Energy storage power control system
By designing an energy storage power control system with multiple modules, the problem of difficulty in power grid leveling and balance control in the existing system is solved, the stability of the power storage frequency of the power grid and the safety and stability of the energy storage system are achieved, and the power control instructions are optimized through intelligent algorithms to improve energy utilization.
Patent Information
- Application Number
- CN202411869618.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-03-18
AI Technical Summary
The existing energy storage power control system is difficult to achieve grid leveling and balance control, resulting in unstable grid energy storage frequency and difficult to predict and analyze the power control instructions, affecting the safety and stability of the system.
An energy storage power control system is designed, including a power grid module, a real-time monitoring module, an energy storage power control module, an energy storage module, a data acquisition module, a data preprocessing module, an operation status analysis module, an operation status prediction module, a control strategy module and a maintenance module. The system generates and optimizes power control instructions through intelligent algorithms and control strategy modules to ensure the stable operation of the system.
The balance control and frequency stability of the grid energy storage are realized, the safety and stability of the energy storage system are improved, and the power control instructions are optimized through intelligent algorithms to improve energy utilization.
Smart Images

Figure CN119651697A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy storage power control, and in particular to an energy storage power control system. Background Art
[0002] Energy storage power control is one of the core devices in the energy storage system. Its main function is to adjust the charging and discharging power of the energy storage system in real time according to the needs of the power grid and load to ensure the stable operation of the power grid.
[0003] At present, it is inconvenient to level and balance the power grid in the energy storage power control system, resulting in unstable power grid energy storage frequency. In addition, the power control instructions of the energy storage power control system are difficult to model predictive analysis, resulting in the energy storage converter directly performing power control after the power control instructions are issued, making it difficult to ensure safety and stability.
[0004] Therefore, in view of this, the existing structure and defects are studied and improved, and an energy storage power control system is proposed. Summary of the invention
[0005] In view of the deficiencies of the prior art, the present invention provides an energy storage power control system, which solves the problems raised in the above background technology.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a kind of energy storage power control system, including a power grid module and a real-time monitoring module, the output end of the power grid module is electrically connected to the energy storage power control module, and the output end of the energy storage power control module is electrically installed with the energy storage module, the output end of the energy storage module is electrically connected to the data acquisition module, and the output end of the data acquisition module is electrically connected to the data preprocessing module, the output end of the data preprocessing module is electrically installed with an operation status analysis module, and the output end of the operation status analysis module is electrically installed with an operation status prediction module, the output end of the operation status prediction module is electrically connected to the energy storage status prediction module, and the output end of the energy storage status prediction module is electrically connected to the scheduling module, the output end of the scheduling module is electrically connected to the energy storage module, the other output end of the scheduling module is electrically connected to the control strategy module, and the real-time monitoring module is electrically arranged at the energy storage power control module and the other output end of the energy storage module.
[0007] Furthermore, an input terminal of the energy storage power control module is electrically connected to a maintenance module, and a maintenance component for assisting in the maintenance of the energy storage power control module hardware is disposed inside the maintenance module.
[0008] Furthermore, the maintenance component includes a cleaning module and a calibration module, and the output end of the cleaning module is electrically connected to the calibration module.
[0009] Furthermore, the cleaning module and the calibration module are connected in parallel, and the maintenance module is connected in series with the energy storage power control module. The cleaning module can periodically clean and maintain the power controller hardware in the energy storage power control module to avoid affecting the stable operation of the energy storage power control module, and the calibration module is used to calibrate or update the power controller.
[0010] Furthermore, another output end of the energy storage module is electrically connected to the equipment module, and the energy storage module and the equipment module are connected in series.
[0011] Furthermore, an output end inside the data preprocessing module is electrically connected to the data storage module, and an output end of the data storage module is electrically connected to the backup module.
[0012] Furthermore, the data storage module and the backup module are connected in parallel, and the data preprocessing module and the operation status analysis module are connected in series.
[0013] Furthermore, an output end inside the control strategy module is electrically provided with a control strategy component for performing energy storage power scheme control, and the control strategy component includes a scheme formulation module, a scheme control module and a scheme storage module, the output end of the scheme formulation module is electrically connected to the scheme control module, and the output end of the scheme control module is electrically connected to the scheme storage module.
[0014] Furthermore, the control strategy module is connected in parallel with the control strategy component, and the operation status prediction module is connected in series with the control strategy module.
[0015] Furthermore, the output end of the real-time monitoring module is electrically connected to a protection component for safely protecting the energy storage power control module and the energy storage module, and the protection component includes an alarm module, an adjustment switching module and a recording module. The output end of the alarm module is electrically connected to the adjustment switching module, and the output end of the adjustment switching module is electrically connected to the recording module.
[0016] The present invention provides an energy storage power control system, which has the following beneficial effects: 1. The energy storage power control system, through the control strategy module, considers factors such as smoothing the power fluctuation of renewable energy and improving energy utilization, generates corresponding power control instructions, conducts feasibility analysis on the generated power control instructions to ensure that they meet the power and capacity constraints of the energy storage system, and uses intelligent algorithms such as model predictive control and particle swarm optimization to dynamically optimize the control instructions. The optimized control instructions are converted into standardized communication protocol data, which are sent to the internal energy storage converter through the energy storage power control module, and then converted into control signals by the control strategy module and sent to the energy storage module, where the control signals can be transmitted through the communication network.
[0017] 2. The energy storage power control system, the energy storage power controller in the energy storage power control module performs a power-on self-check to ensure that the hardware and software are normal, and establishes communication connections with the energy management system, energy storage converter, and the power grid dispatching center in the power grid module. The energy storage module is used to store electricity, and the real-time voltage, current, power parameters and other data of the power grid are monitored through sensors, transformers and current transformers in the data acquisition module, and the real-time monitoring information is sent to the energy storage power control module.
[0018] 3. The energy storage power control system stores and records the real-time monitoring data through the data storage module in the data preprocessing module, and can use the design of the backup module to perform a secondary backup of the data stored and recorded in the data storage module. Then, using the real-time data and historical data, the operation status analysis module determines whether the current power grid operation status deviates from the set rated value and determines whether energy storage support is needed. At the same time, the operation status prediction module and the energy storage status prediction module can be used to predict the operation status for a period of time in the future through load prediction, renewable energy power prediction and other algorithms. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 It is a schematic diagram of the overall process structure of an energy storage power control system of the present invention; Figure 2 A schematic diagram of the flow structure of a data preprocessing module and an operation status analysis module of an energy storage power control system of the present invention; Figure 3 A schematic diagram of the control strategy component structure of an energy storage power control system of the present invention; Figure 4 A schematic diagram of the structure of a protection component of an energy storage power control system of the present invention; Figure 5 The present invention is a schematic diagram of the structure of a maintenance component of an energy storage power control system.
[0020] In the figure: 1. Power grid module; 2. Energy storage power control module; 3. Energy storage module; 4. Data acquisition module; 5. Data preprocessing module; 6. Operation status analysis module; 7. Operation status prediction module; 8. Control strategy module; 9. Maintenance module; 10. Real-time monitoring module; 11. Equipment module; 12. Data storage module; 13. Backup module; 14. Energy storage status prediction module; 15. Scheduling module; 16. Control strategy component; 1601. Plan formulation module; 1602. Plan control module; 1603. Plan storage module; 17. Protection component; 1701. Alarm module; 1702. Adjustment and switching module; 1703. Recording module; 18. Maintenance component; 1801. Cleaning module; 1802. Calibration module. DETAILED DESCRIPTION
[0021] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0022] like Figure 1-Figure 5As shown, the present invention provides a technical solution: a storage power control system, including a power grid module 1, a storage power control module 2, a storage module 3, a data acquisition module 4, a data preprocessing module 5, an operation status analysis module 6, an operation status prediction module 7, a control strategy module 8, a maintenance module 9, a real-time monitoring module 10, an equipment module 11, a data storage module 12, a backup module 13, an energy storage status prediction module 14, a scheduling module 15, a control strategy component 16, a plan formulation module 1601, a plan control module 1602, a plan storage module 1603, a protection component 17, an alarm module 1701, an adjustment and switching module 1702, a recording module 1703, a maintenance component 18, a cleaning module 1801 and a calibration module Block 1802, the output end of the power grid module 1 is electrically connected to the energy storage power control module 2, and the output end of the energy storage power control module 2 is electrically installed with the energy storage module 3, the other output end of the energy storage module 3 is electrically connected to the equipment module 11, and the energy storage module 3 and the equipment module 11 are connected in series, the output end of the energy storage module 3 is electrically connected to the data acquisition module 4, and the output end of the data acquisition module 4 is electrically connected to the data preprocessing module 5, an output end inside the data preprocessing module 5 is electrically connected to the data storage module 12, and the output end of the data storage module 12 is electrically connected to the backup module 13, the data storage module 12 and the backup module 13 are connected in parallel, the data preprocessing module 5 is connected in series with the operation status analysis module 6, and the data preprocessing module The output end of block 5 is electrically installed with an operation status analysis module 6, and the output end of the operation status analysis module 6 is electrically installed with an operation status prediction module 7, the output end of the operation status prediction module 7 is electrically connected to the energy storage status prediction module 14, and the output end of the energy storage status prediction module 14 is electrically connected to the scheduling module 15, the output end of the scheduling module 15 is electrically connected to the energy storage module 3, and the other output end of the scheduling module 15 is electrically connected to the control strategy module 8, the real-time monitoring module 10 is electrically arranged at the energy storage power control module 2 and the other output end of the energy storage module 3, the energy storage power controller in the energy storage power control module 2 is powered on and self-checked to ensure that the hardware and software are normal, and establishes a connection with the energy management system, the energy storage converter, and the grid scheduling in the grid module 1 The energy storage module 3 is used to store electricity, and the real-time voltage, current, power parameters and other data of the power grid are monitored through the sensors, transformers and current transformers in the data acquisition module 4, and the real-time monitoring information is sent to the energy storage power control module 2, and then the real-time monitoring data is stored and recorded through the data storage module 12 in the data preprocessing module 5. At the same time, the data stored and recorded in the data storage module 12 can be backed up twice by the design of the backup module 13, and then the real-time data and historical data are used to determine whether the current power grid operation state deviates from the set rated value through the operation state analysis module 6 to determine whether energy storage support is needed, and at the same time, the operation state prediction module 7 and the energy storage state prediction module 14 are used.It is possible to predict the operation status of a period of time in the future through load prediction, renewable energy power prediction and other algorithms, and then determine the working mode of the energy storage module 3 based on the operation status analysis and prediction results. Then, through the scheduling module 15, if the grid frequency deviates from the rated value, the frequency regulation control is performed to calculate the power regulation amount that the energy storage system needs to provide. If the grid is in the peak load period, the peak shaving and valley filling control is performed to match the energy storage power curve with the load curve. Through the control strategy module 8, the corresponding power control instructions are generated by considering factors such as smoothing the power fluctuation of renewable energy and improving the energy utilization rate. The feasibility analysis of the generated power control instructions is performed to ensure that they meet the requirements of the energy storage system. The power and capacity limits of the system are controlled by intelligent algorithms such as model predictive control and particle swarm optimization, etc., to dynamically optimize the control instructions, convert the optimized control instructions into standardized communication protocol data, and send them to the internal energy storage converter through the energy storage power control module 2, and then convert the control strategy module 8 into a control signal and send it to the energy storage module 3, where the control signal can be transmitted through a communication network, such as Ethernet, RS485, etc. In addition, the energy storage device in the energy storage module 3 receives the control signal and charges, discharges or stands by according to the control strategy in the control strategy module 8. The energy storage device in the energy storage module 3 may include batteries, capacitors, fans, etc. for storing electricity.
[0023] like Figure 1 and Figure 5 As shown, an input end of the energy storage power control module 2 is electrically connected to the maintenance module 9, and the maintenance module 9 is internally provided with a maintenance component 18 for assisting in the maintenance of the hardware of the energy storage power control module 2. The maintenance component 18 includes a cleaning module 1801 and a calibration module 1802, and the output end of the cleaning module 1801 is electrically connected to the calibration module 1802. The cleaning module 1801 and the calibration module 1802 are connected in parallel, and the maintenance module 9 is connected in series with the energy storage power control module 2. The cleaning module 1801 can periodically clean and maintain the power controller hardware in the energy storage power control module 2 to avoid affecting the stable operation of the energy storage power control module 2, and the calibration module 1802 is used to calibrate or update the power controller.
[0024] like Figure 1 , Figure 2 , Figure 3 and Figure 4As shown, an output terminal of the control strategy module 8 is electrically provided with a control strategy component 16 for performing energy storage power scheme control, and the control strategy component 16 includes a scheme formulation module 1601, a scheme control module 1602 and a scheme storage module 1603. The output terminal of the scheme formulation module 1601 is electrically connected to the scheme control module 1602, and the output terminal of the scheme control module 1602 is electrically connected to the scheme storage module 1603. The control strategy module 8 is connected in parallel with the control strategy component 16, and the operation state prediction module 7 is connected in series with the control strategy module 8. By using the operation state prediction module 7 and the energy storage state prediction module 14, the operation state for a period of time in the future can be predicted through load prediction, renewable energy power prediction and other algorithms, and then based on the operation state analysis and prediction results, the control strategy module 8 can be used to derive corresponding control instructions, so that the scheme formulation module 1601 can be used to formulate an appropriate control strategy scheme, and the scheme control module 1602 is conducive to real-time adjustment of the control strategy The scheme is used to record and store the scheme corresponding to the current operation status analysis and prediction results through the scheme storage module 1603, which is conducive to retrieval when problems occur later. The output end of the real-time monitoring module 10 is electrically connected to a protection component 17 for safety protection of the energy storage power control module 2 and the energy storage module 3, and the protection component 17 includes an alarm module 1701, an adjustment switching module 1702 and a recording module 1703. The output end of the alarm module 1701 is electrically connected to the adjustment switching module 1702, and the output end of the adjustment switching module 1702 is electrically connected to the recording module 1703. By real-time monitoring of the execution of power instructions by the energy storage converter in the energy storage power control module 2, the instruction tracking deviation is calculated. If the deviation exceeds the preset threshold, the alarm module 1701 can be used for early warning processing, and the adjustment switching module 1702 is used to start the emergency control strategy, adjust the instruction or switch the operation mode, and the recording module 1703 can be used to record and store the execution process data, providing support for subsequent analysis and strategy improvement.
[0025] In summary, if Figure 1-Figure 5As shown, when the energy storage power control system is in use, the energy storage power controller in the energy storage power control module 2 performs a power-on self-check to ensure that the hardware and software are normal, and establishes communication connections with the energy management system, the energy storage converter, the power grid dispatching center in the power grid module 1, etc. The energy storage module 3 is used to store electricity, and the real-time voltage, current, power parameters and other data of the power grid are monitored through the sensors, transformers and current transformers in the data acquisition module 4, and the real-time monitoring information is sent to the energy storage power control module 2, and then the real-time monitoring data is stored and recorded through the data storage module 12 in the data preprocessing module 5. At the same time, the data stored and recorded in the data storage module 12 can be backed up twice by the design of the backup module 13, and then the real-time data is used to collect the data. According to the data and historical data, the operation status analysis module 6 is used to judge whether the current power grid operation status deviates from the set rated value, and whether energy storage support is needed. At the same time, the operation status prediction module 7 and the energy storage status prediction module 14 can be used to predict the operation status for a period of time in the future through load prediction, renewable energy power prediction and other algorithms, and then the working mode of the energy storage module 3 can be determined based on the operation status analysis and prediction results. Among them, the operation status prediction module 7 and the energy storage status prediction module 14 can be used to predict the operation status for a period of time in the future through load prediction, renewable energy power prediction and other algorithms, and then the control strategy module 8 can be used to derive corresponding control instructions based on the operation status analysis and prediction results. The program formulation module 1601 can be used to formulate an appropriate control strategy program. The program control module 1602 is conducive to real-time adjustment of the control strategy program. The program storage module 1603 is used to record and store the program corresponding to the current operating status analysis and prediction results, which is conducive to retrieval when problems arise later. Then, through the scheduling module 15, if the grid frequency deviates from the rated value, frequency regulation control is performed to calculate the power regulation amount that the energy storage system needs to provide. If the grid is in the peak load period, peak shaving and valley filling control is performed to match the energy storage power curve with the load curve. Through the control strategy module 8, factors such as smoothing the power fluctuations of renewable energy and improving energy utilization are considered to generate corresponding power control instructions. By The control instructions are feasibility analyzed to ensure that they meet the power and capacity constraints of the energy storage system. Intelligent algorithms such as model predictive control and particle swarm optimization are used to dynamically optimize the control instructions. The optimized control instructions are converted into standardized communication protocol data and sent to the internal energy storage converter through the energy storage power control module 2. The control strategy module 8 is then converted into a control signal and sent to the energy storage module 3, where the control signal can be transmitted through a communication network, such as Ethernet, RS485, etc. In addition, the energy storage device in the energy storage module 3 receives the control signal and charges, discharges or stands by according to the control strategy in the control strategy module 8. The energy storage device in the energy storage module 3 may include batteries, capacitors, fans, etc. for storing electricity.Finally, by real-time monitoring of the execution of power instructions by the energy storage converter in the energy storage power control module 2, the instruction tracking deviation is calculated. If the deviation exceeds the preset threshold, the alarm module 1701 can be used for early warning processing, and the adjustment switching module 1702 is used to start the emergency control strategy, adjust the instruction or switch the operation mode, and the recording module 1703 can be used to record and store the execution process data to provide support for subsequent analysis and strategy improvement. Secondly, the cleaning module 1801 can periodically clean and maintain the power controller hardware in the energy storage power control module 2 to avoid affecting the stable operation of the energy storage power control module 2, and the calibration module 1802 is used to calibrate or update the power controller. ,
[0026] The embodiments of the present invention are given for the purpose of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.
Claims
1. An energy storage power control system, comprising a power grid module (1) and a real-time monitoring module (10), characterized in that: The output end of the power grid module (1) is electrically connected to an energy storage power control module (2), and the output end of the energy storage power control module (2) is electrically installed with an energy storage module (3), the output end of the energy storage module (3) is electrically connected to a data acquisition module (4), and the output end of the data acquisition module (4) is electrically connected to a data preprocessing module (5), the output end of the data preprocessing module (5) is electrically installed with an operation status analysis module (6), and the output end of the operation status analysis module (6) is electrically installed with an operation status prediction module (7), the output end of the operation status prediction module (7) is electrically connected to an energy storage status prediction module (14), and the output end of the energy storage status prediction module (14) is electrically connected to a scheduling module ( 15), the output end of the dispatching module (15) is electrically connected to the energy storage module (3), the other output end of the dispatching module (15) is electrically connected to the control strategy module (8), the real-time monitoring module (10) is electrically arranged at the energy storage power control module (2) and the other output end of the energy storage module (3), the energy storage power controller in the energy storage power control module (2) performs a power-on self-check to ensure that the hardware and software are normal, and establishes a communication connection with the energy management system, the energy storage converter, the power grid dispatching center in the power grid module (1), etc., the energy storage module (3) is used to store electricity, and the real-time voltage, current, power parameter and other data of the power grid are monitored through the sensors, transformers and current transformers in the data acquisition module (4), and the real-time The monitoring information is sent to the energy storage power control module (2), and then the real-time monitoring data is stored and recorded by the data storage module (12) in the data preprocessing module (5). At the same time, the data stored and recorded in the data storage module (12) can be backed up again by using the design of the backup module (13). Subsequently, the real-time data and historical data are used to determine whether the current power grid operation state deviates from the set rated value through the operation state analysis module (6), and determine whether energy storage support is required. At the same time, the operation state prediction module (7) and the energy storage state prediction module (14) can be used to predict the operation state for a period of time in the future through load prediction, renewable energy power prediction and other algorithms, and then based on the operation state analysis and prediction results, , determine the working mode of the energy storage module (3), and then through the scheduling module (15), if the grid frequency deviates from the rated value, perform frequency modulation control, calculate the power regulation amount that the energy storage system needs to provide, and if the grid is in the peak load period, perform peak shaving and valley filling control to match the energy storage power curve with the load curve. Through the control strategy module (8), consider factors such as smoothing the power fluctuation of renewable energy and improving energy utilization, and generate corresponding power control instructions. Through the feasibility analysis of the generated power control instructions, ensure that they meet the power and capacity constraints of the energy storage system, use intelligent algorithms such as model predictive control and particle swarm optimization to dynamically optimize the control instructions, and convert the optimized control instructions into standardized communication protocol data.The energy storage power control module (2) is sent to the internal energy storage converter, and then the control strategy module (8) is converted into a control signal and sent to the energy storage module (3), wherein the control signal can be transmitted through a communication network, such as Ethernet, RS485, etc. In addition, the energy storage device in the energy storage module (3) receives the control signal and performs charging, discharging or standby according to the control strategy in the control strategy module (8). The energy storage device in the energy storage module (3) can include batteries, capacitors, fans, etc. for storing electricity. In addition, by real-time monitoring of the execution of power instructions by the energy storage converter in the energy storage power control module (2), the instruction tracking deviation is calculated. If the deviation exceeds a preset threshold, the alarm module (1701) can be used for early warning processing, and the adjustment switching module (1702) is used to start the emergency control strategy, adjust the instruction or switch the operation mode, and the recording module (1703) can be used to record and store the execution process data to provide support for subsequent analysis and strategy improvement.
2. The energy storage power control system according to claim 1, characterized in that: An input end of the energy storage power control module (2) is electrically connected to a maintenance module (9), and a maintenance component (18) for assisting in the maintenance of the hardware of the energy storage power control module (2) is provided inside the maintenance module (9).
3. The energy storage power control system according to claim 2, characterized in that: The maintenance component (18) comprises a cleaning module (1801) and a calibration module (1802), and the output end of the cleaning module (1801) is electrically connected to the calibration module (1802).
4. The energy storage power control system according to claim 3, characterized in that: The cleaning module (1801) and the calibration module (1802) are connected in parallel, and the maintenance module (9) and the energy storage power control module (2) are connected in series.
5. The energy storage power control system according to claim 1, characterized in that: The other output end of the energy storage module (3) is electrically connected to the device module (11), and the energy storage module (3) and the device module (11) are connected in series.
6. The energy storage power control system according to claim 1, characterized in that: An output end inside the data preprocessing module (5) is electrically connected to the data storage module (12), and an output end of the data storage module (12) is electrically connected to the backup module (13).
7. The energy storage power control system according to claim 6, characterized in that: The data storage module (12) and the backup module (13) are connected in parallel, and the data preprocessing module (5) and the operation status analysis module (6) are connected in series.
8. The energy storage power control system according to claim 1, characterized in that: An output end inside the control strategy module (8) is electrically provided with a control strategy component (16) for performing energy storage power scheme control, and the control strategy component (16) includes a scheme formulation module (1601), a scheme control module (1602) and a scheme storage module (1603), the output end of the scheme formulation module (1601) is electrically connected to the scheme control module (1602), and the output end of the scheme control module (1602) is electrically connected to the scheme storage module (1603).
9. The energy storage power control system according to claim 8, characterized in that: The control strategy module (8) is connected in parallel with the control strategy component (16), and the operation state prediction module (7) is connected in series with the control strategy module (8).
10. The energy storage power control system according to claim 1, characterized in that: The output end of the real-time monitoring module (10) is electrically connected to a protection component (17) for providing safety protection to the energy storage power control module (2) and the energy storage module (3), and the protection component (17) comprises an alarm module (1701), an adjustment switching module (1702) and a recording module (1703); the output end of the alarm module (1701) is electrically connected to the adjustment switching module (1702), and the output end of the adjustment switching module (1702) is electrically connected to the recording module (1703).