A parameter optimization method and system for energy storage battery participating in secondary frequency modulation of power grid

Abstract

The present invention discloses a parameter optimization method and system for energy storage batteries participating in secondary frequency modulation of a power grid. The present invention obtains energy storage battery parameters from a power grid area control deviation signal, screens the energy storage battery parameters according to the benefit values ​​of the energy storage battery parameters participating in secondary frequency modulation, optimizes the energy storage battery parameters according to the effect index values ​​of the screened energy storage battery parameters participating in secondary frequency modulation, enhances the stability and accuracy of the secondary frequency modulation process of the energy storage battery, enhances the power grid frequency adjustment capability of the energy storage battery, and improves the frequency modulation processing capability and electric power energy control capability of the energy storage battery and power grid units as a whole.

Description

Technical Field

[0001] The invention relates to a parameter optimization method and system for energy storage batteries participating in secondary frequency modulation of a power grid, belonging to the technical field of power grids. Background Art

[0002] With the continuous development of new electric energy, electric power resources have become an indispensable resource for people's production and life. Therefore, the application scope of electric power resources is becoming wider and wider, and some problems have also emerged accordingly, especially the instability of large-scale power grid units. In this regard, the combined application technology of energy storage batteries and power grids has received widespread attention.

[0003] At present, in order to make the energy storage battery and the power grid unit achieve a higher degree of adaptability and realize more precise control of the power grid frequency adjustment, the energy storage battery can be subjected to secondary frequency regulation. There will be certain information errors in the process of secondary frequency regulation. In order to enhance the stability and accuracy of the secondary frequency regulation process of the energy storage battery, a parameter optimization method for the energy storage battery to participate in the secondary frequency regulation of the power grid is urgently needed. Summary of the invention

[0004] The present invention provides a parameter optimization method and system for energy storage batteries participating in secondary frequency modulation of a power grid, which solves the problems disclosed in the background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A parameter optimization method for energy storage batteries participating in secondary frequency modulation of a power grid, comprising:

[0007] Extracting power grid area control deviation signal;

[0008] Decompose the power grid area control deviation signal to obtain the energy storage battery parameters;

[0009] Evaluate the benefit value of each energy storage battery parameter participating in secondary frequency regulation;

[0010] Screen the parameters of energy storage batteries according to the benefit value;

[0011] Evaluate the effect index values ​​of the selected energy storage battery parameters participating in secondary frequency modulation;

[0012] According to the effect index value and preset rules, the parameters of the energy storage batteries participating in the secondary frequency regulation of the power grid are optimized.

[0013] After extracting the power grid area control deviation signal, the method further includes: screening the power grid area control deviation signal.

[0014] Screening of power grid area control deviation signals, including:

[0015] Detecting the power grid area control deviation signal to obtain the detection index of the power grid area control deviation signal;

[0016] If the detection index is not within the range of (0,1), the control deviation signal of the power grid area is eliminated.

[0017] The calculation formula of the power grid area control deviation signal detection index is:

[0018]

[0019] Among them, J is the power grid area control deviation signal detection index, S ACE is the power grid area control deviation signal, p E 、p G are the power capacity and output frequency of the energy storage battery respectively, and q is the node voltage of the power grid, the energy storage capacity, and the sequence length of the energy storage charging and discharging current signal.

[0020] Decomposing the power grid area control deviation signal to obtain energy storage battery parameters includes: performing empirical mode decomposition on the power grid area control deviation signal to obtain energy storage battery parameters.

[0021] The formula for calculating the benefit value is:

[0022]

[0023] Among them, N RES is the benefit value of the energy storage battery parameters participating in the secondary frequency regulation, R y is the annual benefit of all energy storage batteries involved in secondary frequency regulation, r i is the net benefit value of the energy storage battery participating in the secondary frequency regulation, T LCC It is the total time that the energy storage battery can be used.

[0024] The calculation formula of effect index value is:

[0025]

[0026] Among them, S ACE is the power grid area control deviation signal, p E 、p G are the power capacity and output frequency of the energy storage battery, P is the sequence length of the power grid area control deviation signal, J 1 It is the effect index value of the selected energy storage battery parameters participating in secondary frequency modulation.

[0027] The preset rule is: select the energy storage battery parameters corresponding to the maximum effect index value to participate in the secondary frequency regulation of the power grid.

[0028] A parameter optimization system for energy storage batteries participating in secondary frequency regulation of a power grid, comprising:

[0029] Signal extraction module: extracts power grid area control deviation signal;

[0030] Parameter acquisition module: decomposes the power grid area control deviation signal to obtain the energy storage battery parameters;

[0031] Benefit evaluation module: evaluates the benefit value of each energy storage battery parameter participating in secondary frequency regulation;

[0032] Screening module: Screening energy storage battery parameters according to benefit value;

[0033] Effect evaluation module: evaluates the effect index value of the selected energy storage battery parameters participating in the secondary frequency modulation;

[0034] Selection module: Optimize the parameters of energy storage batteries participating in the secondary frequency regulation of the power grid according to the effect index value and preset rules.

[0035] A computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, enable the computing device to execute a parameter optimization method for energy storage batteries participating in secondary frequency regulation of a power grid.

[0036] The beneficial effects achieved by the present invention are as follows: the present invention obtains energy storage battery parameters from the power grid area control deviation signal, screens the energy storage battery parameters according to the benefit values ​​of the energy storage battery parameters participating in the secondary frequency modulation, optimizes the energy storage battery parameters according to the effect index values ​​of the screened energy storage battery parameters participating in the secondary frequency modulation, enhances the stability and accuracy of the secondary frequency modulation process of the energy storage battery, enhances the power grid frequency adjustment capability of the energy storage battery, and improves the frequency modulation processing capability and electric power energy control capability of the energy storage battery and the power grid unit as a whole. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a flow chart of the method of the present invention;

[0038] Figure 2 is the frequency deviation curve;

[0039] Figure 3 is the energy storage processing curve;

[0040] Figure 4 For the comparison of anti-interference effect. DETAILED DESCRIPTION

[0041] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0042] like Figure 1 As shown, a parameter optimization method for energy storage batteries participating in secondary frequency regulation of a power grid comprises the following steps:

[0043] Step 1, extracting the power grid area control deviation signal (ACE signal);

[0044] Step 2, decomposing the power grid area control deviation signal to obtain energy storage battery parameters;

[0045] Step 3, evaluating the benefit value of each energy storage battery parameter participating in secondary frequency regulation;

[0046] Step 4: Screen the energy storage battery parameters according to the benefit value;

[0047] Step 5, evaluating the effect index value of the selected energy storage battery parameters participating in the secondary frequency modulation;

[0048] Step 6: Optimize the parameters of the energy storage batteries participating in the secondary frequency regulation of the power grid according to the effect index value and preset rules.

[0049] The above method obtains energy storage battery parameters from the power grid area control deviation signal, screens the energy storage battery parameters according to the benefit value of the energy storage battery parameters participating in the secondary frequency regulation, and optimizes the energy storage battery parameters according to the effect index value of the screened energy storage battery parameters participating in the secondary frequency regulation, thereby enhancing the stability and accuracy of the energy storage battery secondary frequency regulation process, enhancing the power grid frequency adjustment capability of the energy storage battery, and improving the frequency regulation processing capability and power energy control capability of the energy storage battery and the power grid unit as a whole.

[0050] The power grid area control deviation signal, namely the ACE signal, takes into account parameters such as frequency changes and exchange power changes between interconnected power systems. It is a commonly used signal in the secondary frequency regulation of the power grid and can be directly obtained.

[0051] After obtaining the ACE signal, it needs to be screened to eliminate the useless parts, as follows:

[0052] 1) Detecting the ACE signal to obtain a detection index of the ACE signal;

[0053]

[0054] Among them, J is the detection index of ACE signal, S ACE is the ACE signal, p E 、p G are the power capacity and output frequency of the energy storage battery respectively, and q is the node voltage of the power grid, the energy storage capacity, and the sequence length of the energy storage charging and discharging current signal.

[0055] 3) If the detection index is not within the range of (0,1), the ACE signal is discarded, that is, only the ACE signal within the range of (0,1) can participate in the subsequent process.

[0056] Taking into account the particularity of the energy storage battery itself, the matching grid dynamic parameters are adjusted according to the battery performance characteristics, and the ACE signal after the above screening is subjected to empirical mode decomposition to obtain the energy storage battery parameters, which are as follows:

[0057] The ACE signal can be decomposed into:

[0058]

[0059] Among them, S ACE (t) is the ACE signal of the energy storage battery parameter t, t includes the rated voltage, rated capacity and discharge current, I IMF.i(t) is the intrinsic mode function, i is the operating time of the energy storage battery in the power grid, r n (t) is the residual component of the function, that is, the residual signal.

[0060] After the above decomposition, the energy storage battery parameters are obtained. Assuming that each parameter participates in the secondary frequency regulation, the benefit value of each parameter participating in the secondary frequency regulation can be calculated. The specific formula is as follows:

[0061]

[0062] Among them, N RES is the benefit value of the energy storage battery parameters participating in the secondary frequency regulation, R y The annual benefit of all energy storage batteries involved in secondary frequency regulation is set based on the specific application environment and original benefit of the energy storage battery. i is the net benefit value of the energy storage battery participating in the secondary frequency regulation, T LCC It is the total time that the energy storage battery can be used.

[0063] Benefit value assessment involves many issues, including not only economic benefits, but also the impact of the secondary frequency modulation of energy storage batteries on grid capacity, energy consumption, efficiency adjustment and other aspects.

[0064] The energy storage battery parameters are screened based on the benefit value, that is, the energy storage battery parameters with poor benefit values ​​are eliminated, and then the remaining energy storage battery parameters are assumed to participate in the secondary frequency modulation, and the effect index value is calculated according to the following formula:

[0065] The calculation formula of effect index value is:

[0066]

[0067] Where P is the sequence length of the power grid area control deviation signal, J 1 It is the effect index value of the selected energy storage battery parameters participating in secondary frequency modulation.

[0068] The effect index values ​​are sorted, and the energy storage battery parameters corresponding to the maximum effect index value are selected to participate in the secondary frequency regulation of the power grid.

[0069] The experiment was conducted with the parameters in Table 1 (fixed grid environment parameters) to detect the step disturbances of the traditional grid units and the energy storage battery units after frequency modulation in the simulation experiment.

[0070]

[0071]

[0072] (1) Frequency deviation experimental analysis

[0073] according to Figure 2 It can be seen that the grid frequency change deviation of the energy storage battery unit after the secondary adjustment is lower, and the output of the energy storage battery has been in a relatively stable state; while the frequency change deviation of the traditional battery unit is large, the battery output is small, and the recovery ability is weak; among them, the traditional method is a method in which the energy storage battery parameters are fixed parameters.

[0074] (2) Analysis of emergency treatment of energy storage batteries

[0075] analyze Figure 3 It can be seen that in emergency frequency modulation situations, energy storage batteries react faster and more sensitively, can directly receive the transmission of parameter information, and the parameter processing and analysis process is faster and the results are more accurate. Compared with traditional battery units, the overall efficiency is higher and the adaptability to the grid frequency domain is higher.

[0076] (3) Anti-interference experimental analysis

[0077] Conduct continuous disturbance experiments on energy storage battery units, and use interference signals to continuously interfere with the frequency regulation units of the battery power grid. Figure 4 The higher the anti-interference coefficient, the better the anti-interference effect of frequency modulation parameter optimization. The experimental results show that under continuous signal interference, the energy storage battery after parameter optimization has stronger processing ability in the frequency modulation method, which can keep the frequency adjustment deviation within a very small range, and has stronger stability and data processing accuracy than traditional battery units.

[0078] From the experiment, it can be seen that compared with traditional power grid units, energy storage batteries have stronger frequency regulation processing capabilities, and the frequency regulation deviation is lower when facing continuous signal interference. It is more stable and more accurate than traditional power grid units. The research on the optimization of energy storage batteries participating in the secondary frequency regulation of the power grid has a certain reference role in the related fields of energy storage battery frequency regulation, which is conducive to promoting the renewal and development of energy storage batteries and power grid facilities.

[0079] A parameter optimization system for energy storage batteries participating in secondary frequency regulation of a power grid, comprising:

[0080] Signal extraction module: extracts power grid area control deviation signal;

[0081] Parameter acquisition module: decomposes the power grid area control deviation signal to obtain the energy storage battery parameters;

[0082] Benefit evaluation module: evaluates the benefit value of each energy storage battery parameter participating in secondary frequency regulation;

[0083] Screening module: screen the parameters of energy storage batteries according to the benefit value;

[0084] Effect evaluation module: evaluates the effect index value of the selected energy storage battery parameters participating in the secondary frequency modulation;

[0085] Selection module: Optimize the parameters of energy storage batteries participating in the secondary frequency regulation of the power grid according to the effect index value and preset rules.

[0086] A computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, enable the computing device to execute a parameter optimization method for energy storage batteries participating in secondary frequency regulation of a power grid.

[0087] A computing device includes one or more processors, one or more memories, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing a parameter optimization method for energy storage batteries participating in secondary frequency regulation of a power grid.

[0088] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0089] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0090] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0091] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0092] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A parameter optimization method for energy storage batteries participating in secondary frequency modulation of power grid, characterized in that: include: Extracting power grid area control deviation signal; Decompose the power grid area control deviation signal to obtain the energy storage battery parameters; Evaluate the benefit value of each energy storage battery parameter participating in secondary frequency regulation; Screen the parameters of energy storage batteries according to the benefit value; Evaluate the effect index values ​​of the selected energy storage battery parameters participating in secondary frequency modulation; According to the effect index value and preset rules, optimize the parameters of the energy storage batteries participating in the secondary frequency regulation of the power grid; The calculation formula of the effect index value is: In the formula, S ACE is the power grid area control deviation signal, p E 、p G are the power capacity and output frequency of the energy storage battery, respectively; P is the sequence length of the power grid area control deviation signal; J1 is the effect index value of the selected energy storage battery parameters participating in the secondary frequency regulation; The preset rule is: select the energy storage battery parameters corresponding to the maximum effect index value to participate in the secondary frequency regulation of the power grid.

2. A parameter optimization method for energy storage batteries participating in secondary frequency modulation of power grid according to claim 1, characterized in that: After extracting the power grid area control deviation signal, the method further includes: Screen the power grid area control deviation signal.

3. A parameter optimization method for energy storage batteries participating in secondary frequency modulation of power grid according to claim 2, characterized in that: Screening of power grid area control deviation signals, including: Detecting the power grid area control deviation signal to obtain the detection index of the power grid area control deviation signal; If the detection index is not within the range of (0,1), the control deviation signal of the power grid area is eliminated.

4. A parameter optimization method for energy storage batteries participating in secondary frequency modulation of power grid according to claim 3, characterized in that: The calculation formula of the power grid area control deviation signal detection index is: Among them, J is the power grid area control deviation signal detection index, and q is the sequence length of the power grid node voltage, energy storage capacity, and energy storage charging and discharging current signal.

5. The parameter optimization method for energy storage battery participating in secondary frequency modulation of power grid according to claim 1 is characterized in that: Decompose the power grid area control deviation signal to obtain the energy storage battery parameters, including: The empirical mode decomposition of the power grid area control deviation signal is performed to obtain the energy storage battery parameters.

6. A parameter optimization method for energy storage batteries participating in secondary frequency modulation of power grid according to claim 1, characterized in that: The formula for calculating the benefit value is: Among them, N RES is the benefit value of the energy storage battery parameters participating in the secondary frequency regulation, R y is the annual benefit of all energy storage batteries involved in secondary frequency regulation, r i is the net benefit value of the energy storage battery participating in the secondary frequency regulation, T LCC It is the total time that the energy storage battery can be used.

7. A parameter optimization system for energy storage batteries participating in secondary frequency modulation of power grid, characterized in that: include: Signal extraction module: extracts power grid area control deviation signal; Parameter acquisition module: decomposes the power grid area control deviation signal to obtain the energy storage battery parameters; Benefit evaluation module: evaluates the benefit value of each energy storage battery parameter participating in secondary frequency regulation; Screening module: Screening energy storage battery parameters according to benefit value; Effect evaluation module: evaluates the effect index value of the selected energy storage battery parameters participating in the secondary frequency modulation; Selection module: optimizes the parameters of energy storage batteries participating in the secondary frequency regulation of the power grid according to the effect index value and preset rules; The calculation formula of the effect index value is: In the formula, S ACE is the power grid area control deviation signal, p E 、p G are the power capacity and output frequency of the energy storage battery, respectively; P is the sequence length of the power grid area control deviation signal; J1 is the effect index value of the selected energy storage battery parameters participating in the secondary frequency regulation; The preset rule is: select the energy storage battery parameters corresponding to the maximum effect index value to participate in the secondary frequency regulation of the power grid.

8. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions which, when executed by a computing device, cause the computing device to perform any one of the methods according to claims 1 to 6.

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