complete the power control of the energy storage converter equipment;
and in the primary frequency modulation mode, the coordinated controller model directly sends a power control instruction of an energy storage converter model which belongs to the coordinated controller model and is obtained by controlling the calculation of the grid-connected point model to corresponding coordinated controller equipment through a front node, and the coordinated controller equipment superposes and calculates the primary frequency modulation instruction and sends the power instruction to the energy storage converter equipment to complete the power control of the energy storage converter equipment.
And the energy storage converter model is used for summarizing and calculating the operation data and the operation state of the current energy storage converter model, calculating the data and the state of the battery management system corresponding to the battery pack model associated with the energy storage converter model, calculating the maximum chargeable and dischargeable power of the battery pack model, and performing calculation decision on an upper layer model corresponding to the battery pack model.
The battery pack model, the battery cluster model and the battery cell model are used for respectively receiving the running data and the running state of the corresponding battery pack equipment, the corresponding battery cluster equipment and the corresponding battery cell equipment, so that the upper layer model can perform level summarization and power control instruction calculation, and does not participate in power control of the energy storage converter equipment.
The invention also provides a control method of the electrochemical energy storage power station AGC model, which comprises the following steps:
The invention has the beneficial effects that compared with the prior art, the invention provides an electrochemical energy storage power station AGC model and a control method thereof based on different application scenes and different system architecture modes of the current energy storage power station AGC, so as to solve the problems of redundant control structures, complex mode configuration and variable actual application requirements in various energy storage AGC systems. The method has the advantages that various energy storage architectures and application scenes are flexibly adapted through a flexible and simple energy storage control flow, the complexity of the system is reduced, and the AGC of the energy storage power station is quickly modeled and controlled.
Drawings
FIG. 1 is a schematic diagram of the relationship between an electrochemical energy storage power station and an AGC model according to the present invention;
FIG. 2 is a schematic diagram of the summary of the operation status and operation data hierarchy, and the calculation and issuing of power control commands in an electrochemical energy storage power station AGC model according to the present invention;
the reference numerals in fig. 1 and 2 are illustrated as follows:
1-an energy storage power station model, 2-a control grid-connected point model, 3-a coordination controller model, 4-an energy storage converter model, 5-a battery pack model, 6-a battery cluster model and 7-a battery cell model;
FIG. 3 is a schematic diagram of an electrochemical energy storage power station AGC model in embodiment 2 of the present invention;
the reference numerals in fig. 3 are explained as follows:
10-a first control grid-connected point model, 20-a second control grid-connected point model, 11-a first coordination controller model, 21-a second coordination controller model, 100-a first energy storage subsystem, 200-a second energy storage subsystem, 300-a third energy storage subsystem, 101-a first energy storage converter model, 102-a second energy storage converter model, 201-a third energy storage converter model, 202-a fourth energy storage converter model, 301-a fifth energy storage converter model, 302-a sixth energy storage converter model, 303-a seventh energy storage converter model, 111-a first battery management system, 112-a second battery management system, 211-a third battery management system, 212-a fourth battery management system, 311-a fifth battery management system, 312-a sixth battery management system, 313-a seventh battery management system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described herein are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art without inventive step, are within the scope of protection of the present invention.
Example 1.
The invention provides an electrochemical energy storage power station AGC model on one hand, which comprises the following components: a plurality of AGC logic device models; the AGC logic device model includes: the system comprises a coordination controller model, an energy storage converter model, a battery pack model, a battery cluster model, a battery core model, an energy storage power station model and a control grid-connected point model.
The method comprises the steps of generating a coordination controller model, an energy storage converter model, a battery pack model, a battery cluster model and a battery cell model for each device in an energy storage power station according to a device mapping rule. In embodiment 1, the AGC logic device modeling method uses a device mapping rule, maps an SCADA device model in a monitoring system into an AGC control system according to the rule, and generates a corresponding control model and an association relationship according to AGC device parameters. The coordination controller model, the energy storage converter model, the battery pack model, the battery cluster model and the battery cell model correspond to actual equipment in the energy storage power station.
Carrying out total station equivalence on the energy storage power station to obtain an energy storage power station model; the control grid-connected point model is a virtual model and plays the roles of equipment fragmentation, classification, calculation and centralized management in each model control flow.
Based on the incidence relation of the AGC logic device model, determining that the AGC model sequentially comprises the following steps from the bottom layer to the top layer: the system comprises a battery cell model, a battery cluster model, a battery pack model, an energy storage converter model, a coordination controller model, a control grid-connected point model and an energy storage power station model.
Obtaining the operation parameters and the association relation of an AGC logic device model through the parameters of each device in the energy storage power station; as shown in fig. 1, the relationship of the AGC logic device model includes: the method comprises the following steps of controlling the incidence relation between a grid-connected point model and an energy storage power station model, coordinating the incidence relation between a controller model and a grid-connected point model, coordinating the incidence relation between an energy storage converter model and a controller model, the incidence relation between an energy storage converter model and a grid-connected point model, the incidence relation between a battery pack model and an energy storage converter model, the incidence relation between a battery cluster model and a battery pack model, and the incidence relation between a battery core model and a battery cluster model;
the incidence relation between the control grid-connected point model and the energy storage power station model comprises the incidence relation between one energy storage power station model and a plurality of control grid-connected point models;
the incidence relation between the coordinated controller model and the control grid-connected point model comprises the incidence relation between the control grid-connected point model and a plurality of coordinated controller models;
the incidence relation between the energy storage converter model and the control grid-connected point model comprises the incidence relation between the control grid-connected point model and a plurality of energy storage converter models;
the incidence relation between the energy storage converter model and the coordination controller model comprises the incidence relation between one coordination controller model and a plurality of energy storage converter models;
the incidence relation between the battery pack model and the energy storage converter model comprises the incidence relation between one energy storage converter model and a plurality of battery pack models;
the incidence relation between the battery cluster model and the battery pack model comprises the incidence relation between one battery pack model and a plurality of battery cluster models;
the association relationship between the cell model and the battery cluster model includes an association relationship between one battery cluster model and a plurality of cell models.
In an actual energy storage power station model, the coordination controller device may not exist, and therefore, in order to ensure that the energy storage power station AGC is flexibly and conveniently applied, the energy storage converter device can be associated with the coordination controller device and can also be directly associated with a control grid-connected point.
As shown in fig. 2, starting from the bottom layer, the operation state and the operation data of the AGC logic device model of the current layer are sent to the upper layer, and the operation state and the operation data obtained after hierarchical summarization are sequentially executed from bottom to top are sent to the energy storage power station model or the control grid-connected point model; calculating a power control instruction of an AGC logic equipment model of the next layer by combining a power control instruction according to the operation state and operation data after the summary of the current level from an energy storage power station model or a control grid-connected point model, and calculating the power control instruction of the AGC logic equipment model of the bottommost layer by iteration for multiple times from top to bottom; the method comprises the following steps that a control grid-connected point model calculates to obtain a power control instruction of a directly subordinate energy storage converter model or a power control instruction of a coordinated controller model or a power control instruction of a subordinate energy storage converter model of the coordinated controller model;
the coordinated controller model sends a power control instruction of an energy storage converter model which belongs to the coordinated controller model and is obtained by controlling the calculation of the grid-connected point model to the energy storage converter model or energy storage converter equipment; or the coordination controller model calculates the control grid-connected point model to obtain a power control instruction of the coordination controller model, sends the power control instruction to the coordination controller equipment, and the coordination controller equipment completes calculation of the power control instruction of subordinate energy storage converter equipment and then sends the power control instruction to the energy storage converter equipment.
And the energy storage power station model is used for summarizing the running data and running state of the whole station, and calculating to obtain a power control instruction for controlling the grid-connected point model by taking the power control instruction of the energy storage power station model as a target value.
And controlling the grid-connected point model to summarize the running state and running data of all AGC logic equipment models and calculate power control instructions.
And the control grid connection point model is used for summarizing the operation data and the operation state of the coordinated controller model or the energy storage converter model, and calculating to obtain a power control instruction of the energy storage converter model directly subordinate to the model or a power control instruction of the coordinated controller model or a power control instruction of the energy storage converter model subordinate to the coordinated controller model by taking a power control instruction issued by the energy storage power station model as a target value.
And the control grid-connected point model is used for summarizing the operation data and the operation state of the coordination controller model or the energy storage converter model, directly receiving a power control instruction of a scheduling or other instruction source as a target value, and calculating to obtain the power control instruction of the coordination controller model or the energy storage converter model subordinate to the coordination controller model.
The execution modes of the coordination controller model include: an instruction forwarding mode, an AGC mode and a primary frequency modulation mode; wherein,
in the instruction forwarding mode, the coordination controller model forwards a power control instruction of an energy storage converter model which is subordinate to the coordination controller model and is obtained by controlling the calculation of the grid-connected point model to the energy storage converter model to finish instruction issuing;
when in the AGC mode, the coordination controller model directly issues a received power control instruction from the control grid-connected point model to corresponding coordination controller equipment, and the coordination controller equipment completes the calculation of the power control instruction of subordinate energy storage converter equipment and then issues the power control instruction to the energy storage converter equipment to complete the power control of the energy storage converter equipment;
and in the primary frequency modulation mode, the coordination controller model directly sends a power control instruction of an energy storage converter model which is subordinate to the coordination controller model and obtained by controlling the calculation of the grid-connected point model to corresponding coordination controller equipment through a front node, and the coordination controller equipment superposes and calculates the primary frequency modulation instruction and sends the power instruction to the energy storage converter equipment to complete the power control of the energy storage converter equipment.
And the energy storage converter model is used for summarizing and calculating the operation data and the operation state of the current energy storage converter model, calculating the data and the state of the battery management system corresponding to the battery pack model associated with the energy storage converter model, calculating the maximum chargeable and dischargeable power of the battery pack model, and making a calculation decision for the upper layer model corresponding to the battery pack model.
The battery pack model, the battery cluster model and the battery cell model are used for respectively receiving the running data and the running state of the corresponding battery pack equipment, the corresponding battery cluster equipment and the corresponding battery cell equipment, so that the upper layer model can perform level summarization and power control instruction calculation, and does not participate in active power control of the energy storage converter equipment.
Example 2.
With the SCADA device of the energy storage power station as the basis of the AGC logic device model, firstly, the SCADA device is modeled to obtain the electrochemical energy storage power station AGC model shown in fig. 3, which includes: the energy storage system comprises a first control grid-connected point model 10, a second control grid-connected point model 20, a first coordination controller model 11, a second coordination controller model 21, a first energy storage converter model 101, a second energy storage converter model 102, a third energy storage converter model 201, a fourth energy storage converter model 202, a fifth energy storage converter model 301, a sixth energy storage converter model 302, a seventh energy storage converter model 303, a first battery management system 111, a second battery management system 112, a third battery management system 211, a fourth battery management system 212, a fifth battery management system 311, a sixth battery management system 312 and a seventh battery management system 313.
The energy storage AGC relies on an energy storage SCADA device model, and the device is mapped into the AGC model by the SCADA device model according to the control requirement of the energy storage AGC. And the AGC logic equipment model generates a hierarchical control relation through the incidence relation, and the source of the relation attribute is the SCADA model attribute.
The association relationship of mapping the SCADA model to the AGC logic device model in embodiment 2 includes:
1. the energy storage power station belongs to two control grid-connected points, namely a first control grid-connected point model 10 and a second control grid-connected point model 20;
2. two pieces of coordination controller equipment are associated under a first control grid-connected point, namely a first coordination controller equipment model 11 and a second coordination controller equipment model 21;
3. two energy storage converter devices are associated under the first coordination controller device model 11, namely a first energy storage converter model 101 and a second energy storage converter model 102; two energy storage converter devices are connected below the second coordination controller device model 21, namely a third energy storage converter model 201 and a fourth energy storage converter model 202; a fifth energy storage converter model 301, a sixth energy storage converter model 302 and a seventh energy storage converter model 303 are associated with the second control grid-connected point model 20;
4. each energy storage converter model is respectively associated with a corresponding pool management system;
two PCS are connected below the coordination controller 2, namely PCS2-1 and PCS2-2;
PCS2-1 and PCS2-2 are respectively associated with corresponding BMS2-1 and BMS2-2;
three PCS are connected under the control grid-connected point 2, namely PCS3-1, PCS3-2 and PCS3-3;
PCS3-1, PCS3-2 and PCS3-3 are respectively associated with corresponding BMS3-1, BMS3-2 and BMS3-3.
After the energy storage AGC control equipment model is generated, a hierarchical control structure with the topmost layer as an energy storage power station and the bottom layers sequentially as a control grid-connected point, a coordination controller, a PCS and a BMS is formed.
According to fig. 3, the AGC level control relationship of the energy storage power station is that the energy storage power station receives an active control instruction of the whole station, and collects the operation data and the operation state of the first control grid-connected point model 10 and the second control grid-connected point model 20 from bottom to top. And combining the active power instruction with the running condition of the subordinate control grid-connected point, calculating the active power instruction value according to a set distribution calculation strategy to obtain the active power values of the first control grid-connected point model 10 and the second control grid-connected point model 20, and sending the active power values to the corresponding control grid-connected point models.
After receiving the active power instruction, the first control grid-connected point model performs distribution calculation on the active power instruction according to the same established active power distribution calculation strategy according to the current running states of the first coordination controller and the second coordination controller, and after the distribution calculation is completed, the first control grid-connected point model issues the instruction to the coordination controllers.
After receiving the active instruction, the first coordination controller model performs distribution calculation on the active power of each branch according to the running data and the state of the branch formed by the subordinate energy storage converter model and the battery management system model, and the active control instruction values of the first energy storage converter model and the second energy storage converter model are obtained respectively. And finally, transmitting the active power control value of each PCS to the corresponding PCS equipment through the preposition.
After receiving the active instruction, the second coordination controller model performs distribution calculation on the active power of each branch according to the running data and the state of the branch formed by the subordinate energy storage converter model and the battery management system model, and active control instruction values of a third energy storage converter model and a fourth energy storage converter model are obtained respectively. And finally, transmitting the active power control value of each PCS to the corresponding PCS equipment through the preposition.
After the second control grid-connected point model receives the active power instruction, the active power of each branch is distributed and calculated according to the running data and the state of the branch formed by the current subordinate energy storage converter model and the battery management system model, and active control instruction values of the fourth to seventh energy storage converter models are obtained respectively. And finally, transmitting the active power control value of each PCS to the corresponding PCS equipment through the preposition.
Taking the AGC model data of the energy storage power station as an example, when the energy storage power station layer receives a 2.4MW discharge active instruction, the active power instruction of subordinate equipment of the energy storage power station is calculated according to the equipment state and the operation data of each level. The active power commands in different scenes are detailed in tables 1 to 3.
Table 1 scenario one: normal operation of equipment in station
| AGC device | Operating state | SOC value/% | Active command value/MW |
| Energy storage power station | Is normal and normal | 50％ | 2.400 |
| Controlling a point of |
Is normal | 50％ | 1.372 |
| Control of |
Is normal | 50％ | 1.028 |
| |
Is normal and normal | 50％ | 0.686 |
| |
Is normal and normal | 50％ | 0.686 |
| PCS1-1 | Is normal | 50％ | 0.343 |
| PCS1-2 | Is normal | 50％ | 0.343 |
| PCS2-1 | Is normal and normal | 50％ | 0.343 |
| PCS2-2 | Is normal | 50％ | 0.343 |
| PCS3-1 | Is normal | 50％ | 0.343 |
| PCS3-2 | Is normal and normal | 50％ | 0.343 |
| PCS3-3 | Is normal | 50％ | 0.343 |
| BMS1-1 | Is normal | 50％ | Is free of |
| BMS1-2 | Is normal and normal | 50％ | Is free of |
| BMS2-1 | Is normal | 50％ | Is free of |
| BMS2-2 | Is normal | 50％ | Is free of |
| BMS3-1 | Is normal | 50％ | Is free of |
| BMS3-2 | Is normal | 50％ | Is free of |
| BMS3-3 | Is normal | 50％ | Is free of |
Table 2 scenario two: PCS device abnormality
Table 3 scenario three: BMS power limitation
The invention also provides a control method of the electrochemical energy storage power station AGC model, which comprises the following steps:
Compared with the prior art, the invention has the beneficial effects that the charging and discharging functions of the battery in the energy storage power station are comprehensively controlled from a plant layer to an equipment layer by monitoring and calculating the running states and running data of the power conversion equipment and the battery in the station in real time. The energy storage power station AGC comprehensively judges the state of equipment by receiving the instruction value of scheduling or planning, completes the power tracking control of the energy storage power station according to the target instruction, completes the power grid scheduling and rapid adjustment functions of the energy storage power station, and simultaneously provides all-round safe and reliable guarantee for the battery and the power conversion equipment in the energy storage power station.
The invention has the beneficial effects that compared with the prior art, the invention provides an electrochemical energy storage power station AGC model and a control method thereof, and the core lies in providing an energy storage power station AGC logic device modeling method and an AGC logic device level control algorithm. The AGC logic equipment modeling method provides a method for mapping and generating an energy storage AGC control model by an SCADA model, the AGC control model is formed through the incidence relation, the quick generation and flexible hierarchical relation of the energy storage AGC model is realized, and the AGC control model is supported to flexibly configure an AGC hierarchical control flow according to the actual energy storage field configuration condition. The AGC logic device level control algorithm provides a bottom-up data calculation and summarization method for an energy storage power station device model, and a top-down level control flow and control logic are realized on the basis of the calculation result of level data of each level. In an AGC logic device level control algorithm, flexible and quick control of each level of an energy storage power station can be realized through configuration. Independent control of each control point of connection in the energy storage power station can be realized through control flow configuration, various application scenes and application requirements of the coordination controller can be met through function configuration of the coordination controller layer equipment model, and a multi-mode matching adjusting function of the energy storage power station AGC and the coordination controller is realized.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. An electrochemical energy storage power station AGC model is characterized in that,
the AGC model of the electrochemical energy storage power station comprises: a plurality of AGC logic device models; the AGC logic device model comprises: the method comprises the following steps of coordinating a controller model, an energy storage converter model, a battery pack model, a battery cluster model, a battery cell model, an energy storage power station model and a control grid-connected point model; generating a coordination controller model, an energy storage converter model, a battery pack model, a battery cluster model and a battery cell model by each device in the energy storage power station according to a device mapping rule; carrying out total station equivalence on the energy storage power station to obtain an energy storage power station model; controlling the grid-connected point model to be a virtual model;
based on the incidence relation of the AGC logic device model, determining that the AGC model sequentially comprises the following steps from the bottom layer to the top layer: the system comprises a battery cell model, a battery cluster model, a battery pack model, an energy storage converter model, a coordination controller model, a control grid-connected point model and an energy storage power station model;
from the bottom layer, the running state and the running data of the AGC logic equipment model of the layer are sent to the upper layer, and the running state and the running data obtained after hierarchical summarization are sequentially executed from bottom to top are sent to an energy storage power station model or a control grid-connected point model; calculating a power control instruction of an AGC logic equipment model of the next layer by combining a power control instruction according to the operation state and operation data after the summary of the current level from an energy storage power station model or a control grid-connected point model, and calculating the power control instruction of the AGC logic equipment model of the bottommost layer by iteration for multiple times from top to bottom; the control grid-connected point model calculates according to the actual architecture and the function configuration of the energy storage power station to obtain a power control instruction of the coordinated controller model or a power control instruction of an energy storage converter model under the coordinated controller model or a power control instruction of an energy storage converter model directly under the control grid-connected point;
the coordination controller model sends a power control instruction of an energy storage converter model directly subordinate to the control grid-connected point model or subordinate to the coordination controller model, which is obtained by calculation of the control grid-connected point model, to the energy storage converter model, and finally a front communication node of the energy storage monitoring system issues the power instruction value of the energy storage converter model to the energy storage converter equipment; or the coordination controller model calculates the control grid-connected point model to obtain a power control instruction of the coordination controller model, sends the power control instruction to the coordination controller equipment, and the coordination controller equipment completes calculation of the power control instruction of subordinate energy storage converter equipment and then sends the power control instruction to the energy storage converter equipment.
2. The electrochemical energy storage power station AGC model of claim 1,
obtaining the operation parameters and the incidence relation of an AGC logic equipment model through the parameters of each equipment in the energy storage power station; the association relationship of the AGC logic equipment model comprises the following steps: the method comprises the following steps of controlling the incidence relation between a grid-connected point model and an energy storage power station model, coordinating the incidence relation between a controller model and a grid-connected point model, coordinating the incidence relation between an energy storage converter model and a controller model, the incidence relation between an energy storage converter model and a grid-connected point model, the incidence relation between a battery pack model and an energy storage converter model, the incidence relation between a battery cluster model and a battery pack model, and the incidence relation between a battery core model and a battery cluster model;
the incidence relation between the control grid-connected point model and the energy storage power station model comprises the incidence relation between one energy storage power station model and one or more control grid-connected point models;
the incidence relation between the coordinated controller model and the control grid-connected point model comprises the incidence relation between the control grid-connected point model and one or more coordinated controller models;
the incidence relation between the energy storage converter model and the control grid-connected point model comprises the incidence relation between the control grid-connected point model and one or more energy storage converter models;
the incidence relation between the energy storage converter model and the coordination controller model comprises the incidence relation between one coordination controller model and one or more energy storage converter models;
the incidence relation between the battery pack model and the energy storage converter model comprises the incidence relation between one energy storage converter model and one or more battery pack models;
the incidence relation between the battery cluster model and the battery pack model comprises the incidence relation between one battery pack model and one or more battery cluster models;
the association between a cell model and a battery cluster model includes an association between a battery cluster model and one or more cell models.
3. The electrochemical energy storage power station AGC model of claim 2,
and the energy storage power station model is used for summarizing the running data and running state of the whole station, and calculating to obtain a power control instruction for controlling the grid-connected point model by taking the power control instruction of the energy storage power station model as a target value.
4. The electrochemical energy storage power station AGC model of claim 1,
and controlling the grid-connected point model to summarize the running states and running data of all the subordinate AGC logic equipment models and calculate power control instructions.
5. The electrochemical energy storage power station AGC model of claim 4,
and the control grid-connected point model is used for summarizing the running data and running state of the subordinate coordination controller model or the energy storage converter model, and calculating to obtain a power control instruction of the directly subordinate energy storage converter model or a power control instruction of the coordination controller model or a power control instruction of the subordinate energy storage converter model by taking a power control instruction issued by the energy storage power station model as a target value.
6. The electrochemical energy storage power station AGC model of claim 4,
and the control grid-connected point model is used for summarizing the running data and running state of the coordinated controller model or the energy storage converter model, directly receiving a power control instruction of a scheduling or other instruction source as a target value, and calculating to obtain a power control instruction of a directly subordinate energy storage converter model or a power control instruction of the coordinated controller model or a power control instruction of a subordinate energy storage converter model of the coordinated controller model.
7. The electrochemical energy storage power station AGC model of claim 1,
the operation modes of the coordination controller model include: an instruction forwarding mode, an AGC mode and a primary frequency modulation mode; wherein,
when the instruction forwarding mode is used, the coordination controller model forwards a power control instruction of an energy storage converter model which belongs to the coordination controller model and is obtained by controlling the calculation of the grid-connected point model to the energy storage converter model, and the instruction issuing is completed;
when in the AGC mode, the coordination controller model directly issues a received power control instruction from the control grid-connected point model to corresponding coordination controller equipment, and the coordination controller equipment completes the calculation of the power control instruction of subordinate energy storage converter equipment and then issues the power control instruction to the energy storage converter equipment to complete the power control of the energy storage converter equipment;
and in the primary frequency modulation mode, the coordination controller model directly sends a power control instruction of an energy storage converter model which is subordinate to the coordination controller model and obtained by controlling the calculation of the grid-connected point model to corresponding coordination controller equipment through a front node, and the coordination controller equipment superposes and calculates the primary frequency modulation instruction and sends the power instruction to the energy storage converter equipment to complete the power control of the energy storage converter equipment.
8. The electrochemical energy storage power station AGC model of claim 7,
and the energy storage converter model is used for summarizing and calculating the operation data and the operation state of the current energy storage converter model, calculating the data and the state of the battery management system corresponding to the battery pack model associated with the energy storage converter model, calculating the maximum chargeable and dischargeable power of the battery pack model, and making a calculation decision for the upper layer model corresponding to the battery pack model.
9. The electrochemical energy storage power station AGC model of claim 8,
the battery pack model, the battery cluster model and the battery cell model are used for respectively receiving the running data and the running state of the corresponding battery pack equipment, the corresponding battery cluster equipment and the corresponding battery cell equipment, so that the upper layer model can perform level summarization and power control instruction calculation, and does not participate in active power control of the energy storage converter equipment.
10. A method for controlling an electrochemical energy storage plant AGC model implemented by the electrochemical energy storage plant AGC model according to any one of claims 1 to 9,
the control method comprises the following steps:
step 1, from the bottom layer, acquiring the running state of an AGC logic equipment model of the layer, and sequentially transmitting the running state obtained after level summary calculation to an energy storage power station model or a control grid-connected point model from bottom to top; wherein, the operation state of the AGC logic device model comprises: fault state, alarm state, on-off state and running mode;
step 2, collecting operation data of an AGC logic equipment model of the layer from the bottom layer, and sequentially transmitting the operation data obtained after level summarizing calculation to an energy storage power station model or a control grid-connected point model from bottom to top; wherein the operation data of the AGC logic device model comprises: maximum chargeable power, maximum dischargeable power, power limit, SOC, SOH;
step 3, calculating a power control instruction of an AGC logic equipment model of the next layer according to the operation state and operation data after the summary of the current level and combining the power control instruction from an energy storage power station model or a control grid-connected point model, and calculating the power control instruction of the controllable bottommost AGC logic equipment model by iteration for multiple times from top to bottom; the method comprises the following steps that a control grid-connected point model calculates to obtain a power control instruction of a directly subordinate energy storage converter model or a power control instruction of a coordinated controller model or a power control instruction of a subordinate energy storage converter model of the coordinated controller model;
step 4, the coordination controller model sends a power control instruction of an energy storage converter model which is subordinate to the coordination controller model and obtained by controlling the calculation of the grid-connected point model to the energy storage converter model or the energy storage converter equipment; or the coordinated controller model calculates the control grid-connected point model to obtain a power control instruction of the coordinated controller model, sends the power control instruction to the coordinated controller equipment, and sends the power control instruction to the energy storage converter equipment after the coordinated controller equipment completes calculation of the power control instruction of the subordinate energy storage converter equipment.
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| CN116706954A (en) * | 2023-06-19 | 2023-09-05 | 广东新型储能国家研究院有限公司 | IEC 61850-based energy storage hierarchical control system and control method |
| CN118367591A (en) * | 2024-06-20 | 2024-07-19 | 烟台开发区德联软件有限责任公司 | Energy storage power station partition automatic power generation control method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116706954A (en) * | 2023-06-19 | 2023-09-05 | 广东新型储能国家研究院有限公司 | IEC 61850-based energy storage hierarchical control system and control method |
| CN118367591A (en) * | 2024-06-20 | 2024-07-19 | 烟台开发区德联软件有限责任公司 | Energy storage power station partition automatic power generation control method and system |
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