CN103606107A - Wind power-solar power-energy storage combined power generation system equipment state assessment information system - Google Patents

Abstract

The present invention provides an equipment status evaluation information system for a wind-solar-storage combined power generation system. The system includes: a data entry unit, a wind power subsystem evaluation unit, a photovoltaic subsystem evaluation unit, and an energy storage subsystem evaluation unit; wherein, the data entry unit includes: Data input interface, data storage module; wind power subsystem evaluation unit includes: wind power index calculation module, wind power status classification module, wind power status warning module, wind power maintenance decision-making module, wind power status evaluation module; photovoltaic subsystem evaluation unit includes: photovoltaic index calculation module, photovoltaic state classification module, photovoltaic state early warning module, photovoltaic maintenance decision-making module, photovoltaic state evaluation module; energy storage subsystem evaluation unit includes: energy storage index calculation module, energy storage state classification module, energy storage Maintenance decision-making module, energy storage status evaluation module. The invention reduces the operation and maintenance cost, improves the availability of the equipment, and prolongs the maintenance period of the equipment.

Description

A wind-solar-storage combined power generation system equipment status evaluation information system

technical field

The invention relates to the field of electric power technology, in particular to an information system for equipment status evaluation of a wind-solar-storage combined power generation system.

Background technique

Wind-solar-storage combined power generation system is a combined power generation system composed of various types of green energy such as wind power generation, solar power generation and energy storage power stations, including wind power subsystems, photovoltaic subsystems and energy storage subsystems; among them, the wind power subsystem is composed of The power generation system composed of wind power generation energy types is composed of all types of wind power generators, step-up transformers, collection lines, collection line switch cabinets, and fan monitoring systems; the photovoltaic subsystem is a power generation system composed of photovoltaic power generation energy types. components, combiner boxes, DC power distribution cabinets, inverters, step-up transformers, collection lines, collection line switch cabinets, and photovoltaic monitoring systems; the energy storage subsystem is a system composed of various energy storage devices. It is composed of its control system, energy storage converter, step-up transformer, collection line, collection line switch cabinet, and energy storage monitoring system.

At present, wind-storage-storage combined power generation systems have been built and put into operation in many regions of my country. After years of development, the operation and maintenance technology of the traditional power generation system has been relatively mature. However, the wind-solar-storage combined power generation technology has just started. At this stage, its operation and maintenance mainly refers to the operation and maintenance scheme of thermal power, hydropower and other power equipment.

Different from the traditional power generation system, the wind-solar-storage combined power generation system has the characteristics of geographical distribution and performance dispersion. It involves many manufacturers and a large number of equipment. Equipment inspection and maintenance need to consider various factors such as weather and traffic. The traditional mode of regular inspection and post-maintenance of power generation equipment will consume a lot of manpower and time, and cannot meet the requirements of improving equipment operation reliability, minimizing equipment failure, and improving equipment availability.

With the development of computer software and sensing technology, overhaul and maintenance models based on the status of power equipment have appeared in recent years, which continuously monitor, evaluate and predict the health decline of equipment, and formulate maintenance plans on demand. When the equipment fails, the maintenance period of the equipment is extended to the maximum extent, and the maintenance cost of the whole life of the equipment is reduced. The key to this maintenance mode is to make a quick and scientific assessment of the health status of the equipment. However, due to technical limitations, this mode has not been developed in the maintenance of traditional power generation equipment, and most of them are in the theoretical and conceptual stage. There is no reference theory and experience for such a combined power generation system, and there is no research on related technologies for evaluating the state of a wind-solar-storage combined power generation system.

Contents of the invention

The main purpose of the embodiments of the present invention is to provide an equipment status assessment information system for a wind-solar-storage combined power generation system, so as to provide a technology capable of evaluating the health status of various power equipment operating states in the wind-solar-storage combined power generation system.

In order to achieve the above purpose, an embodiment of the present invention provides an equipment status evaluation information system for a wind-solar-storage combined power generation system, including: a data entry unit, a wind power subsystem evaluation unit, a photovoltaic subsystem evaluation unit, and an energy storage subsystem evaluation unit; wherein,

The data entry unit specifically includes:

Data input interface, used to receive basic monitoring data of wind power equipment, basic monitoring data of photovoltaic equipment and basic monitoring data of energy storage equipment;

A data storage module, connected to the data input interface, for storing the basic monitoring data of the wind power equipment, the basic monitoring data of the photovoltaic equipment, and the basic monitoring data of the energy storage equipment;

The wind power subsystem evaluation unit specifically includes:

The wind power index calculation module is connected to the data storage module, and is used to calculate the reliability index and performance index of the wind power equipment according to the basic monitoring data of the wind power equipment;

A wind power state grading module, connected to the wind power index calculation module, for grading the state of the wind power equipment according to the reliability index and performance index of the wind power equipment;

A wind power state early warning module, connected to the wind power state grading module, for giving an alarm according to the state level of the wind power equipment;

The wind power maintenance decision-making module is connected to the wind power index calculation module, and is used to determine the defect location of the wind power equipment according to the reliability index and performance index of the wind power equipment, and give a defect elimination strategy;

A wind power state evaluation module, connected to the wind power index calculation module, for generating a state evaluation report of the wind power subsystem according to the reliability index and performance index of the wind power equipment;

The photovoltaic subsystem evaluation unit specifically includes:

The photovoltaic index calculation module is connected to the data storage module, and is used to generate the reliability index and performance index of the photovoltaic equipment according to the basic monitoring data of the photovoltaic equipment;

A photovoltaic state grading module, connected to the photovoltaic index calculation module, for grading the state of the photovoltaic equipment according to the reliability index and performance index of the photovoltaic equipment;

A photovoltaic state early warning module, connected to the photovoltaic state grading module, for alarming according to the state level of the photovoltaic equipment;

The photovoltaic maintenance decision-making module is connected to the photovoltaic index calculation module, and is used to determine the defect location that affects the normal operation of the photovoltaic equipment according to the reliability index and performance index of the photovoltaic equipment, and to provide a defect elimination strategy;

A photovoltaic state evaluation module, connected to the photovoltaic index calculation module, for generating a state evaluation report of the photovoltaic subsystem according to the reliability index and performance index of the photovoltaic equipment;

The evaluation unit of the energy storage subsystem specifically includes:

The energy storage index calculation module is connected to the data storage module, and is used to generate the reliability index and performance index of the energy storage device according to the basic monitoring data of the energy storage device;

An energy storage state grading module, connected to the energy storage index calculation module, for grading the state of the energy storage device according to the reliability index and performance index of the energy storage device;

An energy storage state early warning module, connected to the energy storage state grading module, for giving an alarm according to the state level of the energy storage device;

The energy storage maintenance decision-making module is connected to the energy storage index calculation module, and is used to determine the defect location that affects the normal operation of the energy storage device according to the reliability index and performance index of the energy storage device, and to provide a defect elimination strategy;

The energy storage state evaluation module is connected to the energy storage index calculation module, and is used to generate a state evaluation report of the energy storage subsystem according to the reliability index and performance index of the energy storage device.

With the help of the above technical solution, the present invention first obtains the basic monitoring data of wind power equipment/photovoltaic equipment/energy storage equipment online or offline through the data entry unit, and then respectively through the wind power subsystem evaluation unit, photovoltaic subsystem evaluation unit and energy storage The system evaluation unit uses these basic monitoring data to calculate the reliability index and performance index of wind power equipment/photovoltaic equipment/energy storage equipment, and then uses the pre-established equipment status level judgment standards to determine the status level of wind power equipment/photovoltaic equipment/energy storage equipment , compared with the prior art, the embodiment of the present invention can automatically evaluate the health status of various types of equipment operating status, provide an early warning function for bad status, provide defect elimination strategies, and optimize equipment operation, thereby improving the operation and maintenance management of power generation units Level, reduce operation and maintenance costs, improve the availability of equipment, and extend the maintenance cycle of equipment.

Description of drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only of the present invention. For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying creative efforts.

Fig. 1 is a structural block diagram of the equipment status evaluation information system of the wind-solar-storage combined power generation system provided by the present invention;

Fig. 2 is the structural block diagram of the data entry unit provided by the present invention;

Fig. 3 is the structural block diagram of the wind power subsystem evaluation unit provided by the present invention;

Fig. 4 is the structural block diagram of the photovoltaic subsystem evaluation unit provided by the present invention;

Fig. 5 is a structural block diagram of the evaluation unit of the energy storage subsystem provided by the present invention;

Fig. 6 is a schematic diagram of the equipment status level judgment standard provided by the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The present invention provides an equipment status evaluation information system for a wind-solar-storage combined power generation system, as shown in Figure 1, the system includes: a data entry unit 11, a wind power subsystem evaluation unit 12, a photovoltaic subsystem evaluation unit 13, and an energy storage subsystem evaluation unit Unit 14.

As shown in FIG. 2 , the data entry unit 11 specifically includes: a data input interface 111 and a data storage module 112 .

The data input interface 111 is used to receive basic monitoring data of wind power equipment, basic monitoring data of photovoltaic equipment and basic monitoring data of energy storage equipment.

Specifically, the basic monitoring data of wind power equipment is various parameter data obtained by monitoring the operation process of each wind power equipment in the wind power subsystem, such as: wind turbine voltage, current, 10-min average active power, 10-min average wind speed, pitch angle, wind angle etc.

The basic monitoring data of photovoltaic equipment is various parameter data obtained by monitoring the operation process of each photovoltaic equipment in the photovoltaic subsystem, such as: ambient temperature, humidity, wind speed, solar irradiance; photovoltaic string output voltage, output current; confluence Box output voltage, output current; photovoltaic inverter output voltage, output current, 10min average active power, etc.

The basic monitoring data of energy storage equipment is various parameter data obtained by monitoring the operation process of each energy storage equipment in the energy storage subsystem, such as: charging and discharging instantaneous voltage, instantaneous current, battery temperature, battery calibration capacity, etc.

In a preferred embodiment, the data input interface 111 is an online interface, which is respectively connected to the wind turbine monitoring system, the photovoltaic monitoring system and the energy storage monitoring system, and is used to obtain the basic monitoring information of the wind power equipment from the wind turbine monitoring system in real time. The basic monitoring data of the photovoltaic equipment is obtained from the photovoltaic monitoring system, and the basic monitoring data of the energy storage equipment is obtained from the energy storage monitoring system. In this case, the data input interface 111 supports online reception of various basic monitoring data that changes in real time (that is, wind power equipment/photovoltaic equipment/energy storage equipment basic monitoring data), which provides a reliable data basis for the follow-up work of the system and avoids It eliminates the trouble of users manually importing data, and the system has a high degree of automation.

In another preferred embodiment, the data input interface 111 can also be an offline interface, which is used to offline receive basic monitoring data of wind power equipment, basic monitoring data of photovoltaic equipment, and basic monitoring data of energy storage equipment imported by users. In this case, the data input interface 111 supports off-line reception of various types of basic monitoring data manually imported by the user, which is applicable to the situation that the evaluation information system does not support connection with the wind turbine monitoring system, photovoltaic monitoring system and energy storage monitoring system, or, The network connecting the wind turbine monitoring system, photovoltaic monitoring system and energy storage monitoring system fails and cannot be received online.

The data storage module 112 is connected to the data input interface 111 and is used for storing the basic monitoring data of the wind power equipment, the basic monitoring data of the photovoltaic equipment, and the basic monitoring data of the energy storage equipment.

Specifically, the data storage module 112 includes an independent database, which can store various basic monitoring data for a long time, and supports the function of calling historical data at any time.

In a preferred embodiment, the data entry unit 11 further includes: a data supplement module and/or a data modification module.

The data supplement module, connected to the data storage module 112, is used to receive the data supplement command input by the user, and add the supplement data contained in the data supplement command to the basic monitoring of wind power equipment stored in the data storage module 112. data, basic monitoring data of photovoltaic equipment, and basic monitoring data of energy storage equipment.

Specifically, the data supplement module provides a function for the user to manually supplement basic monitoring data, which is suitable for situations where various basic monitoring data received online or offline by the data input interface 111 are missing.

The data modification module is connected to the data storage module 112, and is used to receive a data modification command input by a user, and perform basic monitoring data of wind power equipment and photovoltaic equipment basic monitoring data stored in the data storage module 112 according to the data modification command. Data and basic monitoring data of energy storage equipment are modified.

Specifically, the data modification module provides users with the function of manually modifying various basic monitoring data. For example, users can perform precision processing on data that does not meet the accuracy requirements according to actual needs, or remove values that obviously deviate from the normal situation. wait.

In a preferred embodiment, the data entry unit 11 further includes: a format conversion module, connected to the data storage module 112, for storing the basic monitoring data of wind power equipment and the basic monitoring data of photovoltaic equipment stored in the data storage module 112. Data and basic monitoring data of energy storage equipment are converted into preset formats.

Specifically, the format conversion module provides the function of converting the data format of various basic monitoring data according to the needs of subsequent processing.

As shown in FIG. 3 , the wind power subsystem evaluation unit 12 specifically includes: a wind power index calculation module 121 , a wind power status classification module 122 , a wind power status warning module 123 , a wind power maintenance decision module 124 and a wind power status evaluation module 125 .

The wind power index calculation module 121 is connected to the data storage module 112 and is used to calculate the reliability index and performance index of the wind power equipment according to the basic monitoring data of the wind power equipment.

Specifically, the wind power index calculation module 121 obtains the reliability index and performance index of the wind power equipment through statistics, analysis, and calculation of the basic monitoring data of the wind power equipment within a certain period of time (for example, every 6 months).

In the present invention, the wind power sub-system evaluation unit 12 can use one of the average trouble-free running time, time availability, energy availability, maintenance mean trouble-free running time, and equipment continuous running time under operable conditions as the wind power equipment reliability index.

In a preferred embodiment, the wind power subsystem evaluation unit 12 uses the mean time between failures as the reliability index of the wind power equipment.

In the present invention, the wind power subsystem evaluation unit 12 can use one of the power generation capacity, power characteristic guarantee rate, and power characteristic consistency coefficient as the performance index of the wind power equipment.

In a preferred embodiment, the wind power subsystem evaluation unit 12 uses the power generation capacity as the performance index of the wind power equipment.

The wind power state grading module 122 is connected to the wind power index calculation module 121, and is used to classify the state of the wind power equipment according to the reliability index and performance index of the wind power equipment.

Specifically, the wind power status grading module 122 first uses the pre-established wind power equipment reliability index judgment standard to classify the reliability index of the wind power equipment, and uses the pre-established wind power equipment performance index judgment standard to classify the wind power equipment performance index. The performance indicators of wind power equipment are divided into levels; then, using the pre-established equipment status level judgment criteria, the reliability index level and performance index level of wind power equipment are integrated to determine the status level of wind power equipment.

Regarding the classification of reliability indexes of wind power equipment, in a preferred embodiment, the present invention divides the reliability indexes into three grades: normal, sub-healthy, and severe by using a preset reliability index judgment standard. For example, for the reliability index, two standard thresholds are preset, which are recorded as the first-level standard threshold and the second-level standard threshold; when the reliability index is less than the first-level standard threshold, it is a normal level; when the reliability index is greater than or equal to one When the reliability index is greater than or equal to the threshold of the second-level standard, it is the severe level.

Similarly, for the classification of performance indexes of wind power equipment, in a preferred embodiment, the present invention divides performance indexes into three grades: excellent, good, and poor by using pre-established performance index judgment standards.

For the status level division of wind power equipment, in a preferred embodiment, the present invention uses the pre-established equipment status level judgment criteria to divide the status of wind power equipment into three types: normal state, sub-healthy state, and serious state, and , as shown in Figure 6, the pre-established equipment status level judgment standard is: when the reliability index is normal and the performance index is excellent, the equipment status is determined to be normal; when the reliability index is sub-healthy, or the performance index is When it is good, it is determined that the state of the equipment is sub-healthy; when the reliability index is serious, or the performance index is poor, it is determined that the state of the equipment is serious.

The wind power state early warning module 123 is connected to the wind power state grading module 122, and is used to give an alarm according to the state level of the wind power equipment.

In a preferred embodiment, the wind power state early warning module 123 provides an early warning function for the sub-health state and serious state of the wind power equipment.

The wind power maintenance decision-making module 124 is connected to the wind power index calculation module 121, and is used to determine the defect location of the wind power equipment according to the reliability index and performance index of the wind power equipment, and provide a defect elimination strategy.

Specifically, when the reliability index of the wind power equipment is sub-health level or severe level, the wind power maintenance decision-making module 124 provides automatic analysis of the causes of frequent failures of the wind power equipment, locates the defect location, and gives an appropriate solution based on the maintenance experience. Features such as defect elimination strategies (such as preventive maintenance or replacement parts);

When the performance indicators of wind power equipment are good or poor, the wind power maintenance decision-making provides functions such as automatic analysis of external environmental factors, control system parameters, diagnostic tests when necessary, and targeted maintenance to restore performance indicators.

The wind power state evaluation module 125 is connected to the wind power index calculation module 121, and is used to generate a state evaluation report of the wind power subsystem according to the reliability index and performance index of the wind power equipment.

Specifically, after the wind power index calculation module 121 calculates the reliability index and performance index, and the wind power state classification module 122 classifies the state of the wind power equipment, the wind power state evaluation module 125 should issue a state evaluation report for users to review.

In a preferred embodiment, in order to make the assessment report format uniform and easy for users to refer to, a wind power equipment status assessment report template can be prepared in advance, and the wind power status assessment module 125 can generate a wind power equipment status assessment report according to the template.

In addition to the above various functional modules, in a preferred embodiment, the wind power subsystem evaluation unit 12 also includes:

The wind power index query module, connected to the wind power index calculation module 121, is used to receive the wind power equipment index query command input by the user, analyze the time period and the specific wind power equipment that the user wants to query according to the wind power equipment query command, and store the time In the section, the reliability index and performance index corresponding to the specific wind power equipment are displayed to the user.

Specifically, the wind power index query module provides the user with the function of querying the reliability index and performance index of some specific wind power equipment within a specific time period. Using the wind power index query module, the user only needs to input the time period and specific Wind power equipment number, you can query the corresponding historical index data.

As shown in FIG. 4 , the photovoltaic subsystem evaluation unit 13 specifically includes: a photovoltaic index calculation module 131 , a photovoltaic status classification module 132 , a photovoltaic status warning module 133 , a photovoltaic maintenance decision module 134 and a photovoltaic status evaluation module 135 .

The photovoltaic index calculation module 131 is connected to the data storage module 112 and is used to generate reliability indexes and performance indexes of photovoltaic equipment according to the basic monitoring data of photovoltaic equipment.

Specifically, the photovoltaic index calculation module 131 obtains the reliability index and performance index of photovoltaic equipment through statistics, analysis, and calculation of basic monitoring data of photovoltaic equipment within a certain period of time (for example, every 6 months as a period of time).

In the present invention, the photovoltaic subsystem evaluation unit 13 can use one of the average trouble-free running time, time availability, energy availability, maintenance mean trouble-free running time, and equipment continuous running time under operable conditions as the photovoltaic device reliability index.

In a preferred embodiment, the photovoltaic subsystem evaluation unit 13 uses the mean time between failures as the reliability index of the photovoltaic equipment.

In the present invention, the photovoltaic subsystem evaluation unit 13 can use one of the power generation capacity, power characteristic guarantee rate, and power characteristic consistency coefficient as the performance index of photovoltaic equipment.

In a preferred embodiment, the photovoltaic subsystem evaluation unit 13 uses the power generation capacity as the performance index of the photovoltaic equipment.

The photovoltaic state grading module 132 is connected to the photovoltaic index calculation module 131, and is used to classify the state of the photovoltaic equipment according to the reliability index and performance index of the photovoltaic equipment.

Specifically, the photovoltaic state grading module 132 first classifies the reliability index of the photovoltaic equipment by using the predetermined judgment standard of the photovoltaic equipment reliability index, and uses the predetermined judgment standard of the photovoltaic equipment performance index to classify the The performance indicators of photovoltaic equipment are divided into levels; then, using the pre-established equipment status level judgment standards, the reliability index level and performance index level of photovoltaic equipment are integrated to determine the status level of photovoltaic equipment.

Regarding the classification of reliability indexes of photovoltaic equipment, in a preferred embodiment, the present invention divides the reliability indexes into three levels: normal, sub-healthy and serious by using the preset reliability index judgment criteria. For example, for the reliability index, two standard thresholds are preset, which are recorded as the first-level standard threshold and the second-level standard threshold; when the reliability index is less than the first-level standard threshold, it is a normal level; when the reliability index is greater than or equal to one When the reliability index is greater than or equal to the threshold of the second-level standard, it is the severe level.

Similarly, for the classification of performance indexes of photovoltaic equipment, in a preferred embodiment, the present invention uses pre-established performance index judgment standards to classify performance indexes into three levels: excellent, good, and poor.

For the classification of the state level of photovoltaic equipment, in a preferred embodiment, the present invention uses the pre-established equipment state level judgment standard to divide the state of photovoltaic equipment into three types: normal state, sub-health state, and serious state, and , as shown in Figure 6, the pre-established equipment status level judgment standard is: when the reliability index is normal and the performance index is excellent, the equipment status is determined to be normal; when the reliability index is sub-healthy, or the performance index is When it is good, it is determined that the state of the equipment is sub-healthy; when the reliability index is serious, or the performance index is poor, it is determined that the state of the equipment is serious.

The photovoltaic state early warning module 133 is connected to the photovoltaic state grading module 132, and is configured to give an alarm according to the state level of the photovoltaic equipment.

In a preferred embodiment, the photovoltaic state early warning module 133 provides an early warning function for the sub-health state and serious state of the photovoltaic equipment.

The photovoltaic maintenance decision-making module 134 is connected to the photovoltaic index calculation module 131, and is used to determine the defect location that affects the normal operation of the photovoltaic equipment according to the reliability index and performance index of the photovoltaic equipment, and to provide a defect elimination strategy.

Specifically, when the reliability index of photovoltaic equipment is sub-health level or serious level, the photovoltaic maintenance decision-making module 134 provides automatic analysis of the causes of frequent failures of photovoltaic equipment, locates the defect location, and gives an appropriate solution based on maintenance experience. Features such as defect elimination strategies (such as preventive maintenance or replacement parts);

When the performance index of photovoltaic equipment is good or poor, photovoltaic maintenance decision-making provides functions such as automatic analysis of external environmental factors, control system parameters, diagnostic tests when necessary, and targeted maintenance to restore performance indicators.

The photovoltaic state evaluation module 135 is connected to the photovoltaic index calculation module 131, and is used to generate a state evaluation report of the photovoltaic subsystem according to the reliability index and performance index of the photovoltaic equipment;

Specifically, after the photovoltaic index calculation module 131 calculates the reliability index and performance index, and the photovoltaic state grading module 132 classifies the state of the photovoltaic equipment, the photovoltaic state evaluation module 135 should issue a state evaluation report for users to review.

In a preferred embodiment, in order to make the assessment report format uniform and easy for users to refer to, a photovoltaic equipment status assessment report template can be prepared in advance, and the photovoltaic equipment status assessment module 135 can generate a photovoltaic equipment status assessment report according to the template.

In addition to the above various functional modules, in a preferred embodiment, the photovoltaic subsystem evaluation unit 13 also includes:

The photovoltaic index query module, connected to the photovoltaic index calculation module 131, is used to receive the photovoltaic device index query command input by the user, analyze the time period and the specific photovoltaic device that the user wants to query according to the photovoltaic device query command, and store the time In the section, the reliability index and performance index corresponding to the specific photovoltaic equipment are displayed to the user.

Specifically, the photovoltaic index query module provides the user with the function of querying the reliability index and performance index of some specific photovoltaic equipment within a specific time period. Using the photovoltaic index query module, the user only needs to input the time period and specific You can query the corresponding historical index data by entering the serial number of the photovoltaic equipment.

As shown in Figure 5, the energy storage subsystem evaluation unit 14 specifically includes: an energy storage index calculation module 141, an energy storage status classification module 142, an energy storage status warning module 143, an energy storage maintenance decision module 144, and an energy storage status evaluation module 145 .

The energy storage indicator calculation module 141 is connected to the data storage module 112, and is used to generate reliability indicators and performance indicators of the energy storage equipment according to the basic monitoring data of the energy storage equipment.

Specifically, the energy storage index calculation module 141 obtains the reliability index and Performance.

In the present invention, the evaluation unit 14 of the energy storage subsystem can use one of the average trouble-free running time, time availability, energy availability, maintenance mean trouble-free running time, and equipment continuous running time under operable conditions as the storage system. Reliability indicators of functional equipment.

In a preferred embodiment, the energy storage subsystem evaluation unit 14 uses the mean time between failures as the reliability index of the energy storage equipment.

In the present invention, the energy storage sub-system evaluation unit 14 can use one of the actual capacity of the energy storage battery and the charging and discharging efficiency as the performance index of the energy storage device.

In a preferred embodiment, the energy storage subsystem evaluation unit 14 uses the actual capacity of the energy storage battery as the performance index of the energy storage device.

The energy storage state grading module 142 is connected to the energy storage index calculation module 141, and is used to classify the state of the energy storage device according to the reliability index and performance index of the energy storage device.

Specifically, the energy storage state grading module 142 first uses the pre-established energy storage device reliability index judgment standard to classify the reliability index of the energy storage device, and uses the pre-established energy storage device performance index judgment standard , classifying the performance indicators of the energy storage equipment; then, using the pre-established equipment status level judgment criteria, the reliability index levels and performance index levels of the energy storage equipment are integrated to determine the status level of the energy storage equipment.

With regard to the classification of reliability indexes of energy storage equipment, in a preferred embodiment, the present invention divides the reliability indexes into three grades: normal, sub-healthy, and serious by using preset reliability index judgment standards. For example, for the reliability index, two standard thresholds are preset, which are recorded as the first-level standard threshold and the second-level standard threshold; when the reliability index is less than the first-level standard threshold, it is a normal level; when the reliability index is greater than or equal to one When the reliability index is greater than or equal to the threshold of the second-level standard, it is the severe level.

Similarly, for the classification of energy storage device performance indexes, in a preferred embodiment, the present invention uses pre-established performance index judgment standards to classify performance indexes into three levels: excellent, good, and poor.

Aiming at the status level division of energy storage equipment, in a preferred embodiment, the present invention uses the pre-established equipment status level judgment criteria to divide the status of energy storage equipment into three types: normal state, sub-healthy state, and serious state , and, as shown in Figure 6, the pre-established equipment status level judgment standard is: when the reliability index is normal and the performance index is excellent, the equipment status is determined to be normal; when the reliability index is sub-healthy, or When the performance index is good, determine the state of the equipment as a sub-health state; when the reliability index is serious, or the performance index is poor, determine the state of the equipment as a serious state.

The energy storage state early warning module 143 is connected to the energy storage state grading module 142, and is used to give an alarm according to the state level of the energy storage device.

In a preferred embodiment, the energy storage state early warning module 143 provides an early warning function for the sub-health state and serious state of the energy storage device.

The energy storage maintenance decision-making module 144 is connected to the energy storage index calculation module 141, and is used to determine the defect location that affects the normal operation of the energy storage device according to the reliability index and performance index of the energy storage device, and to provide a defect elimination strategy .

Specifically, when the reliability index of the energy storage equipment is at the sub-health level or severe level, the energy storage maintenance decision-making module 144 automatically analyzes the causes of frequent failures of the energy storage equipment, locates the location of the defect, and gives functions such as developing appropriate defect elimination strategies (such as preventive maintenance or replacement parts);

When the performance index of the energy storage equipment is good or poor, the energy storage maintenance decision provides functions such as automatic analysis of external environmental factors, control system parameters, diagnostic tests when necessary, and targeted maintenance to restore performance indicators.

The energy storage state evaluation module 145 is connected to the energy storage index calculation module 141, and is used to generate a state evaluation report of the energy storage subsystem according to the reliability index and performance index of the energy storage device.

Specifically, after the energy storage index calculation module 141 calculates the reliability index and performance index, and the energy storage state classification module 142 classifies the state of the energy storage device, the energy storage state evaluation module 145 should issue a state evaluation report to for users to review.

In a preferred embodiment, in order to make the evaluation report format uniform and convenient for users to refer to, an energy storage device status evaluation report template can be prepared in advance, and the energy storage status evaluation module 145 can generate the status of the energy storage device according to the template. Evaluation Report.

In addition to the above various functional modules, in a preferred embodiment, the energy storage subsystem evaluation unit 14 also includes:

The energy storage index query module is connected to the energy storage index calculation module 141, and is used to receive the energy storage device index query command input by the user, and analyze the time period and the specific energy storage device that the user wants to query according to the energy storage device query command, And within the time period, the reliability index and performance index corresponding to the specific energy storage device are displayed to the user.

Specifically, the energy storage index query module provides the user with the function of querying the reliability index and performance index of some specific energy storage equipment within a specific time period. Using the energy storage index query module, the user only needs to input the time to be queried The corresponding historical indicator data can be queried through the number of the segment and the specific energy storage device.

In summary, the equipment status evaluation information system of the wind-solar-storage combined power generation system provided by the embodiment of the present invention has the following beneficial effects:

(1) Support the function of receiving basic monitoring data of wind power equipment/photovoltaic equipment/energy storage equipment in both online and offline modes;

(2) Support functions such as format conversion, supplementation, and modification of basic monitoring data of wind power equipment/photovoltaic equipment/energy storage equipment;

(3) Support the function of automatically calculating the reliability index and performance index of wind power equipment/photovoltaic equipment/energy storage equipment based on the basic monitoring data of wind power equipment/photovoltaic equipment/energy storage equipment;

(4) Support the function of automatically evaluating the operating status of wind power equipment/photovoltaic equipment/energy storage equipment;

(5) Support the function of alarming the bad state of wind power equipment/photovoltaic equipment/energy storage equipment;

(6) Functions that support fault analysis, locate defect locations, and provide defect elimination strategies;

(7) Support the function of issuing status assessment reports for wind power subsystems/photovoltaic subsystems/energy storage subsystems;

(8) Improve the availability of equipment and prolong the maintenance cycle of equipment;

(9) Improve the operation and maintenance management level of power generation units and reduce operation and maintenance costs.

The specific embodiments described above have further described the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above descriptions are only specific embodiments of the present invention and are not intended to limit the scope of the present invention. Protection scope, within the spirit and principles of the present invention, any modification, equivalent replacement, improvement, etc., shall be included in the protection scope of the present invention.

Claims (17)

1. A wind-storage-storage combined power generation system equipment status evaluation information system, characterized in that it includes: a data entry unit, a wind power subsystem evaluation unit, a photovoltaic subsystem evaluation unit and an energy storage subsystem evaluation unit; wherein, The data entry unit specifically includes: Data input interface, used to receive basic monitoring data of wind power equipment, basic monitoring data of photovoltaic equipment and basic monitoring data of energy storage equipment; A data storage module, connected to the data input interface, for storing the basic monitoring data of the wind power equipment, the basic monitoring data of the photovoltaic equipment, and the basic monitoring data of the energy storage equipment; The wind power subsystem evaluation unit specifically includes: The wind power index calculation module is connected to the data storage module, and is used to calculate the reliability index and performance index of the wind power equipment according to the basic monitoring data of the wind power equipment; A wind power state grading module, connected to the wind power index calculation module, for grading the state of the wind power equipment according to the reliability index and performance index of the wind power equipment; A wind power state early warning module, connected to the wind power state grading module, for giving an alarm according to the state level of the wind power equipment; The wind power maintenance decision-making module is connected to the wind power index calculation module, and is used to determine the defect location of the wind power equipment according to the reliability index and performance index of the wind power equipment, and give a defect elimination strategy; A wind power state evaluation module, connected to the wind power index calculation module, for generating a state evaluation report of the wind power subsystem according to the reliability index and performance index of the wind power equipment; The photovoltaic subsystem evaluation unit specifically includes: The photovoltaic index calculation module is connected to the data storage module, and is used to generate the reliability index and performance index of the photovoltaic equipment according to the basic monitoring data of the photovoltaic equipment; A photovoltaic state grading module, connected to the photovoltaic index calculation module, for grading the state of the photovoltaic equipment according to the reliability index and performance index of the photovoltaic equipment; A photovoltaic state early warning module, connected to the photovoltaic state grading module, for alarming according to the state level of the photovoltaic equipment; The photovoltaic maintenance decision-making module is connected to the photovoltaic index calculation module, and is used to determine the defect location that affects the normal operation of the photovoltaic equipment according to the reliability index and performance index of the photovoltaic equipment, and to provide a defect elimination strategy; A photovoltaic state evaluation module, connected to the photovoltaic index calculation module, for generating a state evaluation report of the photovoltaic subsystem according to the reliability index and performance index of the photovoltaic equipment; The evaluation unit of the energy storage subsystem specifically includes: The energy storage index calculation module is connected to the data storage module, and is used to generate the reliability index and performance index of the energy storage device according to the basic monitoring data of the energy storage device; An energy storage state grading module, connected to the energy storage index calculation module, for grading the state of the energy storage device according to the reliability index and performance index of the energy storage device; An energy storage state early warning module, connected to the energy storage state grading module, for giving an alarm according to the state level of the energy storage device; The energy storage maintenance decision-making module is connected to the energy storage index calculation module, and is used to determine the defect location that affects the normal operation of the energy storage device according to the reliability index and performance index of the energy storage device, and to provide a defect elimination strategy; The energy storage state evaluation module is connected to the energy storage index calculation module, and is used to generate a state evaluation report of the energy storage subsystem according to the reliability index and performance index of the energy storage device. 2. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, The wind power subsystem evaluation unit, the photovoltaic subsystem evaluation unit and the energy storage subsystem evaluation unit use the average time between failures, time availability, energy availability, maintenance average time between failures, and equipment continuity under operable conditions. One of the runtimes as a reliability indicator; The wind power subsystem evaluation unit and the photovoltaic subsystem evaluation unit use one of power generation capacity, power characteristic guarantee rate, and power characteristic consistency coefficient as a performance index; The evaluation unit of the energy storage subsystem uses one of the actual capacity of the energy storage battery and the charging and discharging efficiency as the performance index. 3. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 2, characterized in that, The evaluation unit of the wind power subsystem, the evaluation unit of the photovoltaic subsystem and the evaluation unit of the energy storage subsystem adopt the average trouble-free running time as the reliability index; The wind power subsystem evaluation unit and the photovoltaic subsystem evaluation unit use power generation capacity as a performance index; The evaluation unit of the energy storage subsystem uses the actual capacity of the energy storage battery as a performance index. 4. The equipment status assessment information system of wind-solar-storage combined power generation system according to claim 1, wherein the wind power status classification module is specifically used for: Classify the reliability indicators of the wind power equipment by using the pre-established reliability indicator criteria for wind power equipment; Classify the performance indicators of the wind power equipment by using the pre-established wind power equipment performance indicator criteria; The status level of the wind power equipment is determined by combining the reliability index level and the performance index level of the wind power equipment with the pre-established equipment status level judgment standard. 5. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, the photovoltaic status classification module is specifically used for: Classifying the reliability indicators of the photovoltaic equipment by using the predetermined criteria for judging the reliability indicators of the photovoltaic equipment; Classifying the performance indicators of the photovoltaic equipment by using the pre-established photovoltaic equipment performance indicator criteria; The status level of the photovoltaic equipment is determined by using the pre-established equipment status level judgment standard and combining the reliability index level and the performance index level of the photovoltaic equipment. 6. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, wherein the energy storage status classification module is specifically used for: Classifying the reliability indicators of the energy storage equipment by using the pre-established energy storage equipment reliability indicator criteria; Classifying the performance indicators of the energy storage equipment by using the pre-established energy storage equipment performance indicator criteria; The status level of the energy storage device is determined by using the pre-established equipment status level judgment standard and combining the reliability index level and the performance index level of the energy storage device. 7. The equipment status evaluation information system of wind-solar-storage combined power generation system according to any one of claims 4-6, characterized in that, The level of the reliability index is divided into three types: normal, sub-health, and serious; The grades of the performance indicators are divided into three types: excellent, good and poor; The state levels of the wind power equipment are divided into three types: normal state, sub-health state, and serious state; The criteria for judging the equipment status level are as follows: When the reliability index is normal and the performance index is excellent, it is determined that the equipment status is normal; When the reliability index is sub-healthy or the performance index is good, it is determined that the equipment is in a sub-healthy state; When the reliability index is critical, or the performance index is poor, determine that the equipment status is critical. 8. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 7, characterized in that, The wind power state early warning module is specifically used to: give an alarm when the state level of the wind power equipment is determined to be a sub-health state or a serious state; The photovoltaic state early warning module is specifically used to: give an alarm when it is determined that the state level of the photovoltaic equipment is a sub-health state or a serious state; The energy storage state early warning module is specifically configured to: give an alarm when it is determined that the state level of the energy storage device is a sub-health state or a serious state. 9. The equipment status assessment information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, the wind power subsystem assessment unit further comprises: The wind power index query module, connected to the wind power index calculation module, is used to receive the wind power equipment index query command input by the user, analyze the time period and the specific wind power equipment that the user wants to query according to the wind power equipment query command, and store the time period , the reliability index and performance index corresponding to the specific wind power equipment are displayed to the user. 10. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, the photovoltaic subsystem evaluation unit further includes: The photovoltaic index query module, connected to the photovoltaic index calculation module, is used to receive the photovoltaic device index query command input by the user, analyze the time period and the specific photovoltaic device that the user wants to query according to the photovoltaic device query command, and store the time period , the reliability index and performance index corresponding to the specific photovoltaic equipment are displayed to the user. 11. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, the evaluation unit of the energy storage subsystem further includes: The energy storage index query module is connected to the energy storage index calculation module, and is used to receive the energy storage device index query command input by the user, analyze the time period and the specific energy storage device that the user wants to query according to the energy storage device query command, and During the time period, the reliability index and performance index corresponding to the specific energy storage device are displayed to the user. 12. The wind power storage combined power generation system equipment status evaluation information system according to claim 1, wherein the wind power status evaluation module is specifically used for: Use the pre-customized wind power equipment status assessment report template to generate the status assessment report of the wind power subsystem. 13. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, the photovoltaic status evaluation module is specifically used for: Use the pre-customized photovoltaic equipment status assessment report template to generate the status assessment report of the photovoltaic subsystem. 14. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, the energy storage status evaluation module is specifically used for: Use the pre-customized energy storage equipment status assessment report template to generate the status assessment report of the energy storage subsystem. 15. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, wherein the data input interface specifically includes: an online interface and/or an offline interface; wherein, The online interface is respectively connected to the wind turbine monitoring system, the photovoltaic monitoring system and the energy storage monitoring system, and is used to obtain the basic monitoring data of the wind power equipment from the wind turbine monitoring system in real time, and obtain the basic monitoring data of the photovoltaic equipment from the photovoltaic monitoring system. Monitoring data, obtaining basic monitoring data of the energy storage device from the energy storage monitoring system; The offline interface is used to receive basic monitoring data of wind power equipment, basic monitoring data of photovoltaic equipment, and basic monitoring data of energy storage equipment imported by users. 16. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, wherein the data entry unit further comprises: a data supplement module and/or a data modification module; wherein, The data supplement module, connected to the data storage module, is used to receive the data supplement command input by the user, and add the supplementary data contained in the data supplement command to the wind power equipment basic monitoring data stored in the data storage module, Basic monitoring data of photovoltaic equipment and basic monitoring data of energy storage equipment; The data modification module is connected to the data storage module, and is used to receive a data modification command input by a user, and to modify the basic monitoring data of wind power equipment, basic monitoring data of photovoltaic equipment, Modify the basic monitoring data of energy storage equipment. 17. The equipment status evaluation information system of wind-solar-storage combined power generation system according to claim 1, characterized in that, the data entry unit further includes: A format conversion module, connected to the data storage module, is used to convert the basic monitoring data of wind power equipment, basic monitoring data of photovoltaic equipment and basic monitoring data of energy storage equipment stored in the data storage module into a preset format.

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