A multi-site complementary energy storage dispatching system

Abstract

The present invention relates to the field of energy storage scheduling technology, and in particular, to an energy storage scheduling system for multi-site complementarity. It includes a prediction calculation unit, a steady state unit, a prediction judgment unit, and a site complementarity unit. The load state module of the present invention obtains a steady grid load from the load steady stage, calculates the grid target load electrical state and the grid dispatching parameters based on the monitored internal status data of the multi-site energy storage devices, and utilizes the near-point energy storage device to dispatch the grid according to the grid dispatching parameters, so that the grid is dispatched to the target load state in advance when the grid reaches the peak at time t. By accurately calculating the grid target load electrical state, the fluctuation of the grid load can be better absorbed and released, the power fluctuation of the grid can be reduced, and the voltage and frequency of the grid can be kept stable, thereby improving the overall stability of the grid. At the same time, by considering the dispatch of the grid by the energy storage device during the steady stage of the grid, the dispatching error can be reduced, and the grid dispatching accuracy can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage scheduling, and in particular to an energy storage scheduling system for multi-site complementarity. Background Art

[0002] Multi-site complementary energy storage scheduling achieves optimal allocation of power resources and stable operation of the power grid by integrating energy storage, energy management, communications and networks, power electronics technology and smart grid technology. With the continuous advancement of technology, the power system is driven to develop in a more intelligent, efficient and sustainable direction. Since urban residents will have peak electricity consumption at different times, causing high load fluctuations in the power grid, power engineers need to maintain a balanced load state of the power grid during peak periods and perform complementary scheduling operations when the peak period arrives. When complementary scheduling operations are performed on the power grid when the peak period arrives, the load state of the power grid is unbalanced, causing the load fluctuation of the power grid to be temporarily unstable, increasing the problem of large power fluctuations in the power grid, and thus causing overall stability problems of the power grid. At the same time, when the power grid is dispatched under the condition of unbalanced load state, the dispatch calculation error is increased, resulting in a reduction in the accuracy of power grid dispatch. Therefore, we provide a multi-site complementary energy storage scheduling system. Summary of the Invention

[0003] The object of the present invention is to provide an energy storage scheduling system for multi-site complementarity to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned object, the present invention provides an energy storage scheduling system for multi-site complementarity, comprising a prediction calculation unit, a steady state unit, a prediction judgment unit and a site complementarity unit;

[0005] The prediction and calculation unit monitors the grid operation status and the internal status data of the multi-site energy storage devices in real time, calculates the grid load based on the monitored grid operation status data, predicts whether there is a peak power consumption period, calculates the load change rate, and then calculates the average value of the load change rate within the sliding window based on the load change rate;

[0006] The steady state unit is used to receive the load change rate, the average value of the load change rate, and the monitored internal status data of the multi-site energy storage devices in the prediction calculation unit, calculate the standard deviation of the load change rate within the sliding window and determine the load stable stage, calculate the target load electrical state of the power grid based on the load stable stage data and the monitored internal status data of the multi-site energy storage devices, and then calculate the power grid dispatching parameters based on the monitored internal status data of the multi-site energy storage devices, use the near-site energy storage devices to dispatch the power grid according to the power grid dispatching parameters, and record the discharge amount of the near-site energy storage devices and the load of the near-site energy storage devices;

[0007] The prediction and judgment unit is used to receive the dispatch command from the steady state unit, obtain the internal status data of the monitored multi-site energy storage devices from the prediction and calculation unit, predict the total amount of electricity that the near-site energy storage devices need to discharge to the power grid, and determine whether the near-site energy storage devices should perform multi-site electricity complementation;

[0008] The prediction calculation unit receives a command from the prediction judgment unit for the near-site energy storage device to perform complementation, calculates a load change rate of the near-site energy storage device based on the monitored internal status data of the multi-site energy storage devices, then calculates an average value of the load change rates of the near-site energy storage devices, and transmits the load change rate of the near-site energy storage device and the average value of the load change rate of the near-site energy storage device to the steady state unit. The steady state unit calculates the standard deviation of the load change rate of the near-site energy storage device within a sliding window and determines whether the load of the near-site energy storage device is in a stable stage during the discharge process of the near-site energy storage device to the power grid;

[0009] The site complementation unit is used to receive data from the steady-state unit on the load steady phase of the near-site energy storage device during the process of discharging to the power grid. When the near-site energy storage device is in the load steady phase during the process of discharging to the power grid, multiple other sites that are relatively close to the near-site energy storage device are used to complement the near-site energy storage device with electricity.

[0010] As a further improvement of the present technical solution, the prediction calculation unit includes a peak prediction module and an average calculation module;

[0011] The peak prediction module monitors the grid operation status and the internal status data of the multi-site energy storage device in real time, obtains the grid voltage, current, the phase angle between the voltage and the grid current, and the historical grid load from the monitored grid operation status data, calculates the grid load according to the grid voltage, current, and the phase angle between the voltage and the grid current, updates the grid load and the historical grid load into a complete historical grid load, uses the ARIMA model to predict the load of the grid at time t based on the complete historical grid load, and then uses the predicted grid load at time t to determine whether the grid has a peak power consumption period at time t. When the predicted grid load at time t is greater than the set grid load, it indicates that the grid has a peak power consumption period at time t, and the grid load fluctuation at time t is large;

[0012] The calculation average module is used to receive a command indicating that the grid load at time t fluctuates greatly from the prediction peak module. The calculation average module obtains the monitored grid operation status data and the complete historical grid load and the grid load at time t from the prediction peak module, obtains the grid load at time t-1 adjacent to the grid load at time t from the complete historical grid load, calculates the load change rate at time t, and then calculates the average value of the load change rate within the sliding window based on the load change rate at time t.

[0013] As a further improvement of the technical solution, the steady state unit includes a steady phase module and a load state module;

[0014] The stable phase module is used to receive the load change rate at the i-th moment, the load change rate at the t-th moment, the size of the sliding window, and the average value of the load change rate in the calculation average module, and calculate the standard deviation of the load change rate in the sliding window, and use the average value of the load change rate and the standard deviation of the load change rate to judge the load stable phase. When the average value of the load change rate is less than the set load stable phase threshold and the standard deviation of the load change rate is less than the set load stable phase threshold, the load stable phase is

[0015]

[0016] The load state module is used to receive the load steady phase in the steady phase module and the grid load predicted at time t in the calculation average module, receive the internal status data of the multi-site energy storage equipment monitored in the prediction peak module, obtain the stable grid load from the load steady phase, calculate the grid target load state and grid dispatch parameters based on the monitored internal status data of the multi-site energy storage equipment, use the near-point energy storage equipment to dispatch the grid according to the grid dispatch parameters, and dispatch the grid to the target load state in advance when the grid reaches the peak at time t, record the discharge amount and load of the near-site energy storage equipment, and transmit the dispatch command to the prediction and judgment unit.

[0017] As a further improvement of this technical solution, the load state module calculates the target load state of the power grid to achieve the following principle:

[0018] Collect and stabilize grid load L stable (t), predict the grid load at time t Maximum capacity of energy storage equipment C max , energy storage equipment minimum load state SOC min , energy storage equipment minimum load state SOC max Calculate the target load state Td of the power grid target , the specific algorithm formula is:

[0019]

[0020] As a further improvement of the present technical solution, the prediction and judgment unit is used to receive a command scheduled in the load status module. The prediction and judgment unit obtains the discharge amount of the near-site energy storage device from the load status module and the internal status data of the monitored multi-site energy storage device from the prediction peak module. The historical discharge amount of the near-site energy storage device and the amount of electricity stored in the near-site energy storage device are extracted from the monitored internal status data of the multi-site energy storage device. The discharge amount of the near-site energy storage device and the historical discharge amount of the near-site energy storage device are updated into a complete near-site historical discharge amount. The ARIMA model is used to predict the total amount of electricity that the near-site energy storage device needs to discharge to the power grid from this moment to time t based on the complete near-site historical discharge amount. The predicted total amount of electricity that the near-site energy storage device needs to discharge and the amount of electricity stored in the near-site energy storage device are then used to determine whether the near-site energy storage device performs multi-site electricity complementation. The specific complementary situations include:

[0021] Case 1: When the total amount of electricity that the nearby energy storage device needs to discharge is predicted to be greater than the amount of electricity stored in the nearby energy storage device, it indicates that the nearby energy storage device is complementing, and a command for complementing the nearby energy storage device is transmitted to the calculation averaging module;

[0022] Case ②: When the total amount of electricity that the near-site energy storage device needs to discharge is predicted to be less than the amount of electricity stored in the near-site energy storage device, it means that the near-site energy storage device does not complement each other.

[0023] As a further improvement to the present technical solution, the averaging module receives a command from the prediction and judgment unit to complement the near-site energy storage device. The averaging module obtains the monitored internal status data of the multi-site energy storage devices from the peak prediction module and the load of the near-site energy storage device from the load status module. The module extracts the historical load of the near-site energy storage device from the monitored internal status data of the multi-site energy storage devices, then obtains the load of energy storage devices adjacent to the load of the near-site energy storage device from the historical load of the near-site energy storage device, calculates the load change rate of the near-site energy storage device, and calculates the average value of the load change rate of the near-site energy storage device within a sliding window based on the load change rate of the near-site energy storage device.

[0024] As a further improvement to the present technical solution, the stable phase module is configured to receive the load change rate of the near-site energy storage device, the load change rate of the near-site energy storage device, the size of the sliding window, and the average value of the load change rate of the near-site energy storage device in the calculation averaging module, and calculate the standard deviation of the load change rate of the near-site energy storage device within the sliding window. The average value and the standard deviation of the load change rate of the near-site energy storage device are used to determine the load stable phase of the near-site energy storage device during the process of discharging to the power grid. When the average value of the load change rate of the near-site energy storage device is less than a set energy storage device load stable phase threshold, and the standard deviation of the load change rate of the near-site energy storage device is less than the set energy storage device load stable phase threshold, it is determined that the near-site energy storage device is in the load stable phase during the process of discharging to the power grid.

[0025] As a further improvement to the present technical solution, the site complementation unit is configured to receive load steady phase data from the steady phase module regarding the near-site energy storage device during discharge to the grid and the total amount of electricity that the near-site energy storage device needs to discharge as predicted by the prediction and judgment unit. When the near-site energy storage device is in the steady phase of load discharge to the grid, if it is found that the predicted total amount of electricity that the near-site energy storage device needs to discharge is greater than the amount of electricity stored in the near-site energy storage device, multiple other sites that are relatively close to the near-site energy storage device are utilized to complement the near-site energy storage device with electricity.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] In a multi-site complementary energy storage scheduling system, the load state module is used to receive the load steady phase in the steady phase module and the grid load predicted at time t in the calculation average module, receive the internal status data of the multi-site energy storage equipment monitored in the prediction peak module, obtain the stable grid load from the load steady phase, calculate the grid target load electrical state and grid scheduling parameters based on the monitored internal status data of the multi-site energy storage equipment, use the near-point energy storage equipment to schedule the grid according to the grid scheduling parameters, and schedule the grid to the target load state in advance when the grid reaches the peak at time t. By accurately calculating the target load electrical state of the grid, the fluctuation of the grid load can be better absorbed and released, the power fluctuation of the grid can be reduced, the voltage and frequency of the grid can be kept stable, and the overall stability of the grid can be improved. At the same time, by considering the scheduling of the grid by the energy storage equipment during the stable phase of the grid, the scheduling error can be reduced and the grid scheduling accuracy can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A unit block diagram of the present invention;

[0029] Figure 2 This is a block diagram of the module unit of the present invention.

[0030] The meaning of each number in the figure is:

[0031] 1. Forecast calculation unit; 11. Peak prediction module; 12. Average calculation module;

[0032] 2. Steady state unit; 21. Steady stage module; 22. Load state module;

[0033] 3. Prediction and judgment unit; 4. Site complementation unit. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0035] The present invention provides a multi-site complementary energy storage dispatching system, please refer to Figure 1-Figure 2 , including a prediction calculation unit 1, a steady state unit 2, a prediction judgment unit 3 and a site complementary unit 4;

[0036] The prediction and calculation unit 1 monitors the grid operation status and the internal status data of the multi-site energy storage devices in real time, calculates the grid load based on the monitored grid operation status data, predicts whether there is a peak power consumption period, calculates the load change rate, and then calculates the average load change rate within the sliding window based on the load change rate;

[0037] The steady state unit 2 is used to receive the load change rate, the average value of the load change rate and the monitored internal status data of the multi-site energy storage device in the prediction calculation unit 1, calculate the standard deviation of the load change rate in the sliding window and determine the load stable stage, calculate the target load electrical state of the power grid based on the load stable stage data and the monitored internal status data of the multi-site energy storage device, and then calculate the power grid dispatching parameters based on the monitored internal status data of the multi-site energy storage device, use the near-point energy storage device to dispatch the power grid according to the power grid dispatching parameters, and record the discharge amount of the near-site energy storage device and the load of the near-site energy storage device;

[0038] The prediction and judgment unit 3 is used to receive the dispatch command from the steady state unit 2, obtain the internal status data of the monitored multi-site energy storage devices from the prediction and calculation unit 1, predict the total amount of electricity that the near-site energy storage devices need to discharge to the power grid, and determine whether the near-site energy storage devices should perform multi-site electricity complementation;

[0039] The prediction calculation unit 1 receives the command from the prediction judgment unit 3 for the near-site energy storage device to complement, calculates the load change rate of the near-site energy storage device based on the monitored internal status data of the multi-site energy storage devices, and then calculates the average value of the load change rate of the near-site energy storage device. The load change rate of the near-site energy storage device and the average value of the load change rate of the near-site energy storage device are transmitted to the steady state unit 2. The steady state unit 2 calculates the standard deviation of the load change rate of the near-site energy storage device within the sliding window and determines the load stable stage of the near-site energy storage device during the discharge process to the power grid;

[0040] The site complementation unit 4 is used to receive the load steady phase data of the near-site energy storage device in the steady state unit 2 during the process of discharging to the power grid. When the near-site energy storage device is in the load steady phase during the process of discharging to the power grid, multiple other sites that are relatively close to the near-site energy storage device are used to complement the near-site energy storage device with electricity.

[0041] The prediction calculation unit 1 includes a peak prediction module 11 and an average calculation module 12;

[0042] The peak prediction module 11 monitors the grid operation status and the internal status data of the multi-site energy storage equipment in real time, and obtains the grid voltage V, grid current I, and the phase angle between the grid voltage and grid current from the monitored grid operation status data. Historical grid load Ld hd , according to the grid voltage V, grid current I, the phase angle between the grid voltage and grid current Calculate grid load The grid load L and the historical grid load are updated to the complete historical grid load, and the ARIMA model is used to calculate the complete historical grid load L. history Predict the load of the power grid at time t, and get the predicted power grid load at time t Then use the predicted grid load at time t The set grid load is used to determine whether there is a peak period of electricity consumption at time t. When the predicted grid load at time t is greater than the set grid load, it means that there is a peak period of electricity consumption at time t, and the grid load fluctuation at time t is large.

[0043] The monitored grid operation status data include grid voltage V, grid current I, and the phase angle between grid voltage and grid current. Historical grid load (including the time points corresponding to the recorded grid load), grid output power, and historical grid output power;

[0044] The internal status data of the monitored multi-site energy storage equipment include temperature, voltage, maximum capacity C of the energy storage equipment near the site max , Current state of charge (SOC) of the energy storage device near the site curr, the minimum load state of charge (SOC) of the energy storage equipment near the site min , the minimum load state of charge (SOC) of the energy storage equipment near the site max , the charging and discharging power P of the energy storage equipment in the stable phase near the site gl , the historical discharge amount of the near-site energy storage device, the amount of electricity stored in the near-site energy storage device, and the historical load of the near-site energy storage device;

[0045] The calculation average module 12 is used to receive the command of the power grid load fluctuation at time t from the prediction peak module 11, and the calculation average module 12 obtains the monitored power grid operation status data and the complete historical power grid load L from the prediction peak module 11. history , grid load at time t From the complete historical grid load L history Obtain the grid load at time t The grid load at the adjacent time t-1 According to the grid load at time t and the grid load at time t-1 Calculate the load change rate at time t Then calculate the average value of the load change rate in the sliding window according to the load change rate ΔL(t) at time t Among them, |W| refers to the size of the sliding window, Refers to the load change rate at time i, where i = t - |W| + 1 represents the starting time point of the sliding window. This formula is used to calculate the average value of the load change rate, which can smooth out short-term load fluctuations, reduce prediction errors, and improve prediction stability.

[0046] The steady state unit 2 includes a steady phase module 21 and a load state module 22;

[0047] The steady phase module 21 is used to receive the load change rate at the i-th moment in the calculation average module 12. Load change rate at time t ΔL(t), sliding window size |W|, average load change rate ΔL avg (t), and calculate the standard deviation of the load change rate within the sliding window Using the average value of the load change rate ΔL avg (t) and the standard deviation of the load change rate Determine the load stability stage, when the average value of the load change rate ΔL avg (t) is less than the set load stable stage threshold ω, and the standard deviation of the load change rate When it is less than the set load steady stage threshold ω, the load steady stage is

[0048] Principle of calculating the standard deviation of load change rate:

[0049] Collect the load change rate at moment i Load change rate at time t ΔL(t), sliding window size |W|, average load change rate ΔL avg (t) Calculate the standard deviation of the load change rate within the sliding window Specific algorithm formula:

[0050]

[0051] Where i = t - |W| + 1 represents the starting time of the sliding window. This formula is used to calculate the standard deviation of the load change rate. By calculating and comparing the standard deviation of the load change rate, the stable phase of the load can be accurately identified, thereby formulating a more appropriate scheduling strategy and improving the accuracy of the scheduling strategy.

[0052] The load state module 22 is used to receive the load stable phase module 21 and calculate the grid load at time t predicted in the average module 12 Receive the internal status data of the multi-site energy storage equipment monitored by the peak prediction module 11, and Get the stable grid load L stable (t), and then obtain the maximum capacity C of the near-site energy storage device from the internal status data of the monitored multi-site energy storage devices max , Current state of charge (SOC) of the energy storage device near the site curr , the charging and discharging power P of the energy storage equipment in the stable phase near the site gl , the minimum load state of charge (SOC) of the energy storage equipment near the site min , the minimum load state of charge (SOC) of the energy storage equipment near the site max , according to the stable grid load L stable (t), predict the grid load at time t Maximum storage capacity of energy storage equipment C max , minimum load state of charge SOC of energy storage equipment min , minimum load state of charge SOC of energy storage equipment max Calculate the target load state Td of the power grid target By accurately calculating the target load state of the power grid, the fluctuation of the power grid load can be better absorbed and released, and the power fluctuation of the power grid can be reduced. The stable load helps to maintain the voltage and frequency stability of the power grid and improve the overall stability of the power grid. At the same time, it can provide additional power support during the peak period of power demand, balance the power supply and demand of the power grid, and reduce the power demand during the peak period. Then, according to the charging and discharging power of the energy storage equipment in the stable stage near the site, the P gl Calculate the grid dispatching parameters and obtain the grid dispatching parameters Wherein, ΔT refers to the time interval between each adjustment operation. By considering the charge and discharge power of the energy storage device, the dispatching power of the power grid can be calculated more accurately, the dispatching error can be reduced, and the dispatching accuracy of the power grid can be improved. The near-site energy storage device dispatches the power grid according to the power grid dispatch parameter ΔCS. When the power grid reaches the peak at time t, the power grid is dispatched to the target load state in advance. The discharge amount and load of the near-site energy storage device are recorded, and the dispatching command is transmitted to the prediction and judgment unit 3.

[0053] Principle of calculating the target load state of the power grid:

[0054] Collect and stabilize grid load L stable (t), predict the grid load at time t Maximum capacity of energy storage equipment C max , energy storage equipment minimum load state SOC min , energy storage equipment minimum load state SOC max Calculate the target load state Td of the power grid target , the specific algorithm formula is:

[0055]

[0056] Among them, this formula is used to calculate the target load electrical state of the power grid. By accurately calculating the target load electrical state of the power grid, it can better absorb and release the fluctuation of the power grid load and reduce the power fluctuation of the power grid;

[0057] The prediction and judgment unit 3 is used to receive the command scheduled by the load status module 22, and the prediction and judgment unit 3 obtains the discharge amount of the near-site energy storage device from the load status module 22 and the internal status data of the monitored multi-site energy storage device from the prediction peak module 11, extracts the historical discharge amount of the near-site energy storage device and the amount of electricity stored in the near-site energy storage device from the monitored internal status data of the multi-site energy storage device, and updates the discharge amount of the near-site energy storage device and the historical discharge amount of the near-site energy storage device into a complete near-site historical discharge amount Q history , using the ARIMA model based on the complete historical discharge volume Q of the nearby stations history Predict the total amount of electricity that the near-site energy storage device needs to discharge to the grid from this moment to time t, and obtain the total amount of electricity that the near-site energy storage device needs to discharge Reuse the predicted total amount of electricity that needs to be discharged by the nearby energy storage equipment The amount of electricity stored in the nearby energy storage device is used to determine whether the nearby energy storage device can complement the multi-site electricity. The specific complementary situations include:

[0058] Case 1: When predicting the total amount of electricity that the nearby energy storage equipment needs to discharge When the amount of electricity stored in the nearby energy storage device is greater than the amount of electricity stored in the nearby energy storage device, it indicates that the nearby energy storage device is complementing, and a command for complementing the nearby energy storage device is transmitted to the calculation average module 12;

[0059] Case 2: When predicting the total amount of electricity that the energy storage equipment near the site needs to discharge If the amount is less than the amount of electricity stored in the nearby energy storage device, it means that the nearby energy storage device is not complementary;

[0060] The calculation average module 12 is used to receive the command for the near-site energy storage device to complement in the prediction judgment unit 3. The calculation average module 12 obtains the internal status data of the monitored multi-site energy storage devices from the prediction peak module 11 and the load of the near-site energy storage device from the load status module 22, extracts the historical load of the near-site energy storage device from the monitored internal status data of the multi-site energy storage device, obtains the load of the energy storage device adjacent to the load of the near-site energy storage device from the historical load of the near-site energy storage device, calculates the load change rate ΔJL(t) of the near-site energy storage device, and calculates the average value of the load change rate of the near-site energy storage device within the sliding window based on the load change rate of the near-site energy storage device. Among them, |W| refers to the size of the sliding window, The value of the load change rate of the near-site energy storage device at time j, where j = t - |W| + 1 represents the starting time of the sliding window. This formula is used to calculate the average load change rate of the near-site energy storage device. By monitoring the average load change rate within the sliding window, it is possible to better identify and maintain a stable discharge phase, thereby reducing power fluctuations in the grid.

[0061] The steady phase module 21 is used to receive the load change rate of the energy storage equipment at the nearest site at the jth moment in the calculation average module 12. The load change rate of the near-site energy storage device ΔJL(t), the size of the sliding window W|, and the average value of the load change rate of the near-site energy storage device ΔJL avg (t), and calculate the standard deviation of the load change rate of the energy storage equipment near the site within the sliding window Using the average value of the load change rate of the energy storage equipment near the site ΔJL avg (t) and the standard deviation of the load change rate of the energy storage equipment near the site Determine the load stability stage of the near-site energy storage device during the discharge process to the grid. During the load stability stage, the discharge power of the energy storage device changes little, which helps to maintain the voltage and frequency stability of the grid, and can more accurately schedule the discharge operation of the energy storage device to optimize energy utilization efficiency. When the average value of the load change rate of the near-site energy storage device ΔJL avg (t) is less than the set energy storage equipment load stable stage threshold ε, and the standard deviation of the load change rate of the energy storage equipment near the site When the load stability threshold ε of the energy storage device is less than the set load stability threshold ε, the load stability stage of the near-site energy storage device during the discharge process to the grid is

[0062] The site complementary unit 4 is used to receive the load stable phase of the near-site energy storage device in the process of discharging to the power grid in the stable phase module 21. The total amount of electricity that the energy storage equipment near the site needs to discharge is predicted in the data and prediction judgment unit 3 When the load of the near-site energy storage device is stable during the process of discharging to the grid, it is found that the total amount of electricity that the near-site energy storage device needs to discharge is The amount of electricity stored in the energy storage device at the nearby site is greater than the amount stored in the nearby site energy storage device, and multiple other sites that are close to the nearby site energy storage device are used to complement the electricity stored in the nearby site energy storage device. This can effectively avoid the problem of insufficient electricity in the energy storage device at a single site and improve the stability and reliability of the entire power grid.

[0063] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-site complementary energy storage dispatching system, characterized by: It includes a prediction calculation unit (1), a steady state unit (2), a prediction judgment unit (3) and a site complementation unit (4); The prediction calculation unit (1) monitors the grid operation state and the internal status data of the multi-site energy storage device in real time, calculates the grid load based on the monitored grid operation state data, predicts whether there is a peak power consumption period and calculates the load change rate, and then calculates the average value of the load change rate within a sliding window based on the load change rate; The steady state unit (2) is used to receive the load change rate, the average value of the load change rate and the monitored internal status data of the multi-site energy storage device in the prediction calculation unit (1), calculate the standard deviation of the load change rate in the sliding window and determine the load steady stage, calculate the target load electrical state of the power grid based on the load steady stage data and the monitored internal status data of the multi-site energy storage device, calculate the power grid dispatching parameters based on the monitored internal status data of the multi-site energy storage device, use the near-point energy storage device to dispatch the power grid according to the power grid dispatching parameters, and record the discharge amount of the near-point energy storage device and the load of the near-point energy storage device; The prediction and judgment unit (3) is used to receive the dispatch command from the steady state unit (2), and the prediction and judgment unit (3) obtains the internal status data of the monitored multi-site energy storage device from the prediction and calculation unit (1), predicts the total amount of electricity that the near-site energy storage device needs to discharge to the power grid, and determines whether the near-site energy storage device performs multi-site electricity complementation; The prediction calculation unit (1) receives a command from the prediction judgment unit (3) for the near-site energy storage device to perform complementation, calculates the load change rate of the near-site energy storage device based on the monitored internal status data of the multi-site energy storage device, and then calculates the average value of the load change rate of the near-site energy storage device. The load change rate of the near-site energy storage device and the average value of the load change rate of the near-site energy storage device are transmitted to the steady state unit (2). The steady state unit (2) calculates the standard deviation of the load change rate of the near-site energy storage device within a sliding window and determines the load stable stage of the near-site energy storage device during the discharge process to the power grid; The site complementary unit (4) is used to receive data of a load stable phase of the near-site energy storage device in the stable state unit (2) during the process of discharging to the power grid, and when the near-site energy storage device is in the load stable phase during the process of discharging to the power grid, multiple other sites that are relatively close to the near-site energy storage device are used to complement the near-site energy storage device with electricity.

2. The energy storage scheduling system for multi-site complementarity according to claim 1, characterized in that: The prediction calculation unit (1) includes a peak prediction module (11) and an average calculation module (12); The peak prediction module (11) monitors the grid operation state and the internal status data of the multi-site energy storage device in real time, obtains the grid voltage, current, the phase angle between the voltage and the grid current, and the historical grid load from the monitored grid operation state data, calculates the grid load according to the grid voltage, current, and the phase angle between the voltage and the grid current, updates the grid load and the historical grid load into a complete historical grid load, uses the ARIMA model to predict the load of the grid at time t based on the complete historical grid load, and then uses the predicted grid load at time t to determine whether the grid has a peak power consumption period at time t. When the predicted grid load at time t is greater than the set grid load, it indicates that the grid has a peak power consumption period at time t, and the grid load at time t fluctuates greatly. The calculation average module (12) is used to receive a command indicating that the grid load at time t fluctuates greatly from the prediction peak module (11). The calculation average module (12) obtains the monitored grid operation status data and the complete historical grid load and the grid load at time t from the prediction peak module (11), obtains the grid load at time t-1 adjacent to the grid load at time t from the complete historical grid load, calculates the load change rate at time t, and then calculates the average value of the load change rate within a sliding window based on the load change rate at time t.

3. The energy storage scheduling system for multi-site complementarity according to claim 2, characterized in that: The steady state unit (2) includes a steady phase module (21) and a load state module (22); The steady phase module (21) is used to receive the load change rate at the i-th moment, the load change rate at the t-th moment, the size of the sliding window, and the average value of the load change rate from the calculation average module (12), and calculate the standard deviation of the load change rate within the sliding window, using the average value ΔL of the load change rate avg (t) and the standard deviation of the load change rate When the average value of the load change rate is less than the set load steady stage threshold ω, and the standard deviation of the load change rate is less than the set load steady stage threshold, the load steady stage is The load state module (22) is used to receive the load steady phase in the steady phase module (21) and the grid load predicted at time t in the calculation average module (12), receive the internal status data of the multi-site energy storage device monitored in the prediction peak module (11), obtain the steady grid load from the load steady phase, calculate the grid target load state and grid dispatch parameters based on the monitored internal status data of the multi-site energy storage device, use the near-point energy storage device to dispatch the grid according to the grid dispatch parameters, dispatch the grid to the target load state in advance when the grid reaches the peak at time t, record the discharge amount of the near-site energy storage device and the load of the near-site energy storage device, and transmit the dispatch command to the prediction judgment unit (3).

4. The energy storage dispatching system for multi-site complementarity according to claim 3, characterized in that: The load state module (22) calculates the target load state of the power grid to achieve the following principle: Collect and stabilize grid load L stable (t), predict the grid load at time t Maximum capacity of energy storage equipment C max , minimum load state of charge SOC of energy storage equipment min , minimum load state of charge SOC of energy storage equipment max Calculate the target load state Td of the power grid target , the specific algorithm formula is:

5. The energy storage scheduling system for multi-site complementarity according to claim 3, characterized in that: The prediction and judgment unit (3) is used to receive the command scheduled in the load state module (22), and the prediction and judgment unit (3) obtains the discharge amount of the near-site energy storage device from the load state module (22) and the internal status data of the monitored multi-site energy storage device from the prediction peak module (11), extracts the historical discharge amount of the near-site energy storage device and the amount of electricity stored in the near-site energy storage device from the monitored internal status data of the multi-site energy storage device, updates the discharge amount of the near-site energy storage device and the historical discharge amount of the near-site energy storage device into a complete near-site historical discharge amount, uses the ARIMA model to predict the total amount of electricity that the near-site energy storage device needs to discharge to the power grid from this moment to time t based on the complete near-site historical discharge amount, and then uses the predicted total amount of electricity that the near-site energy storage device needs to discharge and the amount of electricity stored in the near-site energy storage device to determine whether the near-site energy storage device performs multi-site electricity complementation, and the specific complementary situations include: Case ①: When it is predicted that the total amount of electricity that the near-site energy storage device needs to discharge is greater than the amount of electricity stored in the near-site energy storage device, it indicates that the near-site energy storage device is complementary, and the command for the near-site energy storage device to complement is transmitted to the calculation average module (12); Case ②: When the total amount of electricity that the near-site energy storage device needs to discharge is predicted to be less than the amount of electricity stored in the near-site energy storage device, it means that the near-site energy storage device does not complement each other.

6. The energy storage dispatching system for multi-site complementarity according to claim 5, characterized in that: The calculation average module (12) receives a command from the prediction judgment unit (3) for the near-site energy storage device to complement, and the calculation average module (12) obtains the monitored internal status data of the multi-site energy storage device from the prediction peak module (11) and the load of the near-site energy storage device from the load status module (22), extracts the historical load of the near-site energy storage device from the monitored internal status data of the multi-site energy storage device, and then obtains the load of the energy storage device adjacent to the load of the near-site energy storage device from the historical load of the near-site energy storage device, calculates the load change rate of the near-site energy storage device, and calculates the average value of the load change rate of the near-site energy storage device within a sliding window based on the load change rate of the near-site energy storage device.

7. The energy storage dispatching system for multi-site complementarity according to claim 6, characterized in that: The stable phase module (21) is used to receive the load change rate of the near-site energy storage device, the load change rate of the near-site energy storage device, the size of the sliding window, and the average value of the load change rate of the near-site energy storage device in the calculation average module (12), and calculate the standard deviation of the load change rate of the near-site energy storage device within the sliding window. The average value of the load change rate of the near-site energy storage device and the standard deviation of the load change rate of the near-site energy storage device are used to judge the load stable phase of the near-site energy storage device during the discharge process to the power grid. When the average value of the load change rate of the near-site energy storage device is less than a set energy storage device load stable phase threshold, and the standard deviation of the load change rate of the near-site energy storage device is less than the set energy storage device load stable phase threshold, it is concluded that the load stable phase of the near-site energy storage device during the discharge process to the power grid is obtained.

8. The energy storage dispatching system for multi-site complementarity according to claim 3, characterized in that: The site complementary unit (4) is used to receive the load steady phase data of the near-site energy storage device in the process of discharging to the power grid in the steady phase module (21) and the total amount of electricity that the near-site energy storage device needs to discharge predicted by the prediction judgment unit (3). When the near-site energy storage device is in the load steady phase of the process of discharging to the power grid, it is found that the total amount of electricity that the near-site energy storage device needs to discharge is greater than the amount of electricity stored in the near-site energy storage device, and multiple other sites that are close to the near-site energy storage device are used to complement the near-site energy storage device with electricity.

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