A distributed energy storage optimization configuration system

Abstract

The application provides a distributed energy storage optimal configuration system, and belongs to the technical field of distributed energy storage.The distributed energy storage optimal configuration system comprises an energy storage equipment supervision module, a fault monitoring and diagnosis module, a safety risk assessment module, an energy storage configuration optimization module and an energy load management module; the energy storage equipment supervision module is used for data collection and real-time monitoring management; the fault monitoring and diagnosis module receives collected data, and monitors the running state of the distributed energy storage equipment in real time; the safety risk assessment module receives collected data, and assesses the uncertainty and potential risk in the running of the distributed energy storage equipment; the energy storage configuration optimization module receives collected data, and adjusts the running strategy; and the energy load management module analyzes user usage habits, and provides usage suggestions and services.The distributed energy storage optimal configuration system collects the data of the distributed energy storage equipment, analyzes the data, and formulates a targeted optimization strategy.

Description

Technical Field

[0001] This invention belongs to the field of distributed energy storage technology, and specifically relates to a distributed energy storage optimization configuration system. Background Technology

[0002] Driven by the "dual carbon" goals and the construction of new power systems, the new energy industry has achieved rapid development. Among them, distributed energy storage systems have been widely adopted in distribution networks due to their advantages such as flexible deployment and clear returns, prompting the traditional distribution network to accelerate its transformation into an active distribution network.

[0003] Distributed energy storage systems are an integrated energy supply method that combines energy production and consumption, deployed on the user side. They can provide users with multiple energy sources, including cooling, heating, and electricity, and are characterized by on-site utilization, clean and low-carbon operation, multi-functionality, flexibility, and high efficiency. In recent years, new energy photovoltaic power generation projects and wind power generation projects have grown rapidly. Distributed energy storage systems can flexibly store and release electrical energy, improve the absorption rate of renewable energy, increase grid reserve capacity, improve the power supply quality of the power grid, enhance system stability, and increase the economic efficiency of the distribution network. Rational planning and construction of distributed energy storage systems can reduce reserve capacity requirements and save construction costs.

[0004] When optimizing the configuration of distributed energy storage devices, it is impossible to formulate targeted optimization strategies based on the actual operating status information of the distributed energy storage devices. The optimization strategies cannot be accurately applied to the optimization needs of the distributed energy storage devices. In addition, the diversity of operating status information of distributed energy storage devices leads to incomplete acquisition of operating status information, making it impossible to formulate optimization strategies based on the diverse status information of distributed energy storage devices. The formulated optimization strategies cannot meet the needs of efficient operation of distributed energy storage devices. Summary of the Invention

[0005] The purpose of this invention is to provide a distributed energy storage optimization configuration system, which aims to solve the problem that when energy storage devices are optimized, the optimization strategy cannot be accurately applied to the optimization needs of the energy storage devices.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is: to provide a distributed energy storage optimization configuration system, including: an energy storage device monitoring module, used for data acquisition and real-time monitoring and management of distributed energy storage devices; The fault monitoring and diagnosis module receives data collected by the energy storage equipment monitoring module and monitors the operating status of the distributed energy storage equipment in real time through monitoring sensors installed on the distributed energy storage equipment. The safety risk assessment module receives data collected by the energy storage equipment monitoring module and assesses the uncertainties and potential risks in the operation of distributed energy storage equipment. The energy storage configuration optimization module receives data collected by the fault monitoring and diagnosis module and the energy storage configuration optimization module, and dynamically adjusts the operating strategy of the distributed energy storage equipment; and The energy load management module analyzes user habits based on data from the energy storage configuration optimization module and provides usage suggestions and services.

[0007] In one possible implementation, the energy storage device monitoring module includes: The data acquisition unit collects data on the hardware, capacity, and location of distributed energy storage devices to provide data support for subsequent optimization and configuration. The equipment information management unit collects and records data information from distributed energy storage devices, and performs regional positioning and marking of the location information of distributed energy storage devices; and The maintenance reminder unit sets the maintenance time for the distributed energy storage devices based on their usage time and data information.

[0008] In one possible implementation, the fault monitoring and diagnosis module includes: The real-time data monitoring unit includes monitoring sensors distributed and installed on each distributed energy storage device to monitor and collect the operating status data and power information of the distributed energy storage device; The data analysis and processing unit receives data from the real-time data monitoring unit, processes it, and identifies abnormal and fault information in the data from the real-time data monitoring unit; and The fault emergency handling unit receives abnormal and fault information monitored by the data analysis and processing unit, sends processing instructions, and isolates the faulty distributed energy storage device.

[0009] In one possible implementation, the operational status data includes the number of charge-discharge cycles of the distributed energy storage device's batteries, voltage information, current information, and equipment operating environment information.

[0010] In one possible implementation, the security risk assessment module includes: The operational stability assessment unit evaluates the operational stability of distributed energy storage devices under different operating modes. The load adaptability analysis and evaluation unit assesses the adaptability of distributed energy storage devices under varying load demands; and Using an economic evaluation unit, we analyze the energy storage costs and benefits of distributed energy storage devices, and evaluate the operating costs and economic benefits of distributed energy storage devices under different operating strategies.

[0011] In one possible implementation, the energy storage configuration optimization module acquires data from the energy storage equipment monitoring module and the fault monitoring and diagnosis module, analyzes and processes the data, and then performs multi-source data fusion processing to form a dataset.

[0012] In one possible implementation, the energy storage configuration optimization module combines the dataset with the operating status information of the distributed energy storage devices to generate an energy storage optimization configuration scheme and implement the optimized configuration of the distributed energy storage devices.

[0013] In one possible implementation, the energy storage configuration optimization module includes: The load optimization and adjustment unit prioritizes the discharge of distributed energy storage devices under high load, thereby reducing the load pressure on the power grid. The charge / discharge optimization management unit manages the charge and discharge of distributed energy storage devices and adjusts their charge and discharge strategies. The equipment coordination and optimization management unit coordinates the charging and discharging strategies among different distributed energy storage devices.

[0014] In one possible implementation, the energy load management module includes: The energy consumption analysis unit collects users' energy usage data and identifies users' energy usage habits. The energy management unit generates energy-saving and emission-reduction plans based on user habits; and The control unit is designed to allow users to remotely control the distributed energy storage devices they use.

[0015] In one possible implementation, the energy load management module also includes a cost forecasting unit, which analyzes users' energy usage habits to predict future expenses.

[0016] The beneficial effects of the distributed energy storage optimization configuration system provided by this invention are as follows: Compared with existing technologies, the energy storage device monitoring module collects hardware and operational data related to distributed energy storage devices, providing basic data support for subsequent fault monitoring and diagnosis modules, safety risk assessment modules, energy storage configuration optimization modules, and energy load management modules. After the data from distributed energy storage devices is integrated, standardized data output is formed, ensuring that the decisions of subsequent fault monitoring, risk assessment, configuration optimization, and other modules are based on complete and accurate basic data, thereby improving the overall decision-making accuracy of the system from the source and increasing the response speed of strategy optimization and adjustment.

[0017] The fault monitoring and diagnosis module comprehensively collects the operating status data and power information of the distributed energy storage device through monitoring sensors installed in various parts of the device. By processing and calculating the received data, it identifies abnormal and fault information. Abnormal states of the distributed energy storage device trigger an alarm mechanism, which facilitates the discovery and location of faulty distributed energy storage devices. The module also sends disconnection command information to the control terminal of the distributed energy storage device to control the isolation and disconnection of the faulty device, thus realizing the response and handling of the faulty device.

[0018] The safety risk assessment module analyzes and evaluates the operational risks of distributed energy storage devices, assesses the uncertainties and potential risks of distributed energy storage devices, evaluates the operational stability of distributed energy storage devices under different operating modes, evaluates the adaptability of distributed energy storage devices in the face of changing load demands, and determines the performance of distributed energy storage devices in various application scenarios.

[0019] The energy storage configuration optimization module acquires data from distributed energy storage devices. It then performs multi-source data fusion processing on this data, summarizing it into a comprehensive dataset. This dataset facilitates the generation of energy storage optimization configuration adjustment strategies and the control of distributed energy storage devices. Based on these strategies, the module optimizes and adjusts the distributed energy storage devices, dynamically adjusting their operating strategies according to real-time operational data. This ensures the distributed energy storage devices remain in optimal operating condition, prioritizing discharge during high loads to reduce grid pressure. By dynamically adjusting the charging and discharging strategies of the distributed energy storage devices, the module balances their utilization rate, coordinates the charging and discharging strategies of different devices, and improves the overall operating efficiency of the distributed energy storage system.

[0020] The energy load management module coordinates the energy and consumption direction of each distributed energy storage device to ensure a balance between energy storage and consumption. It collects users' energy usage data in real time, identifies users' energy usage habits, and generates corresponding energy-saving and emission-reduction plans based on these habits, making it easier for users to use energy and reduce energy consumption. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart illustrating the distributed energy storage optimization configuration system provided in an embodiment of the present invention. Detailed Implementation

[0023] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.

[0024] Please refer to Figure 1The present invention provides a specific implementation of a distributed energy storage optimization configuration system, which includes an energy storage device monitoring module, a fault monitoring and diagnosis module, a safety risk assessment module, an energy storage configuration optimization module, and an energy load management module. Through the collaborative work of multiple modules, it can better adapt to the ever-changing environment and energy demand, provide an economical and efficient energy storage optimization configuration scheme, and efficiently optimize the configuration of distributed energy storage devices.

[0025] The energy storage equipment monitoring module, as a data foundation support unit, undertakes the functions of data acquisition and real-time monitoring management of distributed energy storage equipment, providing comprehensive and accurate raw data for the operation of all subsequent modules. The fault monitoring and diagnosis module receives data collected by the energy storage equipment monitoring module and uses sensors to achieve real-time control of the operating status of distributed energy storage equipment, promptly detecting equipment anomalies. The safety risk assessment module, also based on collected data, analyzes the uncertainties and potential risks in the operation of distributed energy storage equipment, providing risk dimension references for the formulation of optimization strategies. The energy storage configuration optimization module, as the core decision-making unit, integrates the multi-data received by the energy storage equipment monitoring module, the fault monitoring and diagnosis module, and itself, dynamically adjusting equipment operation strategies and optimizing configuration targets. The energy load management module analyzes user habits based on the optimized data, realizing the extension from equipment optimization to user service.

[0026] The energy storage device monitoring module is used for data acquisition and real-time monitoring and management of distributed energy storage devices.

[0027] The energy storage equipment monitoring module includes a data acquisition unit, an equipment information management unit, and a maintenance reminder unit.

[0028] The data acquisition unit collects data on the hardware, capacity, and location of distributed energy storage devices, providing data support for subsequent optimization and configuration.

[0029] The data collected by the data acquisition unit can include data information from all distributed energy storage devices. Specifically, the collected data includes the model, capacity, and installation location information of the distributed energy storage devices. The data collected by the data acquisition unit includes basic dimensions such as the attributes of the distributed energy storage devices themselves and the installation environment. The data is analyzed to provide reliable data support for subsequent optimization and configuration.

[0030] The equipment information management unit collects and records data information from distributed energy storage devices. Based on the collected data such as the model, capacity, and installation location of the distributed energy storage devices, it performs regional positioning and marking on the location information of the distributed energy storage devices. This achieves standardized management of distributed energy storage device information and spatial dimension control, facilitates efficient retrieval and access to distributed energy storage device information, and enables rapid and accurate location of target devices. It provides efficient support for collaborative decision-making of the energy storage configuration optimization module and improves the response speed of optimization configuration.

[0031] The maintenance reminder unit sets maintenance times for distributed energy storage devices based on their usage duration, status, and current data. It then pushes maintenance plans to users, facilitating timely maintenance, improving maintenance efficiency, preventing device failures, extending device lifespan, ensuring optimal operation, preventing performance degradation that could invalidate optimization strategies, and minimizing interference from device failures. From a full lifecycle management perspective, this ensures the continuity and stability of optimization, ultimately improving the accuracy and efficiency of distributed energy storage device optimization.

[0032] The energy storage device monitoring module collects hardware and operational data related to distributed energy storage devices, providing basic data support for subsequent fault monitoring and diagnosis, safety risk assessment, energy storage configuration optimization, and energy load management modules. After data integration from distributed energy storage devices, standardized data output is formed, ensuring that decisions in subsequent fault monitoring, risk assessment, and configuration optimization modules are based on complete and accurate basic data. This improves the overall decision-making accuracy of the system from the source, increases the response speed of strategy optimization and adjustment, and prevents the escalation of faults.

[0033] The fault monitoring and diagnosis module uploads monitoring data of the operating status of distributed energy storage devices through IoT technology, receives data collected by the distributed energy storage device supervision module, and monitors the operating status of distributed energy storage devices in real time through monitoring sensors installed on the distributed energy storage devices. When an abnormality is detected in the distributed energy storage device, an alarm mechanism is triggered to notify users or maintenance personnel so as to promptly discover and locate the faulty distributed energy storage device, forming a closed loop of "monitoring-analysis-handling" fault handling.

[0034] The fault monitoring and diagnosis module includes a real-time data monitoring unit, a data analysis and processing unit, and a fault emergency handling unit.

[0035] The real-time data monitoring unit includes monitoring sensors distributed and installed on each distributed energy storage device. Through the sensors, various status data and power information of the device are monitored and collected in real time, and this data is continuously transmitted to the data analysis and processing unit in real time.

[0036] Monitoring sensors can be installed on key parts of each distributed energy storage device.

[0037] The real-time data monitoring unit can comprehensively capture subtle changes in equipment operation, providing data support for early fault detection, avoiding equipment performance degradation due to undetected faults, and ensuring that optimization configuration strategies can be adjusted based on the normal operating status of the equipment.

[0038] The operational status data of distributed energy storage devices includes the number of charge-discharge cycles of the batteries, battery voltage information, battery current information, and equipment operating environment information. The equipment operating environment information includes external environmental information such as ambient temperature, humidity, and light intensity during the operation of the distributed energy storage device.

[0039] The equipment power information includes the energy storage capacity of the distributed energy storage device, the charging and discharging efficiency, the battery health status, active load information, and reactive load information.

[0040] The operational status data of distributed energy storage devices provides the data analysis and processing unit with the basic basis for judging the degree of device aging. Combined with the real-time changes in voltage and current information, it is possible to accurately distinguish whether the performance degradation is caused by device aging or anomalies caused by instantaneous power fluctuations. Meanwhile, the device operating environment information provides external support for the analysis of anomalies and faults. For example, when voltage information is abnormal, combined with ambient temperature data, it can be determined whether the circuit protection is triggered by high temperature or the internal circuit of the device is faulty, thereby achieving accurate location of anomalies and faults.

[0041] The operational status data collected by the monitoring sensors is transmitted via the Internet of Things (IoT).

[0042] The data analysis and processing unit receives data information from the real-time data monitoring unit, performs filtering, analysis, and comparison, compares it with the preset normal operating parameter range, identifies abnormal and fault information in the data information of the real-time data monitoring unit, and quickly feeds back these identification results to the fault emergency handling unit.

[0043] The data analysis and processing unit processes data information based on statistical models and machine learning model algorithms to identify abnormal and fault information in the data information of the real-time data monitoring unit.

[0044] The data analysis and processing unit can accurately identify and quickly locate anomalies and faults from massive amounts of data, avoiding the subjectivity and inefficiency of manual analysis, improving the accuracy and timeliness of fault judgment, and providing a reliable fault status reference for the dynamic adjustment of optimization configuration strategies. This enables the optimization configuration to be adjusted in a timely manner according to the equipment fault situation, avoiding the execution of unreasonable optimization strategies under fault conditions.

[0045] The fault emergency handling unit receives abnormal and fault information monitored by the data analysis and processing unit, immediately activates the emergency response mechanism, sends processing instructions, and isolates the faulty distributed energy storage device.

[0046] After the data analysis and processing unit identifies abnormal and fault information, the fault emergency handling unit sends a disconnect command to the control terminal of the distributed energy storage device. This disconnects the faulty distributed energy storage device, preventing it from continuing to operate and isolating it. This isolates the faulty device, preventing further damage and effectively curbing its spread. It also reduces the impact of the fault on the entire distributed energy storage system, ensuring the normal operation of other devices and preventing excessive interference with the overall optimization configuration. Furthermore, it buys time for the repair of the faulty device, shortens downtime, and ensures the overall operating efficiency of the distributed energy storage system, providing a stable system environment for the continued advancement of optimization configuration.

[0047] The fault monitoring and diagnosis module comprehensively collects the operating status data and power information of the distributed energy storage device through monitoring sensors installed in various parts of the device. By processing and calculating the received data, it identifies abnormal and fault information. Abnormal states of the distributed energy storage device trigger an alarm mechanism, which facilitates the discovery and location of faulty distributed energy storage devices. The module also sends disconnection command information to the control terminal of the distributed energy storage device to control the isolation and disconnection of the faulty device, thus realizing the response and handling of the faulty device.

[0048] The safety risk assessment module receives data collected by the energy storage equipment monitoring module. Based on the data collected by the energy storage equipment monitoring module, it conducts effective risk analysis to assess the uncertainties and potential risks in the operation of distributed energy storage equipment.

[0049] The safety risk assessment module includes an operational stability assessment unit, a load adaptability analysis assessment unit, and a usage economy assessment unit.

[0050] The operational stability assessment unit evaluates the operational stability of distributed energy storage devices under different operating modes, ensuring that distributed energy storage devices can maintain stable operation under various extreme conditions. It analyzes the stable performance of the devices under different operating conditions such as start-up, shutdown, and charge-discharge switching, which facilitates the assessment of basic operational risks of the devices.

[0051] The load adaptability analysis and evaluation unit assesses the adaptability of distributed energy storage devices under varying load demands. This can include weather changes, seasonal load fluctuations, and sudden events in the environment where the distributed energy storage devices are located. It analyzes the performance of distributed energy storage devices in various application scenarios, determines whether the devices can operate normally under complex load scenarios such as load peaks and sudden load changes, and assesses the risks of the devices in responding to changes in the external environment.

[0052] Using an economic evaluation unit, we analyze the energy storage costs and benefits of distributed energy storage devices, analyze the relationship between energy storage costs and benefits, and evaluate the operating costs and economic benefits of distributed energy storage devices under different operating strategies in order to determine a more economical optimization scheme.

[0053] The safety risk assessment module analyzes and evaluates the operational risks of distributed energy storage devices, assesses the uncertainties and potential risks of distributed energy storage devices, evaluates the operational stability of distributed energy storage devices under different operating modes, evaluates the adaptability of distributed energy storage devices in the face of changing load demands, and determines the performance of distributed energy storage devices in various application scenarios.

[0054] The energy storage configuration optimization module receives data collected from the fault monitoring and diagnosis module and the energy storage configuration optimization module, optimizes the operation strategy of the distributed energy storage equipment, and dynamically adjusts the operation strategy of the distributed energy storage equipment to achieve efficient energy utilization.

[0055] The energy storage configuration optimization module acquires data from the data acquisition unit and the real-time data monitoring unit. It collects basic data such as equipment hardware, capacity, location, and maintenance records provided by the energy storage equipment monitoring module, as well as dynamic data such as operating status data, abnormal fault information, and emergency handling records provided by the fault monitoring and diagnosis module. The module analyzes and processes the data, and performs multi-source data fusion processing on data from different sources to form a dataset, providing structured and high-quality data support for the generation of subsequent optimization configuration schemes.

[0056] The energy storage configuration optimization module uses machine learning and deep learning technologies to combine the operating environment information and operating status information of distributed energy storage devices stored in the dataset. It performs deep fusion analysis of static datasets and dynamic operating status information to generate energy storage optimization configuration schemes and adjustment strategies, resulting in optimized configurations that adapt to the current device status and operating requirements.

[0057] The generated energy storage optimization configuration scheme and adjustment strategy are transmitted to the local control center. The control center converts the corresponding adjustment strategy into control commands and sends the control commands to the distributed energy storage system. Based on the adjustment strategy, the distributed energy storage equipment is optimized and adjusted.

[0058] When optimizing and adjusting distributed energy storage devices, the energy storage configuration optimization module can dynamically adjust the operating strategy of distributed energy storage devices based on the real-time operating data of the distributed energy storage devices monitored by the real-time data monitoring unit, so as to keep the distributed energy storage system in the best operating state.

[0059] The energy storage configuration optimization module includes a load optimization and adjustment unit, a charge and discharge optimization management unit, and an equipment coordination optimization management unit.

[0060] The load optimization and adjustment unit prioritizes the discharge of distributed energy storage devices under high load, reducing the load pressure on the power grid. It alleviates the peak load pressure on the power grid through load transfer and avoids equipment performance degradation caused by long-term high load operation.

[0061] The charge and discharge optimization management unit manages the charge and discharge of distributed energy storage devices, dynamically adjusts the charge and discharge strategies of distributed energy storage devices, balances the utilization rate of each distributed energy storage device, and optimizes the charge and discharge efficiency and battery life.

[0062] The equipment coordination and optimization management unit coordinates the charging and discharging strategies among different distributed energy storage devices, improves the overall operating efficiency of distributed energy storage devices, avoids operational conflicts and resource waste between devices, and maximizes the overall efficiency of the entire distributed energy storage system.

[0063] The energy storage configuration optimization module acquires data from distributed energy storage devices. It then performs multi-source data fusion processing on this data, summarizing it into a comprehensive dataset. This dataset facilitates the generation of energy storage optimization configuration adjustment strategies and the control of distributed energy storage devices. Based on these strategies, the module optimizes and adjusts the distributed energy storage devices, dynamically adjusting their operating strategies according to real-time operational data. This ensures the distributed energy storage devices remain in optimal operating condition, prioritizing discharge during high loads to reduce grid pressure. By dynamically adjusting the charging and discharging strategies of the distributed energy storage devices, the module balances their utilization rate, coordinates the charging and discharging strategies of different devices, and improves the overall operating efficiency of the distributed energy storage system.

[0064] The energy load management module, based on data from the energy storage configuration optimization module, analyzes user habits, provides usage suggestions and services, coordinates the energy and consumption direction of distributed energy storage devices, ensures a balance between energy storage and consumption, and helps users save on electricity costs.

[0065] The energy load management module includes an energy consumption analysis unit, an energy management unit, a cost prediction unit, and an implementation control unit.

[0066] The energy consumption analysis unit connects to the user's energy monitoring equipment, collects the user's energy usage data in real time, and identifies the user's energy usage habits and energy-saving potential.

[0067] The energy management unit generates energy-saving and emission-reduction plans based on users' usage habits, guiding users in energy use and reducing energy consumption.

[0068] The implementation of the control unit is suitable for users to remotely control the distributed energy storage devices they use. Through optimization, users can remotely control the distributed energy storage devices in use, flexibly adjust the operating status of the energy-using equipment, and improve energy efficiency.

[0069] The cost prediction unit analyzes users' energy usage patterns and habits to predict future expenses and provides optimization solutions to help users reduce energy costs.

[0070] The energy load management module coordinates the energy and consumption direction of each distributed energy storage device to ensure a balance between energy storage and consumption. It collects users' energy usage data in real time, identifies users' energy usage habits, and generates corresponding energy-saving and emission-reduction plans based on these habits. This facilitates users' energy use, achieves precise matching between equipment optimization and user energy consumption, and reduces energy consumption.

[0071] The energy load management module transforms equipment optimization strategies into specific, actionable suggestions for users, enhancing the practicality and feasibility of optimized configurations, guiding users to use energy scientifically, and further improving energy efficiency. The remote control function of the control unit gives users greater autonomy, enabling them to flexibly adjust equipment operation according to their actual situation, avoiding rigid constraints of optimization schemes, improving user experience, and ensuring that optimized configuration schemes can be effectively implemented on the user side.

[0072] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A distributed energy storage optimized configuration system, characterized in that, include: The energy storage device monitoring module is used for data acquisition and real-time monitoring and management of distributed energy storage devices; The fault monitoring and diagnosis module receives data collected by the energy storage equipment monitoring module and monitors the operating status of the distributed energy storage equipment in real time through monitoring sensors installed on the distributed energy storage equipment. The safety risk assessment module receives data collected by the energy storage equipment monitoring module and assesses the uncertainties and potential risks in the operation of distributed energy storage equipment. The energy storage configuration optimization module receives data collected by the fault monitoring and diagnosis module and the energy storage configuration optimization module, and dynamically adjusts the operation strategy of the distributed energy storage equipment. as well as The energy load management module analyzes user habits based on data from the energy storage configuration optimization module and provides usage suggestions and services.

2. The distributed energy storage optimized configuration system as described in claim 1, characterized in that, The energy storage device monitoring module includes: The data acquisition unit collects data on the hardware, capacity, and location of distributed energy storage devices to provide data support for subsequent optimization and configuration. The equipment information management unit collects and records data information from distributed energy storage devices, and performs regional positioning and marking of the location information of distributed energy storage devices; and The maintenance reminder unit sets the maintenance time for the distributed energy storage devices based on their usage time and data information.

3. The distributed energy storage optimized configuration system as described in claim 1, characterized in that, The fault monitoring and diagnosis module includes: The real-time data monitoring unit includes monitoring sensors distributed and installed on each distributed energy storage device to monitor and collect the operating status data and power information of the distributed energy storage device; The data analysis and processing unit receives data from the real-time data monitoring unit, processes it, and identifies abnormal and fault information in the data from the real-time data monitoring unit; and The fault emergency handling unit receives abnormal and fault information monitored by the data analysis and processing unit, sends processing instructions, and isolates the faulty distributed energy storage device.

4. A distributed energy storage optimization configuration system as described in claim 3, characterized in that, Operational status data includes the number of charge / discharge cycles, voltage information, current information, and operating environment information of the distributed energy storage device's batteries.

5. A distributed energy storage optimization configuration system as described in claim 1, characterized in that, The security risk assessment module includes: The operational stability assessment unit evaluates the operational stability of distributed energy storage devices under different operating modes. The load adaptability analysis and evaluation unit assesses the adaptability of distributed energy storage devices under varying load demands; and Using an economic evaluation unit, we analyze the energy storage costs and benefits of distributed energy storage devices, and evaluate the operating costs and economic benefits of distributed energy storage devices under different operating strategies.

6. A distributed energy storage optimization configuration system as described in claim 1, characterized in that, The energy storage configuration optimization module acquires data from the energy storage equipment monitoring module and the fault monitoring and diagnosis module. After analysis and processing, the acquired data is fused from multiple sources to form a dataset.

7. A distributed energy storage optimized configuration system as described in claim 6, characterized in that, The energy storage configuration optimization module combines the dataset with the operating status information of distributed energy storage devices to generate an energy storage optimization configuration scheme and implement the optimized configuration of distributed energy storage devices.

8. A distributed energy storage optimization configuration system as described in claim 1, characterized in that, The energy storage configuration optimization module includes: The load optimization and adjustment unit prioritizes the discharge of distributed energy storage devices under high load, thereby reducing the load pressure on the power grid. The charge / discharge optimization management unit manages the charge and discharge of distributed energy storage devices and adjusts their charge and discharge strategies. The equipment coordination and optimization management unit coordinates the charging and discharging strategies among different distributed energy storage devices.

9. A distributed energy storage optimization configuration system as described in claim 1, characterized in that, The energy load management module includes: The energy consumption analysis unit collects users' energy usage data and identifies users' energy usage habits. The energy management unit generates energy-saving and emission-reduction plans based on user habits; and The control unit is designed to allow users to remotely control the distributed energy storage devices they use.

10. A distributed energy storage optimization configuration system as described in claim 1, characterized in that, The energy load management module also includes a cost forecasting unit, which analyzes users' energy usage habits to predict future expenses.

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