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

Abstract

Disclosed in the present invention are an energy storage regulation method and apparatus considering a state of charge, and a device and a medium. The method comprises: acquiring power parameters, the current state of charge, inertia parameters and the current frequency parameters of an energy storage battery, wherein the power parameters include an initial state of charge, a maximum state-of-charge value and a minimum state-of-charge value, the frequency parameters include the current frequency change rate and the current frequency deviation, and the inertia parameters include an initial control coefficient and an additional parameter; on the basis of the current state of charge and the power parameters, determining a charging coefficient to be adjusted of the energy storage battery and a discharging coefficient to be adjusted of the energy storage battery; on the basis of the current frequency parameters, the initial control coefficient and a coefficient correction function, determining a control coefficient to be adjusted, wherein the coefficient correction function is determined on the basis of the inertia parameters and the current frequency parameters; and regulating the energy storage battery on the basis of said charging coefficient, said discharging coefficient and said control coefficient.

Description

A method and device for regulating energy storage considering state of charge, and a medium TECHNICAL FIELD

[0001] The present application relates to the field of power system frequency regulation, and in particular to a method and device for regulating energy storage considering state of charge, and a medium. BACKGROUND

[0002] With more and more traditional units being gradually replaced by new energy units, the inertia level of the power system continues to decrease, and active impact events under low inertia are becoming more and more serious, and the frequency stability of the power system is facing severe challenges. In order to reduce the adverse effects of inertia level on the change of power system frequency response and safety and stability regulation means, the document "Adaptive inertia control strategy of virtual synchronous motor control type distributed power supply under frequency disturbance" proposes a control strategy for energy storage based on adaptive virtual inertia, which improves the charging and discharging of energy storage active power through the relationship between adaptive frequency change rate and virtual inertia, and improves the frequency stability of the system. However, this inertia control still considers frequency information as the object, and does not consider the operating state of the energy storage itself, especially the state of charge of the energy storage, which has certain limitations and cannot accurately determine the overall trend of the energy storage device participating in the frequency regulation of the power system, resulting in the problem of excessive charging and discharging of the energy storage caused by only considering the frequency during frequency regulation. SUMMARY

[0003] The embodiments of the present application provide a method and device for regulating energy storage considering state of charge, and a medium, which can effectively solve the problem of excessive charging and discharging of energy storage caused by only considering frequency in the prior art, and improve the stability of the power system.

[0004] An embodiment of the present application provides a method for regulating energy storage considering state of charge, comprising:

[0005] obtaining power parameters, current state of charge, inertia parameters and current frequency parameters of an 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; and the inertia parameters include initial control coefficient and additional parameters;

[0006] determining an adjusted charging coefficient of the energy storage battery and an adjusted discharging coefficient of the energy storage battery according to the current state of charge and the power parameters;

[0007] determining an adjusted control coefficient according to the current frequency parameters, the initial control coefficient and a coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameters and the current frequency parameters;

[0008] regulating the energy storage battery by using the adjusted charging coefficient, the adjusted discharging coefficient and the adjusted control coefficient.

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

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

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

[0014] The first coefficient is an 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.

[0015] Further, the third coefficient is specifically:

[0016] 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 state of charge; S OCmin is the minimum state of charge.

[0017] Further, the fourth coefficient is specifically:

[0018] 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 state of charge; S OCmax is the maximum state of charge.

[0019] Further, the coefficient correction function is specifically:

[0020] Wherein, K1 is the to-be-adjusted control coefficient; K dis an initial control coefficient; K is an additional parameter; is a current frequency change rate; and Δf is a current frequency deviation.

[0021] Further, the method further comprises:

[0022] obtaining a droop control coefficient of the energy storage battery;

[0023] adjusting and controlling the energy storage battery according to the to-be-adjusted control coefficient and the droop control coefficient.

[0024] On the basis of the above-mentioned method embodiment, the application provides a device embodiment;

[0025] An embodiment of the application provides a device for adjusting and controlling an energy storage battery by considering a state of charge, which comprises a data acquisition module, a coefficient adjustment module and an energy storage adjustment and control module.

[0026] The data acquisition module is configured to acquire power parameters, a current state of charge, an inertia parameter and a current frequency parameter of the energy storage battery, wherein the power parameters comprise an initial state of charge, a maximum state of charge and a minimum state of charge; the frequency parameters comprise a current frequency change rate and a current frequency deviation; and the inertia parameter comprises an initial control coefficient and an additional parameter.

[0027] The coefficient adjustment module is configured to determine 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 state of charge and the power parameters; and determine a to-be-adjusted control coefficient according to the current frequency parameters, the initial control coefficient and a coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameter and the current frequency parameters.

[0028] The energy storage adjustment and control module is configured to adjust and control the energy storage battery by using the to-be-adjusted charging coefficient, the to-be-adjusted discharging coefficient and the to-be-adjusted control coefficient.

[0029] Further, the determination of the to-be-adjusted charging coefficient of the energy storage battery and the to-be-adjusted discharging coefficient of the energy storage battery according to the current state of charge and the power parameters comprises:

[0030] When the current state of charge is not greater than the minimum state of charge, the to-be-adjusted charging coefficient takes a first coefficient, and the to-be-adjusted discharging coefficient takes a second coefficient.

[0031] When the current state of charge is greater than the minimum state of charge and less than the initial state of charge, the to-be-adjusted charging coefficient takes a third coefficient, and the to-be-adjusted discharging coefficient takes a fourth coefficient.

[0032] When the current state of charge is greater than the initial state of charge and less than the maximum state of charge, the to-be-adjusted charging coefficient is valued as the fourth coefficient, and the to-be-adjusted discharging coefficient is valued as the third coefficient;

[0033] When the current state of charge is greater than the maximum state of charge, the to-be-adjusted charging coefficient is valued as the second coefficient, and the to-be-adjusted discharging coefficient is valued as the first coefficient;

[0034] The first coefficient is an 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; and 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.

[0035] Another embodiment of the present application provides a terminal device, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the energy storage regulation method considering the state of charge according to the above-mentioned embodiment of the present application when executing the computer program.

[0036] Another embodiment of the present application provides a storage medium, comprising a stored computer program, wherein the device where the storage medium is located executes the energy storage regulation method considering the state of charge according to the above-mentioned embodiment of the present application when the computer program runs.

[0037] The present application has the following beneficial effects:

[0038] The present application provides an energy storage regulation method, device, equipment and medium considering the state of charge, which acquires the power parameter, the current state of charge, the inertia parameter and the current frequency parameter of the energy storage battery, and then determines the to-be-adjusted charging coefficient of the energy storage battery and the to-be-adjusted discharging coefficient of the energy storage battery according to the current state of charge and the power parameter in consideration of the state of charge, and then regulates the energy storage battery based on the determined to-be-adjusted charging coefficient and to-be-adjusted discharging coefficient in the energy storage regulation, so as to solve the problem of excessive charging and discharging of energy storage caused by only considering the frequency; further, in addition to considering the state of charge, the frequency parameter is also considered, the to-be-adjusted control coefficient is determined through the current frequency parameter, the initial control coefficient and the coefficient correction function, and then the energy storage battery is regulated based on the to-be-adjusted control coefficient, so as to comprehensively regulate the influencing factors of the energy storage battery, and improve the stability of the power system in the regulation process. BRIEF DESCRIPTION OF DRAWINGS

[0039] Fig. 1 is a flow diagram of an energy storage regulation method considering the state of charge according to an embodiment of the present application.

[0040] Fig. 2 is a graph of an adaptive SOC curve provided by an embodiment of the present application.

[0041] Fig. 3 is a schematic diagram of inertia response changes when a load mutation disturbance occurs, according to an embodiment of the present application.

[0042] Fig. 4 is a framework diagram of a regulation strategy, according to an embodiment of the present application.

[0043] Fig. 5 is a schematic diagram of values of an additional inertia coefficient in different states, according to an embodiment of the present application.

[0044] Fig. 6 is a schematic diagram of values of an optimized adaptive virtual inertia coefficient in different states, according to an embodiment of the present application.

[0045] Fig. 7 is a structural schematic diagram of a storage regulation device considering state of charge, according to an embodiment of the present application. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0047] As shown in Fig. 1, a storage regulation method considering state of charge is provided by an embodiment of the present application, which includes the following steps.

[0048] Step S1: obtaining power parameters, current state of charge, inertia parameters and current frequency parameters of a 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; and the inertia parameters include initial control coefficient and additional parameters.

[0049] Step S2: determining a to-be-adjusted charging coefficient of the storage battery and a to-be-adjusted discharging coefficient of the storage battery according to the current state of charge and the power parameters.

[0050] Step S3: determining a to-be-adjusted control coefficient according to the current frequency parameters, the initial control coefficient and a coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameters and the current frequency parameters.

[0051] Step S4: regulating the storage battery by using the to-be-adjusted charging coefficient, the to-be-adjusted discharging coefficient and the to-be-adjusted control coefficient.

[0052] For step S1, first, the power parameters of the storage battery are obtained, including initial state of charge S OC0, maximum state of charge S OCmax and minimum state of charge S OCmin ; current state of charge S OC of the energy storage battery; inertia parameter, initial control coefficient K d and additional parameter K; frequency parameter, current frequency change rate and current frequency deviation Δf.

[0053] For steps S2-S4, in order to better control the SOC state of each battery in the energy storage power station, while avoiding SOC out-of-bounds, the power control coefficient can be adjusted dynamically according to the state of charge, so as to increase the sensitivity of the frequency response environment to the change of the state of charge of the energy storage. Therefore, first, the to-be-adjusted charging coefficient and the to-be-adjusted discharging coefficient of the energy storage battery are determined according to the relationship between the obtained power parameter and the current state of charge, so as to regulate and control the energy storage battery according to the to-be-adjusted charging coefficient and the to-be-adjusted discharging coefficient during regulation and control.

[0054] In a preferred embodiment, the to-be-adjusted charging coefficient of the energy storage battery and the to-be-adjusted discharging coefficient of the energy storage battery are determined according to the current state of charge and the power parameter, comprising: when the current state of charge is not greater than the minimum state of charge, the to-be-adjusted charging coefficient takes a first coefficient and the to-be-adjusted discharging coefficient takes 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 to-be-adjusted charging coefficient takes a third coefficient and the to-be-adjusted discharging coefficient takes a 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 to-be-adjusted charging coefficient takes the fourth coefficient and the to-be-adjusted discharging coefficient takes the third coefficient; when the current state of charge is greater than the maximum state of charge, the to-be-adjusted charging coefficient takes the second coefficient and the to-be-adjusted discharging coefficient takes the first coefficient; wherein the first coefficient is the upper limit of the charge-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; and 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.

[0055] In a preferred embodiment, the third coefficient is specifically:

[0056] 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 state of charge; S OCmin is the minimum state of charge.

[0057] In a preferred embodiment, the fourth coefficient is specifically:

[0058] wherein C2 represents a fourth coefficient; K max represents a first coefficient; S OC is a current state of charge; S OC0 is an initial state of charge; S OCmax is a maximum state of charge.

[0059] Specifically, assuming that the to-be-adjusted charging coefficient of the energy storage battery is K C , and the to-be-adjusted discharging coefficient of the energy storage battery is K D , the above judgment can be converted into the following expression:

[0060] wherein in a normal case, the upper limit K max of the charging and discharging coefficient of the energy storage battery is set to 1, S OCmin is taken as 0.1, S OCmax is taken as 0.9, and S OC0 is taken as 0.5.

[0061] The energy storage SOC self-adaptive curve is shown in FIG. 2. It can be seen that when the system frequency drops and the energy storage power station has a surplus (i.e., S OC > S OCmax ), the to-be-adjusted charging coefficient K C of the energy storage battery is taken as 0, the to-be-adjusted discharging coefficient K D of the energy storage battery is taken as the upper limit K max of the charging and discharging coefficient of the energy storage battery, and the energy storage power station performs active power output at the maximum discharging speed to preferentially support the grid frequency and ensure the system frequency stability. When the energy storage battery has a relatively sufficient power (i.e., S OCmin < S OC < S OC0 ), the to-be-adjusted charging coefficient K C of the energy storage battery is taken as C1, and the to-be-adjusted discharging coefficient K D of the energy storage battery is taken as C2. When the energy storage battery has a relatively insufficient power (i.e., S OC0< < S OC < S OCmax ), as the energy storage battery power SOC decreases, the to-be-adjusted discharging coefficient K D of the energy storage battery rapidly decreases, and the discharging stops when the SOC decreases to S OCmin , at which time the to-be-adjusted charging coefficient K C of the energy storage battery is taken as C2, and the to-be-adjusted discharging coefficient K D of the energy storage battery is taken as C1. When S OC ≤ S OCmin , the to-be-adjusted charging coefficient K C of the energy storage battery is taken as the upper limit K max, the to-be-adjusted discharge coefficient K of the energy storage battery D is 0. The to-be-adjusted charge coefficient and the to-be-adjusted discharge coefficient determined in this way control the energy storage battery, 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 modulation capability of the energy storage, but also prevents the energy storage battery from being overcharged and discharged, thereby affecting the service life of the energy storage battery.

[0062] For steps S3 and S4, the to-be-adjusted control coefficient is determined according to the current frequency parameter, the initial control coefficient, and the coefficient correction function. Then, the energy storage battery is controlled in combination with the to-be-adjusted charge coefficient and the to-be-adjusted discharge coefficient in step S2.

[0063] In order to make the energy storage actively respond to the frequency change of the system and optimize the problem of insufficient inertia of the new energy high penetration system, inertia and droop control are usually added to the energy storage to simulate the inertia response and primary frequency modulation process of the synchronous machine. Under this control mode, the output power of the energy storage can be represented as:

[0064] wherein, ΔP f is the power response; K1 is the control coefficient; K2 is the droop control coefficient; is the current frequency change rate; and Δf is the current frequency deviation.

[0065] Based on the output power function, it can be known that by reasonably selecting K1 and K2, the output level of the energy storage system can be controlled according to the actual situation. However, during the recovery of the power grid frequency, excessive system inertia time constant will hinder the rapid recovery of the system frequency to the nominal value (usually 50 Hz). During the frequency recovery period, the smaller the inertia time constant of the system is, the better. Based on the above principle, when the power response is controlled, the positive and negative signs of the additional parameters can be determined by the acceleration direction of the frequency, so as to suppress the overshoot and reduce the stable recovery time. During the system frequency recovery period, the energy storage station can adopt a virtual "negative" inertia control framework, and divide the frequency modulation state into speed control and fuel saving control states to improve the speed of system frequency recovery. Specifically, as shown in FIG. 3, when in the frequency drop state (i.e. ), the power response ΔP f <0, the synchronous generator and the new energy unit can jointly provide inertia support, greatly reducing the inertia demand of the synchronous generator. When in the frequency rise state (i.e. ), the virtual negative inertia control controls the counteraction of the additional parameter K by detecting the positive and negative of the frequency change rate and the frequency deviation Δf, so as to improve the system frequency change rate during the transient state and improve the speed of system frequency recovery. When in the recovery state (i.e. ) at this time, the system expects that the frequency can quickly recover to the steady state value, in this way, the virtual inertia coefficient in the steady state can be kept unchanged.

[0066] Based on the above analysis, as shown in Figure 4, by detecting the frequency change rate and taking its absolute value, then through low-pass filtering, comparing with a given threshold N to prevent the system from malfunctioning; 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 to the initial control coefficient K d In the middle, that is, the adaptive control coefficient to be adjusted K1 can be obtained.

[0067] In a preferred embodiment, the coefficient correction function is specifically:

[0068] Wherein, K1 is the control coefficient to be adjusted; K d is the initial control coefficient; K is the additional parameter; is the current frequency change rate; Δf is the current frequency deviation.

[0069] In a preferred embodiment, it further includes: obtaining the droop control coefficient of the energy storage battery; and regulating and controlling the energy storage battery according to the control coefficient to be adjusted and the droop control coefficient.

[0070] 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 to be adjusted K1, so that the unit can exhibit better frequency modulation characteristics.

[0071] It should be noted that the additional inertia coefficient (that is, the control coefficient used in the existing mode) takes values in different states as shown in Figure 5, and the adaptive virtual inertia coefficient (that is, the control coefficient to be adjusted) optimized by the present application takes values in different states as shown in Figure 6. As can be seen from the figures, in Figure 5, the additional inertia coefficient is used for control, and the coefficient takes the form of a step, which is the main factor causing fluctuations in control. In Figure 6, the adaptive virtual inertia coefficient is used, which solves the problem of coefficient step in Figure 5, reduces fluctuations, and has more stable performance. Therefore, by regulating the energy storage battery with the control coefficient to be adjusted, the system frequency response can be improved, the response is faster when the frequency drops, the total amount of inertia support power is more, and when the frequency drop occurs, the virtual inertia is greater, and when the frequency is sent to overshoot, the virtual inertia is reduced, thereby prolonging the system response power time and reducing the time required for the system frequency to recover to stable.

[0072] On the basis of the above-mentioned method embodiment, the present application correspondingly provides a device embodiment.

[0073] As shown in Figure 7, an embodiment of the present application provides a kind of energy storage regulation and control device considering state of charge, comprising: data acquisition module, coefficient adjustment module and energy storage regulation and control module.

[0074] The data acquisition module is used to acquire the power parameters, current state of charge, inertial 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 inertial parameters include: initial control coefficient and additional parameters;

[0075] The coefficient adjustment module is used to determine the charging coefficient and the discharging coefficient of the energy storage battery to be adjusted based on the current state of charge and the power parameters; and to determine the control coefficient to be adjusted based on the current frequency parameters, the initial control coefficient, and the coefficient correction function; wherein the coefficient correction function is determined based on the inertial parameters and the current frequency parameters.

[0076] The energy storage regulation module is used to regulate the energy storage battery using the adjustable charging coefficient, adjustable discharging coefficient, and adjustable control coefficient.

[0077] In a preferred embodiment, determining the adjustable charging coefficient and the adjustable discharging coefficient of the energy storage battery based on the current state of charge and the electrical parameters includes:

[0078] When the current state of charge is not greater than the minimum state of charge, the charging coefficient to be adjusted is taken as the first coefficient, and the discharging coefficient to be adjusted is taken as the second coefficient.

[0079] 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.

[0080] When the current state of charge is greater than the initial state of charge but 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.

[0081] 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.

[0082] Wherein, the first coefficient is the upper limit of the charge and discharge coefficient of the energy storage battery, the second coefficient is zero; the third coefficient is determined based on the current state of charge, the initial state of charge, the minimum state of charge, and the first coefficient; the fourth coefficient is determined based on the current state of charge, the initial state of charge, the maximum state of charge, and the first coefficient.

[0083] It should be noted that the apparatus embodiments described above are only illustrative, and the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs. In addition, the connection relationship between the modules in the apparatus embodiments provided by the present application indicates that there is a communication connection between them, which can be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0084] Those skilled in the art can clearly understand that, for the convenience and brevity, the specific working process of the above-described apparatus can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0085] On the basis of the foregoing method embodiments, the present application correspondingly provides terminal device embodiments.

[0086] An embodiment of the present application 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, when the processor executes the computer program, a method for considering state of charge of energy storage regulation according to any one of the present application is realized.

[0087] The terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The terminal device can include, but is not limited to, a processor and a memory.

[0088] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor and the like. The processor is the control center of the terminal device, and connects all parts of the terminal device through various interfaces and lines.

[0089] 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 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 by a function, and the like; and the data storage area can store data created according to the use of the mobile phone and the like. In addition, the memory can include a high-speed random access memory, and can also include a nonvolatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory devices.

[0090] On the basis of the above-mentioned method embodiment, the application provides a storage medium embodiment.

[0091] An embodiment of the application provides a storage medium, which comprises a stored computer program, wherein when the computer program runs, the device where the storage medium is located performs a state-of-charge considering energy storage regulation method.

[0092] 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 a processor, the steps of each method embodiment described above can be realized. The computer program comprises computer program code, which can be in the form of source code, object code, an executable file or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal and a software distribution medium, etc.

[0093] The above-mentioned is the preferred embodiment of the application, and it should be pointed out that, for those skilled in the art, without departing from the principle of the application, a number of improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the application.

Claims

1. A method for energy storage regulation considering state of charge, characterized in that, The method comprises the following steps: obtaining power parameters, a current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters comprise an initial state of charge, a maximum state of charge and a minimum state of charge; the frequency parameters comprise a current frequency change rate and a current frequency deviation; the inertia 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 state of charge and the power parameters; determining a to-be-adjusted control coefficient according to the current frequency parameters, the initial control coefficient and a coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameters and the current frequency parameters; controlling the energy storage battery by using the to-be-adjusted charging coefficient, the to-be-adjusted discharging coefficient and the to-be-adjusted control coefficient.

2. The energy storage regulation method considering state of charge according to claim 1, wherein, The method of determining the to-be-adjusted charging coefficient of the energy storage battery and the to-be-adjusted discharging coefficient of the energy storage battery according to the current state of charge and the power parameters comprises the following steps: when the current state of charge is not greater than the minimum state of charge, the to-be-adjusted charging coefficient takes a first coefficient and the to-be-adjusted discharging coefficient takes 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 to-be-adjusted charging coefficient takes a third coefficient and the to-be-adjusted discharging coefficient takes a 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 to-be-adjusted charging coefficient takes the fourth coefficient and the to-be-adjusted discharging coefficient takes the third coefficient; when the current state of charge is greater than the maximum state of charge, the to-be-adjusted charging coefficient takes the second coefficient and the to-be-adjusted discharging coefficient takes the first coefficient; wherein the first coefficient is an upper limit of the charging and discharging coefficient of the energy storage battery, 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, and 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 regulation method of claim 2, wherein, The third coefficient, in particular: wherein C1 represents a third coefficient; K max represents a first coefficient; S OC is a current state of charge; S OC0 is an initial state of charge; S OCmin is a minimum value of state of charge.

4. The energy storage regulation method considering state of charge according to claim 2, wherein, The fourth coefficient, in particular: where C2 represents a fourth coefficient; K max represents a first coefficient; S OC is a current state of charge; S OC0 is an initial state of charge; S OCmax is a maximum state of charge.

5. The energy storage regulation method of claim 1, wherein, The coefficient correction function is specifically: wherein K1 is a control coefficient to be adjusted; K d is an initial control coefficient; K is an additional parameter; The current frequency change rate is Δf.

6. The energy storage regulation method of claim 1, wherein, The method further comprises the following steps: obtaining a droop control coefficient of the energy storage battery; controlling the energy storage battery by using the to-be-adjusted control coefficient and the droop control coefficient.

7. A state-of-charge considering energy storage regulating device, characterized by, The method comprises the following steps: a data acquisition module, a coefficient adjustment module and an energy storage control module; the data acquisition module is configured to obtain power parameters, a current state of charge, inertia parameters and current frequency parameters of the energy storage battery; wherein the power parameters comprise an initial state of charge, a maximum state of charge and a minimum state of charge; the frequency parameters comprise a current frequency change rate and a current frequency deviation; the inertia parameters comprise an initial control coefficient and an additional parameter; the coefficient adjustment module is configured to determine 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 state of charge and the power parameters; and determine a to-be-adjusted control coefficient according to the current frequency parameters, the initial control coefficient and a coefficient correction function; wherein the coefficient correction function is determined according to the inertia parameters and the current frequency parameters. The energy storage regulation module is configured to regulate 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.

8. The energy storage regulating device considering state of charge according to claim 7, characterized in that, The to-be-adjusted charging coefficient and the to-be-adjusted discharging coefficient of the energy storage battery are determined according to the current state of charge and the power parameter, and the determination includes: When the current state of charge is not greater than the minimum state of charge, the to-be-adjusted charging coefficient is a first coefficient, and the to-be-adjusted discharging coefficient 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 to-be-adjusted charging coefficient is a third coefficient, and the to-be-adjusted discharging coefficient is a 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 to-be-adjusted charging coefficient is the fourth coefficient, and the to-be-adjusted discharging coefficient is the third coefficient; When the current state of charge is greater than the maximum state of charge, the to-be-adjusted charging coefficient is the second coefficient, and the to-be-adjusted discharging coefficient is the first coefficient; The first coefficient is an 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; and 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. An apparatus, comprising: The medium includes a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the state-of-charge considering energy storage regulation method according to any one of claims 1 to 6 when executing the computer program.

10. A medium characterized by, 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 state-of-charge considering energy storage regulation method according to any one of claims 1 to 6.

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