Method and system for acquiring load adjustable power of energy storage device

Abstract

The invention discloses a method and a system for acquiring the load regulation power of an energy storage device, and the method is characterized in that the method comprises the following steps: collecting the maximum regulation power of the energy storage device, and predicting a future load curve through a historical load curve; and constructing a load adjustment objective function by using the maximum adjustment power and the future load curve, and solving the load adjustment objective function through a quasi-Newton method to obtain the adjustable power # imgabs0 # of the energy storage device. The intelligent power regulation of the energy storage device is realized, the load change response capability of the energy storage device is improved, quicker and more accurate regulation is realized, the scheduling strategy is optimized, the energy waste is reduced, the energy utilization efficiency is improved, and the stable operation of a power grid is ensured.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and more specifically, to a method and system for acquiring load regulation power of an energy storage device. Background Art

[0002] As an important power regulation equipment, the rational and efficient use of energy storage devices is crucial to improving grid stability and energy utilization efficiency.

[0003] The power adjustment setting of traditional energy storage devices often relies on manual experience or simple rule judgment, which lacks scientificity and flexibility and is difficult to adapt to the complex and changeable changes in grid load. At the same time, due to unreasonable power adjustment setting of energy storage devices, it may lead to energy waste and loss, reduce energy utilization efficiency, and even threaten the stable operation of the grid.

[0004] In view of the above problems, there is an urgent need for a method and system for obtaining the load regulation power of an energy storage device. Summary of the invention

[0005] In order to solve the deficiencies in the prior art, the present invention provides a method and system for obtaining the load regulation power of an energy storage device. By predicting the future load curve and constructing a load regulation objective function, the adjustable power of the energy storage device is solved by the quasi-Newton method and energy storage scheduling is performed for load peaks.

[0006] The present invention adopts the following technical solution.

[0007] The first aspect of the present invention relates to a method for obtaining load regulation power of an energy storage device, the method comprising the following steps: collecting the maximum regulation power of the energy storage device, and using the historical load curve to predict the future load curve; constructing a load regulation objective function using the maximum regulation power and the future load curve, and solving the load regulation objective function by the quasi-Newton method to obtain the adjustable power of the energy storage device. .

[0008] Preferably, using the historical load curve to predict the future load curve includes: fitting the historical load curve using an autoregressive time series algorithm to obtain the future load curve , The time to be predicted.

[0009] Preferably, the load regulation objective function is constructed using the maximum regulation power and the future load curve, including: the load regulation objective function is: , In the formula, To regulate the goal; is the maximum regulating power of the energy storage device, which is a constant; and for The solution of time, and , is a constant.

[0010] Preferably, solving the load regulation objective function by the quasi-Newton method includes: is the initial range, is the step size, iterative setting Possible solutions; obtain the iteration interval from the possible solutions through the quasi-Newton method , and then use the optimal solution interval as the range after one iteration, and repeatedly solve the optimal solution space until it meets the preset conditions; in the optimal solution space, is the number of the best possible solution at the first iteration.

[0011] Preferably, the preset condition is: The iteration interval for the iteration make Located in the interval middle, For the The number of the best possible solution at iteration .

[0012] Preferably, the optimal solution is used calculate The intersection position; within the 24-hour shiftable time period, the intersection position includes at least one intersection position corresponding to the earliest time. The intersection position corresponding to the latest time .

[0013] Preferably, during the period to The energy storage device generates an adjustment period during which the adjustable power of the energy storage device is used. , Generate energy storage and adjust power during the adjustment period ; During the period to The regulation power of the energy storage device in each period conform to: , And, calculate the ,like ,but The regulated power at the moment is ,like ,but The regulated power at the moment is .

[0014] The second aspect of the present invention relates to a system for acquiring load regulation power of an energy storage device, the system is implemented by using a method for acquiring load regulation power of an energy storage device in the first aspect of the present invention; and the system includes a prediction module and a regulation module; wherein the acquisition module is used to acquire the maximum regulation power of the energy storage device and predict the future load curve using the historical load curve; the regulation module is used to construct a load regulation objective function using the maximum regulation power and the future load curve, and solve the load regulation objective function by the quasi-Newton method to obtain the adjustable power of the energy storage device .

[0015] A third aspect of the present invention relates to a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method according to the first aspect of the present invention.

[0016] A fourth aspect of the present invention relates to a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method in the first aspect of the present invention.

[0017] The beneficial effect of the present invention is that, compared with the prior art, the method and system for obtaining the load regulation power of an energy storage device in the present invention predicts the future load curve, constructs the load regulation objective function, solves the adjustable power of the energy storage device through the quasi-Newton method, and performs energy storage scheduling for the load peak. The present invention realizes the intelligent power regulation of the energy storage device, which not only improves the ability of the energy storage device to respond to load changes, realizes faster and more accurate regulation, but also optimizes the scheduling strategy, reduces energy waste, improves energy utilization efficiency, and ensures the stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of a 96-point future load curve predicted by a method for acquiring load regulation power of an energy storage device according to the present invention; Figure 2 A schematic diagram of dividing possible solutions by using a quasi-Newton method in a method for acquiring load regulation power of an energy storage device according to the present invention; Figure 3 It is a schematic diagram of iteratively solving the adjustable power by the quasi-Newton method in a method for acquiring load regulation power of an energy storage device of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention clearer and more accurate, the technical solution of the present invention is described in detail below through multiple specific implementation methods. The embodiments adopted by the present invention are only used to explain the present invention and are not used to limit the content of the present invention.

[0020] A first aspect of the present invention relates to a method for acquiring load regulation power of an energy storage device, the method comprising steps 1 and 2.

[0021] Step 1: collect the maximum regulation power of the energy storage device and use the historical load curve to predict the future load curve.

[0022] Maximum adjustable power of energy storage device , minimum regulated power It is the equipment parameter of the energy storage device. In a short scheduling time, the equipment parameter of the energy storage device is unchanged. The above parameters can be obtained by collecting the local equipment information of the energy storage device.

[0023] Figure 1 This is a schematic diagram of a 96-point future load curve predicted by a method for obtaining load regulation power of an energy storage device according to the present invention. Figure 1 As shown, using the historical load curve to predict the future load curve includes: fitting the historical load curve using an autoregressive time series algorithm to obtain the future load curve , The time to be predicted.

[0024] Step 2: Use the maximum adjustable power and future load curve to construct the load regulation objective function, and solve the load regulation objective function by the quasi-Newton method to obtain the adjustable power of the energy storage device. .

[0025] Utilize maximum regulated power 、Future load curve Constructing a load regulation objective function, including: the load regulation objective function is: , In the formula, To regulate the goal; is the maximum regulating power of the energy storage device, which is a constant; and for The solution of time, and , is a constant.

[0026] In the above formula, For function With horizontal line The area of ​​the closed shape obtained by surrounding it, therefore, It is obtained by solving the integral of the closed part function difference over time.

[0027] The goal of this invention is to make the area of ​​the enclosed part infinitely close to the capacity of the energy storage battery, and to provide power supply for the peak power consumption interval of the future load curve by maximizing the use of the energy storage battery capacity. On this basis, in order to realize the unconstrained optimization solution process of the quasi-Newton method, the load regulation target is obtained as .

[0028] Considering the uncertainty of future load curve characteristics, the load peak period may be around 0 o'clock or 24 o'clock. .

[0029] Figure 2 FIG. 1 is a schematic diagram of dividing possible solutions by using the quasi-Newton method in a method for obtaining load regulation power of an energy storage device according to the present invention. Figure 2 As shown in the figure, the load regulation objective function is solved by the quasi-Newton method, including: is the initial range, is the step size, iterative setting Possible solutions; obtain the iteration interval from the possible solutions through the quasi-Newton method , and then use the optimal solution interval as the range after one iteration, and repeatedly solve the optimal solution space until it meets the preset conditions; in the optimal solution space, is the number of the best possible solution at the first iteration.

[0030] When solving the load regulation objective function using the quasi-Newton method, the possible solution intervals are iteratively split and the function values ​​at the endpoints of multiple intervals are calculated to obtain the possible optimal solution. After multiple iterations, the optimal solution is determined with a certain degree of accuracy.

[0031] In one embodiment, the interval of possible solutions is split into 100 difference points by iteration until a preset condition is met, and then the iteration process is terminated to obtain the optimal solution.

[0032] Figure 3 The schematic diagram of the method for obtaining load regulation power of an energy storage device of the present invention is to iteratively solve the adjustable power by the quasi-Newton method. Figure 3 As shown, the preset conditions are: The iteration interval for the iteration make Located in the interval middle, For the The number of the best possible solution at iteration .

[0033] The preset condition is that during multiple iterations, Whatever the value of Located at an absolute approximation and not exceeding within the range of , thereby maximizing the use of the reserved capacity of the energy storage device.

[0034] Using the optimal solution calculate The intersection position; within the 24-hour shiftable time period, the intersection position includes at least one intersection position corresponding to the earliest time. The intersection position corresponding to the latest time .

[0035] After finding the optimal solution, substitute it into the above formula to obtain the intersection between the future load curve and the horizontal line, and use this as the time period for the energy storage equipment to participate in peak regulation.

[0036] In the period to The energy storage device generates an adjustment period during which the adjustable power of the energy storage device is used. , Generate energy storage and adjust power during the adjustment period ; In the period to The regulation power of the energy storage device in each period conform to: , And, calculate the ,like ,but The regulated power at the moment is ,like ,but The regulated power at the moment is .

[0037] In the actual adjustment process, the energy storage device has output power limitations, and the output power of the energy storage battery is adjusted in steps. and To limit the actual output power of energy storage, and flexibly compensate in other dispatchable periods to ensure that the total regulation power of energy storage is Therefore, the adjustable power is calculated The process of predicting future load peaks and using energy storage to participate in peak load regulation was implemented.

[0038] The second aspect of the present invention relates to a system for acquiring load regulation power of an energy storage device, the system is implemented by using a method for acquiring load regulation power of an energy storage device described in the first aspect of the present invention; and the system includes a prediction module and an adjustment module; wherein the acquisition module is used to acquire the maximum regulation power of the energy storage device and predict the future load curve using the historical load curve; the adjustment module is used to construct a load regulation objective function using the maximum regulation power and the future load curve, and solve the load regulation objective function by the quasi-Newton method to obtain the adjustable power of the energy storage device .

[0039] A third aspect of the present invention relates to a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method described in the first aspect of the present invention.

[0040] A fourth aspect of the present invention relates to a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of the method described in the first aspect of the present invention.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention is described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the technical solutions of the present invention still include contents that can modify or replace the specific embodiments of the present invention. Any modification or replacement that does not depart from the spirit and scope of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A method for obtaining load regulation power of an energy storage device, characterized in that: The method comprises the following steps: Collect the maximum regulation power of the energy storage device and use the historical load curve to predict the future load curve; The load regulation objective function is constructed using the maximum regulation power and future load curve, and the load regulation objective function is solved by the quasi-Newton method to obtain the adjustable power of the energy storage device. .

2. A method for obtaining load regulation power of an energy storage device according to claim 1, characterized in that: The method of using the historical load curve to predict the future load curve includes: Use autoregressive time series algorithm to fit historical load curves to obtain future load curves , The time to be predicted.

3. A method for obtaining load regulation power of an energy storage device according to claim 2, characterized in that: The method of constructing a load regulation objective function by using the maximum regulation power and the future load curve includes: The load regulation objective function is: ， In the formula, To regulate the goal; is the maximum regulating power of the energy storage device, which is a constant; and for The solution of time, and , is a constant.

4. A method for obtaining load regulation power of an energy storage device according to claim 3, characterized in that: The method of solving the load regulation objective function by using the quasi-Newton method includes: by is the initial range, is the step size, iterative setting Possible solutions of Obtaining iteration intervals from possible solutions using the quasi-Newton method , and then use the optimal solution interval as the range after one iteration, and repeatedly solve the optimal solution space until it meets the preset conditions; In the optimal solution space, is the number of the best possible solution at the first iteration.

5. A method for obtaining load regulation power of an energy storage device according to claim 4, characterized in that: The preset conditions are: The iteration interval for the iteration make Located in the interval middle, For the The number of the best possible solution at iteration .

6. A method for obtaining load regulation power of an energy storage device according to claim 5, characterized in that: Using the optimal solution calculate The intersection position of In the 24-hour shiftable time period, the intersection position includes at least one intersection position corresponding to the earliest time. The intersection position corresponding to the latest time .

7. A method for obtaining load regulation power of an energy storage device according to claim 6, characterized in that: In the period to The energy storage device generates an adjustment period during which the adjustable power of the energy storage device is used. , Generate energy storage and adjust power during the adjustment period ; In the period to The regulation power of the energy storage device in each period conform to: ， And, calculate the ,like ,but The regulated power at the moment is ,like ,but The regulated power at the moment is .

8. A system for acquiring load regulation power of an energy storage device, characterized in that: The system is implemented by using a method for acquiring load regulation power of an energy storage device as described in any one of claims 1 to 7; and, The system includes a prediction module and a regulation module; wherein, The acquisition module is used to acquire the maximum regulated power of the energy storage device and predict the future load curve using the historical load curve; The regulation module is used to construct a load regulation objective function using the maximum regulation power and the future load curve, and solve the load regulation objective function by the quasi-Newton method to obtain the adjustable power of the energy storage device. .

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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