Energy storage scheduling system for multi-site complementation

Abstract

The invention relates to the technical field of energy storage scheduling, in particular to an energy storage scheduling system for multi-station complementation. The system comprises a prediction calculation unit, a stationary state unit, a prediction judgment unit and a station complementation unit. A load state module obtains a stable power grid load from a load stable stage, calculates a power grid target load power state and power grid dispatching parameters according to monitored internal condition data of multi-site energy storage equipment, and dispatches a power grid according to the power grid dispatching parameters by using near-point energy storage equipment. The power grid is dispatched to the target load state in advance when the t moment of the power grid reaches the peak, and the target load state of the power grid is accurately calculated, so that the fluctuation of the power grid load can be better absorbed and released, the power fluctuation of the power grid is reduced, the voltage and frequency of the power grid are kept stable, and the overall stability of the power grid is improved; meanwhile, scheduling errors can be reduced and power grid scheduling precision can be improved by considering scheduling of the energy storage equipment on the power grid in the stable stage of the power grid.

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 dispatching realizes the optimal allocation of power resources and the stable operation of the power grid by integrating energy storage, energy management, communication and network, 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, the power grid will have high load fluctuations. Therefore, in order to keep the power grid in a balanced load state during peak periods, power engineers perform complementary dispatching operations when the peak period arrives. When the grid is complementary dispatched when the peak period arrives, the load state of the grid is unbalanced, which makes the load fluctuation of the grid unstable for a short time, increases the problem of large power fluctuation of the grid, and thus causes the overall stability of the grid. At the same time, when the grid is dispatched under the condition of unbalanced load state, the dispatching calculation error is increased, resulting in a decrease in the dispatching accuracy of the grid. Therefore, we provide a multi-site complementary energy storage dispatching system. Summary of the invention

[0003] The object of the present invention is to provide an energy storage dispatching 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 dispatching 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 device in real time, calculates the grid load according to the monitored grid operation status data, predicts whether there is a peak period of electricity consumption and calculates the load change rate, and then calculates the average value of the load change rate within the sliding window according to 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 device in the prediction calculation unit, 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 according to 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 according to 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;

[0007] The prediction and judgment unit is used to receive the command dispatched in the stable state unit, and the prediction and judgment unit obtains the internal status data of the monitored multi-site energy storage device from the prediction and calculation unit, 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;

[0008] The prediction calculation unit receives the command for complementation of the near-site energy storage device in the prediction judgment unit, calculates the load change rate of the near-site energy storage device according to 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, 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, and the steady state unit calculates the standard deviation of the load change rate of the near-site energy storage device in the sliding window and determines the load stable stage of the near-site energy storage device in the process of discharging to the power grid;

[0009] The site complementary unit is used to receive the load stable stage data of the near-site energy storage device in the stable state unit during the discharge process to the power grid. When the near-site energy storage device is in the load stable stage during the discharge process to the power grid, 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.

[0010] As a further improvement of the 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, phase angle between the voltage and the grid current, and historical grid load from the monitored grid operation status data, calculates the grid load according to the grid voltage, current, and 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 according to 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 means that the grid at time t has a peak power consumption period, and the grid load at time t fluctuates greatly;

[0012] The calculation average module is used to receive a command indicating that the grid load at time t fluctuates greatly in 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 stage 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 electrical state and grid dispatching 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 dispatching 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 of the near-site energy storage equipment and the load of the near-site energy storage equipment, and pass the dispatching command to the prediction judgment unit.

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

[0018] Collect stable 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 technical solution, the prediction and judgment unit is used to receive the command scheduled in the load state module, and the prediction and judgment unit obtains the discharge amount of the near-site energy storage device from the load state module and the internal status data of the monitored multi-site energy storage device from the prediction peak module, extracts the historical discharge amount of the near-site energy storage device and the power 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, and uses the ARIMA model to predict the total amount of power 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 power that the near-site energy storage device needs to discharge and the power stored in the near-site energy storage device to determine whether the near-site energy storage device performs multi-site power complementation, and the specific complementary situations include:

[0021] 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 a command for the near-site energy storage device to complement is transmitted to the calculation average module;

[0022] Case ②: When it is predicted that the total amount of electricity that the near-site energy storage device needs to discharge is 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 of the present technical solution, the calculation average module receives a command for complementation of the near-site energy storage device in the prediction judgment unit, and the calculation average module obtains the monitored internal status data of the multi-site energy storage device from the prediction peak module and the load of the near-site energy storage device from the load status module, 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 the sliding window according to the load change rate of the near-site energy storage device.

[0024] As a further improvement of the present technical solution, the stable stage module 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, and calculate the standard deviation of the load change rate of the near-site energy storage device in the sliding window, and use 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 to judge the load stable stage of the near-site energy storage device in 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 the set energy storage device load stable stage 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 stage threshold, the load stable stage of the near-site energy storage device in the process of discharging to the power grid is obtained.

[0025] As a further improvement of the present technical solution, the site complementary unit is used to receive the load stable phase data of the near-site energy storage device in the stable phase module during the discharge process to the power grid and the total amount of electricity that the near-site energy storage device needs to discharge predicted in the prediction and judgment unit. When the near-site energy storage device is in the load stable phase during the discharge process 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.

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

[0027] In the energy storage dispatching system for multi-site complementarity, 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 steady grid load from the load steady phase, calculate the grid target load electrical state and grid dispatching parameters according to 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 dispatching parameters, and dispatch 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, and the voltage and frequency of the grid can be kept stable, thereby improving the overall stability of the grid. At the same time, in the steady phase of the grid, the dispatching error can be reduced by considering the dispatching of the grid by the energy storage equipment, thereby improving the precision of the grid dispatching. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0029] Figure 2 It 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. Forecast peak module; 12. Calculate average 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 be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work 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 operation status of the power grid and the internal status data of the multi-site energy storage equipment in real time, calculates the power grid load according to the monitored power grid operation status data, predicts whether there is a peak period of electricity consumption and calculates the load change rate, and then calculates the average value of the load change rate within the sliding window according to 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 internal status data of the monitored 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 according to 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 according to 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 command dispatched by 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;

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

[0040] The site complementary unit 4 is used to receive the load stable stage data of the near-site energy storage device in the stable state unit 2 during the discharge process to the power grid. When the near-site energy storage device is in the load stable stage during the discharge process to the power grid, 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.

[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 obtain the predicted power grid load at time t Then use the predicted grid load at time t It is determined whether there is a peak period of power consumption at time t based on the set power grid load. When the predicted power grid load at time t is greater than the set power grid load, it means that there is a peak period of power consumption at time t, and the power 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 point corresponding to the recording of grid load), grid output power and historical grid output power;

[0044] The internal status data of the multi-site energy storage equipment monitored includes temperature, voltage, maximum capacity C of the near-site energy storage equipment max , Current state of charge SOC of the energy storage device near the site curr, the minimum load state of the energy storage equipment near the site SOC min , the minimum load state of the energy storage equipment near the site SOC max , the charging and discharging power P of the energy storage equipment in the stable stage 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 , the 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, according to the load change rate ΔL(t) at time t, the average value of the load change rate is calculated in the sliding window. Among them, |W| refers to the size of the sliding window, Refers to the load change rate at the i-th moment, 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. The average value 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 stable stage threshold ω, the load stable stage is

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

[0049] Collect the load change rate at the i-th moment 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] Among them, i=t-|W|+1 represents the starting time point 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 stage of the load can be accurately identified, so as to formulate a more appropriate scheduling strategy and improve 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 predicted at time t in the average module 12 Receive the internal status data of the multi-site energy storage equipment monitored in 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 stage near the site gl , the minimum load state of the energy storage equipment near the site SOC min , the minimum load state of the energy storage equipment near the site SOC 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 , 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 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 Among them, ΔT refers to the time interval of each adjustment operation. By considering the charging and discharging 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-point energy storage device dispatches the power grid according to the power grid dispatching parameter ΔCS, and will dispatch the power grid to the target load state in advance when the power grid reaches the peak at time t. The discharge amount of the near-site energy storage device and the 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 electrical state of the power grid:

[0054] Collect stable 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, the fluctuation of the power grid load can be better absorbed and released, and the power fluctuation of the power grid can be reduced;

[0057] 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 power 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 of the nearby station Q history Predict the total amount of electricity that the near-site energy storage device needs to discharge to the grid from now to time t, and get the total amount of electricity that the near-site energy storage device needs to discharge Reuse to predict the total amount of electricity that needs to be discharged by the nearby energy storage equipment The power stored in the nearby energy storage device is used to determine whether the nearby energy storage device can complement the power of multiple sites. The specific complementary situations include:

[0058] Case 1: When predicting the total amount of electricity that needs to be discharged by the near-site energy storage equipment 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 complementary, and a command for the nearby energy storage device to be complementary is transmitted to the calculation average module 12;

[0059] Case 2: When predicting the total amount of electricity that needs to be discharged by the near-site energy storage equipment When it is less than the amount of electricity stored in the nearby energy storage device, it means that the nearby energy storage device does not complement;

[0060] The calculation average module 12 is used to receive the command of the near-site energy storage device to complement in the prediction judgment unit 3, 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, obtains the energy storage device load adjacent to the near-site energy storage device load from the near-site energy storage device historical load to calculate the near-site energy storage device load change rate ΔJL(t), and calculates the average value of the near-site energy storage device load change rate in the sliding window according to the near-site energy storage device load change rate Among them, |W| refers to the size of the sliding window, Refers to the load change rate of the near-site energy storage device at the jth moment, j = 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 of the near-site energy storage device. By monitoring the average load change rate within the sliding window, a stable discharge phase can be better identified and maintained, thereby reducing power fluctuations in the power grid;

[0061] The stable phase module 21 is used to receive the load change rate of the energy storage device near the 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 near-site energy storage equipment 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 stable load stage of the near-site energy storage device during the discharge process to the grid. In the stable load 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 the 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 it is less than the set energy storage device load stable stage threshold ε, the load stable 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 stable phase module 21 during the discharge process to the power grid. The total amount of electricity that the energy storage device near the site needs to discharge is predicted in the data and prediction judgment unit 3 When the near-site energy storage device is in the load stable stage during the process of discharging to the grid, it is found that the total amount of electricity that needs to be discharged by the near-site energy storage device is predicted. The amount of electricity stored in the energy storage device at the nearby site is greater than the amount of electricity stored in the energy storage device at the nearby site, and multiple other sites that are close to the energy storage device at the nearby site are used to complement the energy storage device at the nearby site. 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 overall 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 by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached 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 and calculation unit (1) monitors the operation status of the power grid and the internal status data of the multi-site energy storage device in real time, calculates the power grid load based on the monitored power grid operation status 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 the sliding window based on the load change rate; The stable 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 power grid target load electrical state according to 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 according to 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 command dispatched by 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 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 device, and then calculates the average value of the load change rate of the near-site energy storage device, 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 (2), and the steady state unit (2) calculates the standard deviation of the load change rate of the near-site energy storage device in the sliding window and determines the load steady stage of the near-site energy storage device in the process of discharging to the power grid; The site complementary unit (4) is used to receive the data of the load stable stage 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 stage 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 dispatching system for multi-site complementarity according to claim 1, characterized in that: The prediction calculation unit (1) comprises a peak prediction module (11) and an average calculation module (12); The peak prediction module (11) 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, phase angle between the voltage and the grid current, and historical grid load from the monitored grid operation status data, calculates the grid load according to the grid voltage, current, and 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 according to 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 means that the grid has a peak power consumption period at time t, and the grid load fluctuation at time t is large; 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 the sliding window according to the load change rate at time t.

3. The energy storage dispatching system for multi-site complementarity according to claim 2, characterized in that: The steady state unit (2) comprises a steady phase module (21) and a load state module (22); The stable 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 in the calculation average module (12), 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 a 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 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 electrical state and 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 grid according to the grid dispatching parameters, dispatch the grid to the target load state in advance when the grid reaches the peak period at time t, record the discharge amount of the near-point energy storage device and the load of the near-point energy storage device, and transmit the dispatching command to the prediction judgment unit (3).

4. The energy storage dispatching system for multi-site complementarity according to claim 3 is characterized in that: The load state module (22) calculates the target load state of the power grid to achieve the following principle: Collect stable 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:

5. The energy storage dispatching 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), the prediction and judgment unit (3) obtains the discharge amount of the near-site energy storage device from the load state module (22) and obtains 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 complementation situation includes: 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 a command for the near-site energy storage device to complement is transmitted to the calculation average module (12); Case ②: When it is predicted that the total amount of electricity that the near-site energy storage device needs to discharge is 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 in the sliding window according to 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 in the sliding window, and use 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 to judge the load stable phase of the near-site energy storage device in 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, then the load stable phase of the near-site energy storage device in the process of discharging 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 stable phase data of the near-site energy storage device in the process of discharging to the power grid in the stable phase module (21) and the total amount of electricity that the near-site energy storage device needs to discharge predicted in the prediction judgment unit (3); when the near-site energy storage device is in the load stable 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 relatively close to the near-site energy storage device are used to complement the near-site energy storage device with electricity.

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