Energy storage regulation and control method and device considering state of charge, equipment and medium

Abstract

The invention discloses an energy storage regulation and control method, device and equipment considering a state of charge, and a medium. The method comprises the following steps: acquiring an electric power parameter, a current state of charge, an inertial parameter and a current frequency parameter of an energy storage battery; wherein the electric power parameters comprise an initial charge state, a charge state maximum value and a charge state minimum value; the frequency parameters comprise a current frequency change rate and a current frequency deviation; the inertial parameters comprise an initial control coefficient and an additional parameter; determining a to-be-adjusted charging coefficient of the energy storage battery and a to-be-adjusted discharging coefficient of the energy storage battery according to the current charge state and the electric power parameters; determining a to-be-adjusted control coefficient according to the current frequency parameter, the initial control coefficient and the coefficient correction function; wherein the coefficient correction function is determined according to an inertial parameter and a current frequency parameter; and regulating and controlling the energy storage battery according to the to-be-adjusted charging coefficient, the to-be-adjusted discharging coefficient and the to-be-adjusted control coefficient.

Description

Technical Field

[0001] The present invention relates to the technical field of power system frequency regulation, and in particular to a method, device, equipment and medium for energy storage regulation taking the state of charge into consideration. Background Art

[0002] As more and more traditional units are gradually replaced by new energy units, the inertia level of the power system continues to decline, and active impact events under low inertia are becoming more and more severe. The frequency stability of the power system is facing severe challenges. In order to reduce the adverse effects of inertia level on the frequency response changes and safe and stable regulation means of the power system, the document "Adaptive Inertia Control Strategy of Virtual Synchronous Motor Controlled Distributed Power Sources under Frequency Disturbance" proposes an energy storage control strategy based on adaptive virtual inertia. Through the relationship between adaptive frequency change rate and virtual inertia, the charging and discharging of energy storage active power is improved, and the frequency stability of the system is improved. However, this inertial control still takes frequency information as the consideration object, and does not take into account the operating status of the energy storage itself, especially the charge state of the energy storage. It has certain limitations and cannot accurately judge the overall change trend of energy storage equipment participating in the frequency regulation of the power system, resulting in the problem of excessive charging and discharging of energy storage caused by only considering frequency problems during frequency regulation. Summary of the invention

[0003] The embodiments of the present invention provide a method, device, equipment and medium for energy storage control taking the state of charge into consideration, which can effectively solve the problem of excessive charge and discharge of energy storage caused by only considering the frequency problem in the prior art, and improve the stability of the power system.

[0004] An embodiment of the present invention provides a method for energy storage control considering the state of charge, including:

[0005] Obtaining power parameters, current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters include: initial state of charge, maximum state of charge and minimum state of charge; the frequency parameters include: current frequency change rate and current frequency deviation; the inertia parameters include: initial control coefficient and additional parameters;

[0006] Determining a charging coefficient to be adjusted for the energy storage battery and a discharging coefficient to be adjusted for the energy storage battery according to the current state of charge and the power parameter;

[0007] Determining the control coefficient to be adjusted according to the current frequency parameter, the initial control coefficient and the coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameter and the current frequency parameter;

[0008] The energy storage battery is regulated by the charging coefficient to be adjusted, the discharging coefficient to be adjusted and the control coefficient to be adjusted.

[0009] Further, the determining of the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter includes:

[0010] When the current state of charge is not greater than the minimum state of charge, the charging coefficient to be adjusted is a first coefficient, and the discharging coefficient to be adjusted is a second coefficient;

[0011] When the current state of charge is greater than the minimum state of charge and less than the initial state of charge, the charging coefficient to be adjusted is the third coefficient, and the discharging coefficient to be adjusted is the fourth coefficient;

[0012] When the current state of charge is greater than the initial state of charge and less than the maximum state of charge, the charging coefficient to be adjusted is the fourth coefficient, and the discharging coefficient to be adjusted is the third coefficient;

[0013] When the current state of charge is greater than the maximum state of charge, the charging coefficient to be adjusted is the second coefficient, and the discharging coefficient to be adjusted is the first coefficient;

[0014] Among them, the first coefficient is the upper limit of the charge and discharge coefficient of the energy storage battery, and the second coefficient is zero; the third coefficient is determined according to the current state of charge, the initial state of charge, the minimum state of charge and the first coefficient; the fourth coefficient is determined according to the current state of charge, the initial state of charge, the maximum state of charge and the first coefficient.

[0015] Furthermore, the third coefficient is specifically:

[0016]

[0017] Wherein, C1 represents the third coefficient; K max represents the first coefficient; S OC is the current state of charge; S OC0 is the initial charge state; S OCmin is the minimum state of charge.

[0018] Furthermore, the fourth coefficient is specifically:

[0019]

[0020] Wherein, C2 represents the fourth coefficient; K max represents the first coefficient; S OC is the current state of charge; S OC0 is the initial charge state; S OCmax is the maximum state of charge.

[0021] Furthermore, the coefficient correction function is specifically:

[0022]

[0023] Among them, K1 is the control coefficient to be adjusted; K d is the initial control coefficient; K is an additional parameter; is the current frequency change rate; Δf is the current frequency deviation.

[0024] Furthermore, it also includes:

[0025] Obtain the droop control coefficient of the energy storage battery;

[0026] The energy storage battery is regulated according to the control coefficient to be adjusted and the droop control coefficient.

[0027] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0028] An embodiment of the present invention provides an energy storage control device taking the state of charge into consideration, including: a data acquisition module, a coefficient adjustment module and an energy storage control module;

[0029] The data acquisition module is used to acquire power parameters, current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters include: initial state of charge, maximum state of charge and minimum state of charge; the frequency parameters include: current frequency change rate and current frequency deviation; the inertia parameters include: initial control coefficient and additional parameters;

[0030] The coefficient adjustment module is used to determine the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter; determine the control coefficient to be adjusted according to the current frequency parameter, the initial control coefficient and the coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameter and the current frequency parameter;

[0031] The energy storage control module is used to control the energy storage battery with the charging coefficient to be adjusted, the discharging coefficient to be adjusted and the control coefficient to be adjusted.

[0032] Further, the determining of the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter includes:

[0033] When the current state of charge is not greater than the minimum state of charge, the charging coefficient to be adjusted is a first coefficient, and the discharging coefficient to be adjusted is a second coefficient;

[0034] When the current state of charge is greater than the minimum state of charge and less than the initial state of charge, the charging coefficient to be adjusted is the third coefficient, and the discharging coefficient to be adjusted is the fourth coefficient;

[0035] When the current state of charge is greater than the initial state of charge and less than the maximum state of charge, the charging coefficient to be adjusted is the fourth coefficient, and the discharging coefficient to be adjusted is the third coefficient;

[0036] When the current state of charge is greater than the maximum state of charge, the charging coefficient to be adjusted is the second coefficient, and the discharging coefficient to be adjusted is the first coefficient;

[0037] Among them, the first coefficient is the upper limit of the charge and discharge coefficient of the energy storage battery, and the second coefficient is zero; the third coefficient is determined according to the current state of charge, the initial state of charge, the minimum state of charge and the first coefficient; the fourth coefficient is determined according to the current state of charge, the initial state of charge, the maximum state of charge and the first coefficient.

[0038] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the energy storage control method considering the charge state described in the above-mentioned embodiment of the invention is implemented.

[0039] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the energy storage control method considering the charge state described in the above-mentioned embodiment of the invention.

[0040] The following beneficial effects are achieved by implementing the present invention:

[0041] The present invention provides a method, device, equipment and medium for energy storage regulation considering the state of charge. The energy storage regulation method obtains the power parameters, current state of charge, inertia parameters and current frequency parameters of the energy storage battery, and then determines the charging coefficient to be adjusted and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameters while considering the charge transition state. Then, during energy storage regulation, the energy storage battery is regulated based on the determined charging coefficient to be adjusted and the discharging coefficient to be adjusted, so as to solve the problem of excessive charging and discharging of energy storage caused by only considering the frequency problem. Furthermore, in addition to considering the state of charge, the frequency parameters are also considered, and the control coefficient to be adjusted is determined through the current frequency parameters, the initial control coefficient and the coefficient correction function, and then the energy storage battery is regulated based on the control coefficient to be adjusted, so as to comprehensively analyze the factors affecting the regulation of the energy storage battery and improve the stability of the power system during the regulation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of a method for energy storage control taking the state of charge into consideration provided by one embodiment of the present invention.

[0043] Figure 2 It is an energy storage SOC adaptive curve diagram provided by an embodiment of the present invention.

[0044] Figure 3 It is a schematic diagram of the change of inertial response during a sudden load disturbance provided by an embodiment of the present invention.

[0045] Figure 4 It is a control strategy framework diagram provided by an embodiment of the present invention.

[0046] Figure 5 It is a schematic diagram of the values ​​of the additional inertia coefficient in different states provided by an embodiment of the present invention.

[0047] Figure 6 It is a schematic diagram of the values ​​of the optimized adaptive virtual inertia coefficient under different states provided by an embodiment of the present invention.

[0048] Figure 7 It is a structural schematic diagram of an energy storage control device taking charge state into consideration provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of 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.

[0050] like Figure 1 As shown, a method for energy storage control considering the state of charge is provided in one embodiment of the present invention, comprising:

[0051] Step S1: Acquire power parameters, current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters include: initial state of charge, maximum state of charge and minimum state of charge; the frequency parameters include: current frequency change rate and current frequency deviation; the inertia parameters include: initial control coefficient and additional parameters;

[0052] Step S2: determining the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter;

[0053] Step S3: determining the control coefficient to be adjusted according to the current frequency parameter, the initial control coefficient and the coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameter and the current frequency parameter;

[0054] Step S4: regulating the energy storage battery with the charging coefficient to be adjusted, the discharging coefficient to be adjusted and the control coefficient to be adjusted.

[0055] For step S1, first obtain the power parameters of the energy storage battery, including: initial charge state S OC0 , maximum value of state of charge S OCmax and the minimum state of charge S OCmin ; Current state of charge S of the energy storage battery OC ; Inertia parameters of energy storage battery, initial control coefficient K d and additional parameter K; frequency parameter, current frequency change rate And the current frequency deviation Δf.

[0056] For steps S2-S4, in order to better control the SOC state of each battery in the energy storage power station and avoid SOC crossing the limit, the power control coefficient can be dynamically adjusted according to the state of charge to increase the sensitivity of the frequency response environment to the change of energy storage charge. Therefore, it is first necessary to determine the charging coefficient to be adjusted and the discharging coefficient to be adjusted according to the relationship between the acquired power parameters and the current state of charge, so as to regulate the energy storage battery according to the charging coefficient to be adjusted and the discharging coefficient to be adjusted during regulation.

[0057] In a preferred embodiment, the method of determining the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter includes: when the current state of charge is not greater than the minimum state of charge, the charging coefficient to be adjusted is the first coefficient, and the discharging coefficient to be adjusted is the second coefficient; when the current state of charge is greater than the minimum state of charge and less than the initial state of charge, the charging coefficient to be adjusted is the third coefficient, and the discharging coefficient to be adjusted is the fourth coefficient; when the current state of charge is greater than the initial state of charge and less than the maximum state of charge, the charging coefficient to be adjusted is the fourth coefficient, and the discharging coefficient to be adjusted is the third coefficient; when the current state of charge is greater than the maximum state of charge, the charging coefficient to be adjusted is the second coefficient, and the discharging coefficient to be adjusted is the first coefficient; wherein the first coefficient is the upper limit of the charging and discharging coefficient of the energy storage battery, and the second coefficient is zero; the third coefficient is determined according to the current state of charge, the initial state of charge, the minimum state of charge, and the first coefficient; the fourth coefficient is determined according to the current state of charge, the initial state of charge, the maximum state of charge, and the first coefficient.

[0058] In a preferred embodiment, the third coefficient is specifically:

[0059]

[0060] Wherein, C1 represents the third coefficient; K max represents the first coefficient; S OC is the current state of charge; S OC0is the initial charge state; S OCmin is the minimum state of charge.

[0061] In a preferred embodiment, the fourth coefficient is specifically:

[0062]

[0063] Wherein, C2 represents the fourth coefficient; K max represents the first coefficient; S OC is the current state of charge; S OC0 is the initial charge state; S OCmax is the maximum state of charge.

[0064] Specifically, assume that the charging coefficient of the energy storage battery to be adjusted is K C , the discharge coefficient of the energy storage battery to be adjusted is K D , the above judgment can be transformed into the following expression:

[0065]

[0066]

[0067]

[0068]

[0069] Among them, under normal circumstances, the upper limit of the charge and discharge coefficient of the energy storage battery is K max Set to 1, S OCmin Take 0.1, S OCmax Take 0.9, S OC0 Take 0.5.

[0070] Energy storage SOC adaptive curve Figure 2 As shown in Figure 2, when the system frequency drops and the energy storage station has a surplus of electricity (i.e., S OC >S OCmax ), the charging coefficient K of the energy storage battery to be adjusted C The value is 0, the discharge coefficient K of the energy storage battery to be adjusted D The value is the upper limit of the charge and discharge coefficient K of the energy storage battery max , the energy storage power station performs active output at the maximum discharge speed to give priority to supporting the grid frequency and ensure the stability of the system frequency. OCmin OC OC0 ), the charging coefficient K of the energy storage battery to be adjusted C The value is C1, the discharge coefficient of the energy storage battery to be adjusted K D The value is C2. When the energy storage battery is relatively low in power (i.e. S​​OC0< S OC OCmax ), as the SOC of the energy storage battery decreases, the discharge coefficient K of the energy storage battery to be adjusted D Decreases rapidly as SOC decreases to S OCmin The discharge is stopped, and the charging coefficient K of the energy storage battery to be adjusted C The value is C2, the discharge coefficient of the energy storage battery to be adjusted K D The value is C1. OC ≤S OCmin The charging coefficient K of the energy storage battery to be adjusted C The value is the upper limit of the charge and discharge coefficient K of the energy storage battery max , the discharge coefficient K of the energy storage battery to be adjusted D The value is 0. The energy storage battery is regulated by the charge coefficient to be adjusted and the discharge coefficient to be adjusted determined in this way, taking into account the power demand of the power grid and the SCO maintenance effect of the energy storage battery, which not only ensures the frequency regulation capability of the energy storage, but also prevents the energy storage battery from being overcharged and discharged and affecting the service life of the energy storage battery itself.

[0071] For step S3 and step S4, the control coefficient to be adjusted is determined according to the current frequency parameter, the initial control coefficient and the coefficient correction function, and then the energy storage battery is regulated in combination with the charging coefficient to be adjusted and the discharging coefficient to be adjusted in step S2.

[0072] In order to make the energy storage actively respond to the frequency change of the system and optimize the problem of insufficient inertia in the system with high penetration rate of new energy, the energy storage is usually added with inertia and droop control to simulate the inertia response and primary frequency modulation process of the synchronous machine. In this control mode, the output power of the energy storage can be expressed as:

[0073]

[0074] Among them, ΔP f is the power response; K1 is the control coefficient; K2 is the droop control coefficient; is the current frequency change rate; Δf is the current frequency deviation.

[0075] ​Based on the output power function, it can be seen that by selecting reasonable values ​​for K1 and K2, the output level of the energy storage system can be controlled according to actual conditions. However, during the upward recovery of the grid frequency, an excessively large system inertia time constant will hinder the system frequency from quickly recovering to the nominal value (usually 50Hz). During frequency recovery, the inertia time constant of the system is generally as small as possible. Based on the above principles, when regulating the power response, the positive and negative signs of the additional parameters can be determined by the acceleration direction of the frequency, thereby suppressing overshoot and reducing the stable recovery time. During the system frequency recovery period, the energy storage power station can adopt a virtual "negative" inertia control framework, dividing the frequency regulation state into two states: speed control and most fuel-efficient control, so as to increase the speed of system frequency recovery. Specifically, combined with Figure 3 It can be seen that in the frequency drop state (i.e. ), the power response ΔP f <0, synchronous generators and new energy units can jointly provide inertia support, greatly reducing the inertia requirements of synchronous generators. ), the virtual negative inertia control detects the frequency change rate The positive and negative frequency deviation Δf is used to control the reaction of the additional parameter K, increase the system frequency change rate during the transient period, and increase the speed of system frequency recovery. ), the system expects the frequency to recover quickly to the steady-state value, in this way the virtual inertia coefficient can be kept unchanged in the steady-state condition.

[0076] Based on the above analysis, if Figure 4 As shown in the figure, by detecting the frequency change rate and taking its absolute value, and then through low-pass filtering, it is compared with the given threshold N to prevent system malfunction; at the same time, by detecting the positive and negative of the frequency change rate and the frequency deviation, the positive and negative actions of the additional parameter K are controlled, and finally superimposed on the initial control coefficient K d In the above equation, the adaptive control coefficient K1 to be adjusted can be obtained.

[0077] In a preferred embodiment, the coefficient correction function is specifically:

[0078]

[0079] Among them, K1 is the control coefficient to be adjusted; K d is the initial control coefficient; K is an additional parameter; is the current frequency change rate; Δf is the current frequency deviation.

[0080] In a preferred embodiment, the method further includes: obtaining a droop control coefficient of the energy storage battery; and regulating the energy storage battery according to the control coefficient to be adjusted and the droop control coefficient.

[0081] Specifically, the droop control coefficient K2 of the energy storage battery is obtained, and the energy storage battery is coordinated and regulated by the droop control coefficient K2 and the control coefficient K1 to be adjusted, so that the unit can exhibit better frequency regulation characteristics.

[0082] It should be added that the additional inertia coefficient (i.e., the control coefficient used in the existing method) takes values ​​in different states as follows: Figure 5 As shown in FIG. 1 , the values ​​of the adaptive virtual inertia coefficient (i.e., the control coefficient to be adjusted) optimized by the present invention in different states are as follows: Figure 6 As shown. Figure 5 The additional inertia coefficient control is adopted in the process, and its coefficient is generated in the form of a step, which is the main factor causing the fluctuation of the control. Figure 6 Adaptive virtual inertia coefficient is used to solve the problem Figure 5 The coefficient step problem is solved, fluctuations are reduced, and the performance is more stable. Therefore, by adjusting the control coefficient to be adjusted in the present invention, the energy storage battery can improve the system frequency response, respond more quickly when the frequency drops, and the total power supported by inertia is greater; it has a larger virtual inertia when the frequency drops, and reduces the virtual inertia when the frequency sends an overshoot, thereby extending the system response power time and reducing the time required for the system frequency to return to stability.

[0083] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0084] like Figure 7 As shown, an embodiment of the present invention provides an energy storage control device considering the state of charge, including: a data acquisition module, a coefficient adjustment module and an energy storage control module;

[0085] The data acquisition module is used to acquire power parameters, current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters include: initial state of charge, maximum state of charge and minimum state of charge; the frequency parameters include: current frequency change rate and current frequency deviation; the inertia parameters include: initial control coefficient and additional parameters;

[0086] The coefficient adjustment module is used to determine the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter; determine the control coefficient to be adjusted according to the current frequency parameter, the initial control coefficient and the coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameter and the current frequency parameter;

[0087] The energy storage control module is used to control the energy storage battery with the charging coefficient to be adjusted, the discharging coefficient to be adjusted and the control coefficient to be adjusted.

[0088] In a preferred embodiment, the step of determining the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter includes:

[0089] When the current state of charge is not greater than the minimum state of charge, the charging coefficient to be adjusted is a first coefficient, and the discharging coefficient to be adjusted is a second coefficient;

[0090] When the current state of charge is greater than the minimum state of charge and less than the initial state of charge, the charging coefficient to be adjusted is the third coefficient, and the discharging coefficient to be adjusted is the fourth coefficient;

[0091] When the current state of charge is greater than the initial state of charge and less than the maximum state of charge, the charging coefficient to be adjusted is the fourth coefficient, and the discharging coefficient to be adjusted is the third coefficient;

[0092] When the current state of charge is greater than the maximum state of charge, the charging coefficient to be adjusted is the second coefficient, and the discharging coefficient to be adjusted is the first coefficient;

[0093] Among them, the first coefficient is the upper limit of the charge and discharge coefficient of the energy storage battery, and the second coefficient is zero; the third coefficient is determined according to the current state of charge, the initial state of charge, the minimum state of charge and the first coefficient; the fourth coefficient is determined according to the current state of charge, the initial state of charge, the maximum state of charge and the first coefficient.

[0094] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0095] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0096] Based on the above method item embodiments, the present invention provides corresponding terminal device item embodiments.

[0097] An embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the energy storage control method considering the state of charge described in any one of the present invention is implemented.

[0098] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0099] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0100] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Med i aCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0101] Based on the above method item embodiments, the present invention provides a corresponding storage medium item embodiment.

[0102] An embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute any one of the energy storage control methods considering the state of charge described in the present invention.

[0103] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[0104] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for regulating energy storage taking into account the state of charge, characterized in that: include: Obtaining power parameters, current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters include: initial state of charge, maximum state of charge and minimum state of charge; the frequency parameters include: current frequency change rate and current frequency deviation; the inertia parameters include: initial control coefficient and additional parameters; Determining a charging coefficient to be adjusted for the energy storage battery and a discharging coefficient to be adjusted for the energy storage battery according to the current state of charge and the power parameter; Determining the control coefficient to be adjusted according to the current frequency parameter, the initial control coefficient and the coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameter and the current frequency parameter; The energy storage battery is regulated by the charging coefficient to be adjusted, the discharging coefficient to be adjusted and the control coefficient to be adjusted.

2. The energy storage control method considering the state of charge as claimed in claim 1, characterized in that: The step of determining the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter includes: When the current state of charge is not greater than the minimum state of charge, the charging coefficient to be adjusted is a first coefficient, and the discharging coefficient to be adjusted is a second coefficient; When the current state of charge is greater than the minimum state of charge and less than the initial state of charge, the charging coefficient to be adjusted is the third coefficient, and the discharging coefficient to be adjusted is the fourth coefficient; When the current state of charge is greater than the initial state of charge and less than the maximum state of charge, the charging coefficient to be adjusted is the fourth coefficient, and the discharging coefficient to be adjusted is the third coefficient; When the current state of charge is greater than the maximum state of charge, the charging coefficient to be adjusted is the second coefficient, and the discharging coefficient to be adjusted is the first coefficient; Among them, the first coefficient is the upper limit of the charge and discharge coefficient of the energy storage battery, and the second coefficient is zero; the third coefficient is determined according to the current state of charge, the initial state of charge, the minimum state of charge and the first coefficient; the fourth coefficient is determined according to the current state of charge, the initial state of charge, the maximum state of charge and the first coefficient.

3. The energy storage control method considering the state of charge as claimed in claim 2, characterized in that: The third coefficient is specifically: Wherein, C1 represents the third coefficient; K max represents the first coefficient; S OC is the current state of charge; S OC0 is the initial charge state; S OCmin is the minimum state of charge.

4. The energy storage control method considering the state of charge as claimed in claim 2, characterized in that: The fourth coefficient is specifically: Wherein, C2 represents the fourth coefficient; K max represents the first coefficient; S OC is the current state of charge; S OC0 is the initial charge state; S OCmax is the maximum state of charge.

5. The energy storage control method considering the state of charge as claimed in claim 1, characterized in that: The coefficient correction function is specifically: Among them, K1 is the control coefficient to be adjusted; K d is the initial control coefficient; K is an additional parameter; is the current frequency change rate; Δf is the current frequency deviation.

6. The energy storage control method considering the state of charge as claimed in claim 1, characterized in that: Also includes: Obtain the droop control coefficient of the energy storage battery; The energy storage battery is regulated according to the control coefficient to be adjusted and the droop control coefficient.

7. An energy storage control device considering the state of charge, characterized in that: include: Data acquisition module, coefficient adjustment module and energy storage control module; The data acquisition module is used to acquire power parameters, current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters include: initial state of charge, maximum state of charge and minimum state of charge; the frequency parameters include: current frequency change rate and current frequency deviation; the inertia parameters include: initial control coefficient and additional parameters; The coefficient adjustment module is used to determine the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter; determine the control coefficient to be adjusted according to the current frequency parameter, the initial control coefficient and the coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameter and the current frequency parameter; The energy storage control module is used to control the energy storage battery with the charging coefficient to be adjusted, the discharging coefficient to be adjusted and the control coefficient to be adjusted.

8. The energy storage control device considering the state of charge as claimed in claim 7, characterized in that: The step of determining the charging coefficient to be adjusted of the energy storage battery and the discharging coefficient to be adjusted of the energy storage battery according to the current state of charge and the power parameter includes: When the current state of charge is not greater than the minimum state of charge, the charging coefficient to be adjusted is a first coefficient, and the discharging coefficient to be adjusted is a second coefficient; When the current state of charge is greater than the minimum state of charge and less than the initial state of charge, the charging coefficient to be adjusted is the third coefficient, and the discharging coefficient to be adjusted is the fourth coefficient; When the current state of charge is greater than the initial state of charge and less than the maximum state of charge, the charging coefficient to be adjusted is the fourth coefficient, and the discharging coefficient to be adjusted is the third coefficient; When the current state of charge is greater than the maximum state of charge, the charging coefficient to be adjusted is the second coefficient, and the discharging coefficient to be adjusted is the first coefficient; Among them, the first coefficient is the upper limit of the charge and discharge coefficient of the energy storage battery, and the second coefficient is zero; the third coefficient is determined according to the current state of charge, the initial state of charge, the minimum state of charge and the first coefficient; the fourth coefficient is determined according to the current state of charge, the initial state of charge, the maximum state of charge and the first coefficient.

9. A device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a method for energy storage control taking the state of charge into consideration is implemented as described in any one of claims 1 to 6.

10. A medium, characterized in that The medium includes a stored computer program, wherein when the computer program is running, the device where the medium is located is controlled to execute the energy storage control method considering the state of charge as described in any one of claims 1 to 6.

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