Park energy storage equipment data management system based on source network load storage architecture

Abstract

The invention relates to the technical field of smart power grids, and discloses a source network load storage architecture-based park energy storage equipment data management system, which comprises a park data module, a park energy storage analysis module, a park energy storage feedback module, a park energy storage evaluation module and a park energy storage management upgrading module, the park data module is responsible for collecting park internal environment data, park energy storage equipment data and park energy scheduling data, the park energy storage analysis module is responsible for calculating the service life of park energy storage equipment, an equipment management efficiency improvement index and a park energy scheduling improvement coefficient, and the park energy storage feedback module is responsible for feeding back the real-time operation state of the energy storage equipment in the park. The park energy storage evaluation module performs prediction according to a calculation result of the park energy storage analysis module and evaluates real-time state data of the park energy storage feedback module, and the park energy storage management upgrading module processes an evaluation result of the park energy storage evaluation module, including optimization of a scheduling strategy, making of an equipment maintenance plan and system upgrading.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart grid, in particular to a park energy storage equipment data management system based on source network load storage architecture. BACKGROUND

[0002] In the field of park energy storage equipment data management, although the existing technology has made certain progress, there are still many problems to be solved. On the one hand, the data management efficiency is low, because of the lack of unified data management platform and standard, the data is scattered in different systems and equipment, it is difficult to realize centralized management and sharing, which makes the data query, retrieval and analysis efficiency not high, and cannot provide accurate decision basis for park energy management in time. On the other hand, the data analysis ability is insufficient, the current technology can only carry out simple statistics and report generation, it is difficult to deeply mine the potential value of data, and the support is not enough in the key aspects of energy storage equipment life prediction, performance evaluation and optimization scheduling. In addition, the data management system is not closely integrated with park energy scheduling and operation management, lacks intelligent decision support, cannot automatically generate optimized scheduling strategy and operation scheme according to data analysis results, still needs a lot of manual intervention, which seriously restricts the overall operation efficiency and economic benefit of park energy system. SUMMARY

[0003] (I) Technical problems solved In view of the shortcomings of the prior art, the present application provides a park energy storage equipment data management system based on source network load storage architecture, which has the advantages of efficient data integration, deep data analysis and intelligent decision support, solves the problems of scattered data management, low efficiency, insufficient analysis ability and lack of intelligent support for decision making.

[0004] (II) Technical scheme In order to achieve the above purpose, the present application provides the following technical scheme: a park energy storage equipment data management system based on source network load storage architecture, comprising a park data module, a park energy storage analysis module, a park energy storage feedback module, a park energy storage evaluation module and a park energy storage management upgrading module; The park data module is responsible for collecting park environment data, park energy storage equipment data and park energy scheduling data; The park energy storage analysis module is responsible for analyzing and calculating the data in the park data module; The park energy storage feedback module is responsible for feeding back the real-time running state of the energy storage equipment in the park, including the equipment fault state and the equipment performance state; The park energy storage evaluation module is responsible for predicting the calculation results of the park energy storage analysis module, and evaluating the real-time state data of the park energy storage feedback module; The park energy storage management upgrade module is responsible for processing the evaluation results of the park energy storage evaluation module, including optimizing scheduling strategies, formulating equipment maintenance plans, and system upgrades.

[0005] Preferably, the park data module includes an environmental data monitoring unit, an energy storage device data monitoring unit and an energy metering data unit.

[0006] Preferably, the environmental data monitoring unit collects park environmental data in real time through temperature and humidity sensors, light sensors and other monitoring equipment, including park environmental temperature and transmits data to the park energy storage analysis module through wireless communication technology.

[0007] Preferably, the energy storage device data monitoring unit is connected to the control system of the energy storage device by installing corresponding sensors and data acquisition devices inside each energy storage device to collect the operating data of the energy storage device, including the total operating time of the energy storage device. , Actual temperature of the battery of the energy storage device , charge and discharge depth of energy storage equipment and energy storage device charging and discharging current , and uses standard communication protocols to transmit data to the park energy storage analysis module.

[0008] Preferably, the energy metering data unit records the energy consumption data of the park equipment in real time, including the actual use of renewable energy in the park, by installing smart meters on each distribution cabinet, distribution box and major electrical equipment in the park. , total energy consumption of the park and the total amount of electricity purchased by the park from the grid The data is transmitted to the park energy storage analysis module via power line carrier communication.

[0009] Preferably, the park energy storage analysis module includes a park energy storage equipment life prediction unit, a park energy storage equipment management unit and a park energy scheduling optimization unit.

[0010] Preferably, the park energy storage equipment life prediction unit calculates the park energy storage equipment life according to the park environment data and the operation data of the energy storage equipment. , and its calculation formula is: ; In the formula, Indicates the life of the park's energy storage equipment. Indicates the initial life of the energy storage device under standard conditions, Indicates the park environment temperature. Indicates the actual temperature of the battery in the energy storage device. Indicates the charge and discharge depth of the energy storage device. represents the charging and discharging current of the energy storage device, 、 、 respectively represent the weighted coefficients of the device temperature, the charging and discharging depth and the charging and discharging current.

[0011] Preferably, the park energy storage device management unit calculates the energy storage device management efficiency improvement index according to the park device energy consumption data , and the calculation formula is: ; In the formula, represents the energy storage device management efficiency improvement index, represents the integration degree of the first class energy storage device data, represents the total running time of the energy storage device, represents the number of data types collected by the energy storage device, represents the total number of energy storage devices in the park.

[0012] Preferably, the park energy scheduling optimization unit calculates the park energy scheduling improvement coefficient according to the park device energy consumption data , and the calculation formula is: ; In the formula, represents the park energy scheduling improvement coefficient, represents the actual use amount of renewable energy in the park, represents the total energy consumption in the park, represents the total amount of electricity purchased from the power grid in the park, 、 respectively represent the corresponding weight coefficients of the actual use amount of renewable energy in the park and the total amount of electricity purchased from the power grid in the park in the park energy scheduling improvement coefficient.

[0013] Preferably, the park energy storage evaluation module predicts the remaining use cycle and failure risk of the device according to the park energy storage device life , predicts the management process optimization space and data integration potential according to the device management efficiency improvement index , predicts the renewable energy utilization trend and the change of power grid dependence according to the park energy scheduling improvement coefficient , and simultaneously combines the real-time state data of the device failure state and the device performance state in the park energy storage feedback module to comprehensively evaluate the park energy storage system.

[0014] Compared with the prior art, the present application provides a park energy storage device data management system based on a source network load storage architecture, which has the following beneficial effects: 1、The present application calculates the park energy storage device life , which helps to quantify the expected life of the energy storage device, thereby providing a scientific basis for adjusting the data management strategy of the park system when the life of the energy storage device in the park is high, indicating that the current park system management process and data integration are effective, and the environmental control, equipment operation parameter management and data acquisition and analysis process in the park have been optimized, so that the equipment life is guaranteed, and the system automatically connects the park network to obtain the latest technology to further technological innovation, when the life of the energy storage device in the park is low, indicating that the current park energy storage device needs to be optimized and upgraded, and the park energy storage management upgrade module reduces the influence of high temperature or low temperature on the life of the device by installing more accurate temperature sensors and perfect temperature regulating equipment to ensure that the environmental temperature and the actual temperature of the battery are always within a reasonable working range, so as to avoid irreversible damage to the battery life caused by abnormal temperature, and finally improve the equipment life and the overall benefit of the park.

[0015] 2、The energy storage device management efficiency improvement index is calculated , which helps to improve the management efficiency and realize centralized management and sharing of data, when the energy storage device management efficiency improvement index is low, it is judged that the current data acquisition is not comprehensive, and the following specific measures are taken to improve it: optimize the data acquisition system, increase the data acquisition points and data types to ensure the comprehensiveness and accuracy of data acquisition, and further strengthen the data integration capability, improve the compatibility and integration of different types of energy storage device data by establishing unified data standards and data interfaces, and regularly maintain and upgrade the data management system to repair data loss or error problems and improve the efficiency of data processing, improve the management efficiency of the energy storage device through the above measures, so as to realize the efficient management and optimal utilization of park energy data, and provide strong support for park energy dispatching and decision-making.

[0016] 3、The park energy dispatching improvement coefficient is calculated , so that the data management system is closely integrated with the park energy dispatching and operation management, and the intelligent decision support is improved, when the park energy dispatching improvement coefficient is low, indicating that the utilization rate of renewable energy in the current energy dispatching is low and the dependence on the power grid is high, the following specific measures need to be taken: optimize the operation strategy of renewable energy power generation equipment, improve the power generation efficiency and actual use proportion of renewable energy, adjust the park load distribution, preferentially use renewable energy to meet the park load demand, reduce the dependence on the power grid, and finally strengthen the dispatching management of the energy storage device, utilize the energy storage system to smooth the volatility of renewable energy generation, and improve the consumption capacity of renewable energy, through the above measures, the park energy dispatching is optimized in the direction of increasing renewable energy utilization and reducing dependence on the power grid, realizing the clean and efficient operation of the park energy system. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 The system flowchart of the present application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0019] Please refer to Figure 1 , the park energy storage equipment data management system based on the source network load storage architecture includes a park data module, a park energy storage analysis module, a park energy storage feedback module, a park energy storage evaluation module and a park energy storage management upgrade module; The park data module is responsible for collecting park environmental data, park energy storage equipment data and park energy scheduling data, providing comprehensive data support for subsequent analysis; The park energy storage analysis module is responsible for analyzing and calculating the data in the park data module; The park energy storage feedback module is responsible for feeding back the real-time running state of the energy storage equipment in the park, including the equipment fault state and the equipment performance state; The park energy storage evaluation module is responsible for predicting the calculation results of the park energy storage analysis module, and evaluating the real-time state data of the park energy storage feedback module; The park energy storage management upgrade module is responsible for processing the evaluation results of the park energy storage evaluation module, including optimizing the scheduling strategy, developing the equipment maintenance plan and upgrading the system.

[0020] The park data module includes an environmental data monitoring unit, an energy storage equipment data monitoring unit and an energy metering data unit.

[0021] The environmental data monitoring unit collects real-time park environmental data through temperature and humidity sensors, light sensors and other monitoring equipment, including park environmental temperature , and transmits the data to the park energy storage analysis module through wireless communication technology.

[0022] The energy storage equipment data monitoring unit is connected to the control system of the energy storage equipment by installing corresponding sensors and data acquisition devices inside each energy storage equipment, collecting the running data of the energy storage equipment, including the total running time of the energy storage equipment , the actual temperature of the energy storage equipment battery , the charge and discharge depth of the energy storage equipment , and the charge and discharge current of the energy storage equipment And the data is transmitted to the park energy storage analysis module by using standard communication protocols.

[0023] The energy metering data unit records the park equipment energy consumption data in real time by installing smart meters on each power distribution cabinet, distribution box and main electrical equipment in the park, including the actual amount of renewable energy used in the park , the total energy consumption of the park , and the total amount of electricity purchased from the grid by the park And the data is transmitted to the park energy storage analysis module by power line carrier communication.

[0024] The park energy storage analysis module includes a park energy storage device life prediction unit, a park energy storage device management unit, and a park energy dispatching optimization unit.

[0025] The park energy storage device life prediction unit calculates the park energy storage device life according to the park environmental data and the operation data of the energy storage device The calculation formula is: ; In the formula, represents the life of the park energy storage device, represents the initial life of the energy storage device under standard conditions, represents the park environmental temperature, represents the actual temperature of the energy storage device battery, represents the depth of charge and discharge of the energy storage device, represents the charge and discharge current of the energy storage device, , , respectively represent the weighted coefficients of the device temperature, charge and discharge depth, and charge and discharge current.

[0026] The advantage is that by calculating the park energy storage device life , it helps to quantify the expected life of the energy storage device, thereby providing a scientific basis for adjusting the park system data management strategy. When the park energy storage device life is high, it means that the current park system management process and data integration are effective, and the park's internal environmental control, equipment operating parameter management, and data acquisition and analysis process have been optimized, ensuring the device life. The system will automatically connect to the park network to obtain the latest technology to further technological innovation. When the park energy storage device life Low, indicating that the current park energy storage device needs to be optimized and upgraded, the park energy storage management upgrade module reduces the impact of high temperature or low temperature on the service life of the device by installing more accurate temperature sensors and perfect temperature regulation equipment, to ensure that the environmental temperature and the actual temperature of the battery are always within a reasonable working range, to avoid irreversible damage to the battery life due to abnormal temperature, and ultimately improve the service life of the device and the overall efficiency of the park.

[0027] The park energy storage device management unit calculates the energy storage device management efficiency improvement index according to the park device energy consumption data , and the calculation formula is: ; In the formula, , the energy storage device management efficiency improvement index, , the integration degree of the th type of energy storage device data, , the total running time of the energy storage device, , the number of data types collected by the energy storage device, , the total number of energy storage devices in the park; The advantages are: by calculating the energy storage device management efficiency improvement index , it helps to improve the management efficiency and realize centralized management and sharing of data. When the energy storage device management efficiency improvement index is low, it is judged that the current data collection is not comprehensive, and the park energy storage management upgrade module will take the following specific measures to improve: optimizing the data collection system, increasing the data collection points and data types to ensure the comprehensiveness and accuracy of data collection, and strengthening the data integration capability by establishing unified data standards and data interfaces to improve the compatibility and integration degree of different types of energy storage device data, while regularly maintaining and upgrading the data management system to repair data loss or error problems and improve the efficiency of data processing. Through the above measures to improve the energy storage device management efficiency, to realize the efficient management and optimization of park energy data, and to provide strong support for park energy dispatching and decision-making.

[0028] The park energy dispatching optimization unit calculates the park energy dispatching improvement coefficient according to the park device energy consumption data , and the calculation formula is: ; In the formula, , the park energy dispatching improvement coefficient, , the actual use of renewable energy in the park, , the total energy consumption of the park, , the total amount of electricity purchased from the grid by the park, , respectively represent the actual use of renewable energy in the park and the total amount of electricity purchased from the grid in the park, and the corresponding weight coefficient in the park energy scheduling improvement coefficient; The advantages are: by calculating the park energy scheduling improvement coefficient , the data management system is closely integrated with the park energy scheduling and operation management, and intelligent decision support is improved. When the park energy scheduling improvement coefficient is low, it indicates that the utilization rate of renewable energy in the current energy scheduling is low and the dependence on the grid is high, and the following specific measures need to be taken: optimizing the operation strategy of renewable energy generation equipment, improving the power generation efficiency and actual use ratio of renewable energy, readjusting the park load distribution, preferentially using renewable energy to meet the park load demand, reducing the dependence on the grid, and finally strengthening the scheduling management of energy storage equipment, using the energy storage system to smooth the volatility of renewable energy generation, improving the consumption capacity of renewable energy, and through the above measures, the park energy scheduling is optimized in the direction of increasing renewable energy utilization and reducing grid dependence, realizing the clean and efficient operation of the park energy system.

[0029] The park energy storage feedback module will display the operating parameters of the energy storage equipment, such as the power, power and charging and discharging state, on the park central screen in real time, so that users can understand the operation of the equipment at any time, and automatically monitor the fault conditions of the energy storage equipment, such as overheating, overvoltage and short circuit, and timely alarm to notify relevant personnel for processing.

[0030] The park energy storage evaluation module predicts the remaining service life and failure risk of the park energy storage equipment , formulates a preventive maintenance plan in advance, predicts the management process optimization space and data integration potential according to the equipment management efficiency improvement index , predicts the utilization trend of renewable energy and the change of dependence on the grid according to the park energy scheduling improvement coefficient , evaluates the effectiveness and optimization direction of the energy scheduling strategy, and at the same time, combined with the real-time state data of the equipment failure state and the equipment performance state in the park energy storage feedback module, comprehensively evaluates the park energy storage system, generates a park energy storage system operation health degree report, provides decision basis for the park energy storage management upgrade module, and assists in optimizing the scheduling strategy, formulating equipment maintenance plan and promoting system upgrade.

[0031] Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A park energy storage equipment data management system based on a source-grid-load-storage architecture, characterized by: Includes park data module, park energy storage analysis module, park energy storage feedback module, park energy storage assessment module and park energy storage management upgrade module; The park data module is responsible for collecting park environment data, park energy storage equipment data and park energy scheduling data; The park energy storage analysis module is responsible for analyzing and calculating the data in the park data module; The park energy storage feedback module is responsible for feeding back the real-time operating status of the energy storage equipment in the park, including equipment failure status and equipment performance status; The park energy storage evaluation module is responsible for predicting the calculation results of the park energy storage analysis module and evaluating the real-time status data of the park energy storage feedback module; The park energy storage management upgrade module is responsible for processing the evaluation results of the park energy storage evaluation module, including optimizing scheduling strategies, formulating equipment maintenance plans, and system upgrades.

2. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 1 is characterized by: The park data module includes an environmental data monitoring unit, an energy storage device data monitoring unit and an energy metering data unit.

3. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 2 is characterized by: The environmental data monitoring unit collects park environmental data in real time through temperature and humidity sensors, light sensors and other monitoring equipment, including park environmental temperature and transmits data to the park energy storage analysis module through wireless communication technology.

4. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 2 is characterized by: The energy storage device data monitoring unit is connected to the control system of the energy storage device by installing corresponding sensors and data acquisition devices inside each energy storage device to collect the operating data of the energy storage device, including the total operating time of the energy storage device. , Actual temperature of the battery of the energy storage device , Energy storage equipment charge and discharge depth and energy storage device charging and discharging current , and uses standard communication protocols to transmit data to the park energy storage analysis module.

5. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 2 is characterized by: The energy metering data unit records the energy consumption data of the park equipment in real time, including the actual use of renewable energy in the park, by installing smart meters on each distribution cabinet, distribution box and major electrical equipment in the park. , total energy consumption of the park and the total amount of electricity purchased by the park from the grid The data is transmitted to the park energy storage analysis module via power line carrier communication.

6. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 1 is characterized by: The park energy storage analysis module includes a park energy storage equipment life prediction unit, a park energy storage equipment management unit and a park energy scheduling optimization unit.

7. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 6 is characterized by: The park energy storage equipment life prediction unit calculates the park energy storage equipment life according to the park environment data and the operation data of the energy storage equipment , and its calculation formula is: ； In the formula, Indicates the life of the park's energy storage equipment. Indicates the initial life of the energy storage device under standard conditions, Indicates the park environment temperature. Indicates the actual temperature of the battery in the energy storage device. Indicates the charge and discharge depth of the energy storage device. Indicates the charging and discharging current of the energy storage device, 、 、 They represent the weighting coefficients of device temperature, charge and discharge depth, and charge and discharge current respectively.

8. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 6 is characterized by: The park energy storage equipment management unit calculates the energy storage equipment management efficiency improvement index based on the park equipment energy consumption data , and its calculation formula is: ； In the formula, Indicates the energy storage equipment management efficiency improvement index, Indicates the The integration of energy storage device data, Indicates the total operating time of the energy storage device, Indicates the number of data types collected by the energy storage device. Indicates the total number of energy storage devices in the park.

9. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 6, characterized in that: The park energy scheduling optimization unit calculates the park energy scheduling improvement coefficient based on the park equipment energy consumption data , and its calculation formula is: ； In the formula, represents the energy dispatch improvement coefficient of the park, Indicates the actual use of renewable energy in the park, represents the total energy consumption of the park, Indicates the total amount of electricity purchased by the park from the power grid, 、 They respectively represent the weight coefficients of the actual use of renewable energy in the park and the total amount of electricity purchased by the park from the power grid in the park's energy scheduling improvement coefficient.

10. The park energy storage equipment data management system based on the source-grid-load-storage architecture according to claim 1 is characterized by: The park energy storage evaluation module is based on the life of the park energy storage equipment , predict the remaining service life of the equipment and the risk of failure, and improve the equipment management efficiency index , predict management process optimization space and data integration potential, according to the park energy scheduling improvement coefficient , predict the trend of renewable energy utilization and changes in grid dependence, and at the same time combine the real-time status data of equipment failure status and equipment performance status in the park energy storage feedback module to conduct a comprehensive evaluation of the park energy storage system.

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