Parameter optimization method and system for energy storage battery participating in secondary frequency modulation of power grid
阅读说明：本技术 一种储能电池参与电网二次调频的参数优化方法及系统 (Parameter optimization method and system for energy storage battery participating in secondary frequency modulation of power grid ) 是由 周天 李吉晨 傅国斌 扈卫卫 黄燕 王学斌 常康 丁玉杰 李延和 汪马翔 于 2021-07-02 设计创作，主要内容包括：本发明公开了一种储能电池参与电网二次调频的参数优化方法及系统,本发明从电网区域控制偏差信号获取储能电池参数,根据储能电池参数参与二次调频的效益值,筛选储能电池参数,根据筛选出的储能电池参数参与二次调频的效果指标值,进行储能电池参数优化,增强了储能电池二次调频过程的稳定性与准确性,增强了储能电池的电网频率调整能力,从整体上提高了储能电池与电网机组的调频处理能力与电力能源控制能力。(The invention discloses a parameter optimization method and a parameter optimization system for an energy storage battery to participate in power grid secondary frequency modulation.)
1. A parameter optimization method for an energy storage battery to participate in secondary frequency modulation of a power grid is characterized by comprising the following steps:
extracting a power grid region control deviation signal;
decomposing the control deviation signal of the power grid region to obtain energy storage battery parameters;
evaluating the benefit value of each energy storage battery parameter participating in secondary frequency modulation;
screening parameters of the energy storage battery according to the benefit value;
evaluating the effect index value of the screened energy storage battery parameters participating in secondary frequency modulation;
and optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to the effect index value and a preset rule.
2. The method for optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to claim 1, wherein after the extracting the grid area control deviation signal, the method further comprises:
and screening the control deviation signals of the power grid region.
3. The method for optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to claim 2, wherein the step of screening the power grid area control deviation signal specifically comprises the following steps:
detecting the power grid area control deviation signal to obtain a detection index of the power grid area control deviation signal;
and if the detection index is not in the range of (0,1), rejecting the power grid region control deviation signal.
4. The method for optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to claim 3, wherein a calculation formula of a detection index of a regional control deviation signal of the power grid is as follows:
wherein J is the power grid region control deviation signal detection index, SACEControlling deviation signals, p, for grid areasE、pGThe power supply capacity and the output frequency of the energy storage battery are respectively, and q is the node voltage, the energy storage capacity and the sequence length of the energy storage charging and discharging current signals of the power grid.
5. The method for optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to claim 1, wherein decomposing the power grid region control deviation signal to obtain the energy storage battery parameters comprises:
and carrying out empirical mode decomposition on the control deviation signal of the power grid region to obtain the parameters of the energy storage battery.
6. The method for optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to claim 1, wherein a benefit value calculation formula is as follows:
wherein N isRESFor the value of the benefit of the energy storage battery parameter participating in the secondary frequency modulation, RyFor all the energy storage batteries participating in secondary frequency modulation, riFor the purpose of participating in the net benefit value, T, of the secondary frequency modulated energy storage batteryLCCIs the total time the energy storage battery can be used.
7. The method for optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to claim 1, wherein an effect index value calculation formula is as follows:
wherein S isACEControlling deviation signals, p, for grid areasE、pGRespectively the power supply capacity and the output frequency of the energy storage battery, P is the sequence length of the control deviation signal of the power grid region, J1And (4) performing secondary frequency modulation on the screened energy storage battery parameters.
8. The method for optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to claim 1, wherein the preset rule is as follows: and selecting the energy storage battery parameter corresponding to the maximum effect index value to participate in secondary frequency modulation of the power grid.
9. The utility model provides a parameter optimization system that energy storage battery participated in electric wire netting secondary frequency modulation which characterized in that includes:
a signal extraction module: extracting a power grid region control deviation signal;
a parameter acquisition module: decomposing the control deviation signal of the power grid region to obtain energy storage battery parameters;
a benefit evaluation module: evaluating the benefit value of each energy storage battery parameter participating in secondary frequency modulation;
a screening module: screening parameters of the energy storage battery according to the benefit value;
an effect evaluation module: evaluating the effect index value of the screened energy storage battery parameters participating in secondary frequency modulation;
a selection module: and optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to the effect index value and a preset rule.
10. A computer readable storage medium storing one or more programs, characterized in that: the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods of claims 1-8.
Technical Field
The invention relates to a parameter optimization method and system for an energy storage battery to participate in secondary frequency modulation of a power grid, and belongs to the technical field of power grids.
Background
With the continuous development of new electric power energy, electric power resources become indispensable resources for people's production and life. Therefore, the application range of the power resources is wider and wider, and meanwhile, some problems correspondingly occur, and especially instability occurs in a large-scale power grid unit. In this regard, the combined application technology of the energy storage battery and the power grid has received wide attention.
At present, in order to enable the energy storage battery and a power grid unit to achieve higher adaptation degree, more accurate control over power grid frequency adjustment is achieved, and secondary frequency modulation can be performed on the energy storage battery. Certain information errors exist in the secondary frequency modulation process, and a parameter optimization method for the energy storage battery to participate in the secondary frequency modulation of the power grid is urgently needed in order to enhance the stability and accuracy of the secondary frequency modulation process of the energy storage battery.
Disclosure of Invention
The invention provides a parameter optimization method and system for an energy storage battery to participate in secondary frequency modulation of a power grid, and solves the problems disclosed in the background technology.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a parameter optimization method for an energy storage battery to participate in secondary frequency modulation of a power grid comprises the following steps:
extracting a power grid region control deviation signal;
decomposing the control deviation signal of the power grid region to obtain energy storage battery parameters;
evaluating the benefit value of each energy storage battery parameter participating in secondary frequency modulation;
screening parameters of the energy storage battery according to the benefit value;
evaluating the effect index value of the screened energy storage battery parameters participating in secondary frequency modulation;
and optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to the effect index value and a preset rule.
After the extracting the grid area control deviation signal, the method further comprises: and screening the control deviation signals of the power grid region.
Screening the power grid region control deviation signals, specifically comprising:
detecting the power grid area control deviation signal to obtain a detection index of the power grid area control deviation signal;
and if the detection index is not in the range of (0,1), rejecting the power grid region control deviation signal.
The calculation formula of the power grid area control deviation signal detection index is as follows:
wherein J is the power grid region control deviation signal detection index, SACEControlling deviation signals, p, for grid areasE、pGThe power supply capacity and the output frequency of the energy storage battery are respectively, and q is the node voltage, the energy storage capacity and the sequence length of the energy storage charging and discharging current signals of the power grid.
Decomposing the regional control deviation signal of the power grid to obtain the parameters of the energy storage battery, comprising the following steps: and carrying out empirical mode decomposition on the control deviation signal of the power grid region to obtain the parameters of the energy storage battery.
The benefit value calculation formula is as follows:
wherein N isRESFor the value of the benefit of the energy storage battery parameter participating in the secondary frequency modulation, RyFor all the energy storage batteries participating in secondary frequency modulation, riFor the purpose of participating in the net benefit value, T, of the secondary frequency modulated energy storage batteryLCCIs the total time the energy storage battery can be used.
The calculation formula of the effect index value is as follows:
wherein S isACEControlling deviation signals, p, for grid areasE、pGRespectively the power supply capacity and the output frequency of the energy storage battery, P is the sequence length of the control deviation signal of the power grid region, J1And (4) performing secondary frequency modulation on the screened energy storage battery parameters.
The preset rule is as follows: and selecting the energy storage battery parameter corresponding to the maximum effect index value to participate in secondary frequency modulation of the power grid.
A parameter optimization system for participating in secondary frequency modulation of a power grid by an energy storage battery comprises:
a signal extraction module: extracting a power grid region control deviation signal;
a parameter acquisition module: decomposing the control deviation signal of the power grid region to obtain energy storage battery parameters;
a benefit evaluation module: evaluating the benefit value of each energy storage battery parameter participating in secondary frequency modulation;
a screening module: screening parameters of the energy storage battery according to the benefit value;
an effect evaluation module: evaluating the effect index value of the screened energy storage battery parameters participating in secondary frequency modulation;
a selection module: and optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to the effect index value and a preset rule.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a method for parameter optimization of energy storage battery participation in grid secondary frequency modulation.
The invention achieves the following beneficial effects: according to the invention, the energy storage battery parameters are obtained from the power grid region control deviation signals, the energy storage battery parameters are screened according to the benefit values of the energy storage battery parameters participating in the secondary frequency modulation, and the energy storage battery parameters are optimized according to the effect index values of the screened energy storage battery parameters participating in the secondary frequency modulation, so that the stability and the accuracy of the energy storage battery secondary frequency modulation process are enhanced, the power grid frequency adjustment capability of the energy storage battery is enhanced, and the frequency modulation processing capability and the electric power energy control capability of the energy storage battery and a power grid unit are integrally improved.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a frequency deviation plot;
FIG. 3 is an energy storage processing curve;
fig. 4 is a comparison of the anti-interference effect.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a method for optimizing parameters of an energy storage battery participating in secondary frequency modulation of a power grid includes the following steps:
step 1, extracting a power grid area control deviation signal (ACE signal);
step 2, decomposing the control deviation signal of the power grid region to obtain energy storage battery parameters;
step 3, evaluating the benefit value of each energy storage battery parameter participating in secondary frequency modulation;
step 4, screening energy storage battery parameters according to the benefit value;
step 5, evaluating the effect index value of the screened energy storage battery parameters participating in secondary frequency modulation;
and 6, optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to the effect index value and a preset rule.
According to the method, the energy storage battery parameters are obtained from the power grid region control deviation signals, the energy storage battery parameters are screened according to the benefit values of the energy storage battery parameters participating in the secondary frequency modulation, the energy storage battery parameters are optimized according to the effect index values of the screened energy storage battery parameters participating in the secondary frequency modulation, the stability and the accuracy of the energy storage battery secondary frequency modulation process are enhanced, the power grid frequency adjustment capacity of the energy storage battery is enhanced, and the frequency modulation processing capacity and the power energy control capacity of the energy storage battery and a power grid unit are integrally improved.
The power grid area control deviation signal is an ACE signal, the signal takes frequency change, exchange power change and other parameters between interconnected power systems into consideration, is a common signal in power grid secondary frequency modulation, and can be directly acquired.
After acquiring the ACE signal, the ACE signal needs to be screened to remove useless parts, which is specifically as follows:
1) detecting the ACE signal to obtain the detection index of the ACE signal;
wherein J is the detection index of ACE signal, SACEFor ACE signals, pE、pGThe power supply capacity and the output frequency of the energy storage battery are respectively, and q is the node voltage, the energy storage capacity and the sequence length of the energy storage charging and discharging current signals of the power grid.
3) If the detection index is not in the range of (0,1), the ACE signal is rejected, namely, only the ACE signal in the range of (0,1) can participate in the subsequent process.
Considering the particularity of the energy storage battery, adjusting the matched power grid dynamic parameters according to the battery performance characteristics, and performing empirical mode decomposition on the screened ACE signal to obtain the energy storage battery parameters, wherein the method specifically comprises the following steps:
the ACE signal may be decomposed into,
wherein S isACE(t) ACE signal of energy storage battery parameter t, t includes rated voltage, rated capacity and discharge current, IIMF.i(t)Is an intrinsic mode function, i is the operating time of the energy storage battery in the power grid, rn(t) is the residual component of the function, i.e. the residual signal.
The parameters of the energy storage battery are obtained after the decomposition, and if all the parameters participate in secondary frequency modulation, the benefit value of each parameter participating in secondary frequency modulation can be calculated, and the specific formula is as follows:
wherein N isRESFor the value of the benefit of the energy storage battery parameter participating in the secondary frequency modulation, RyThe annual benefit of all the energy storage batteries participating in secondary frequency modulation is set by reference according to the specific application environment and the original benefit of the energy storage batteries, and riFor the purpose of participating in the net benefit value, T, of the secondary frequency modulated energy storage batteryLCCIs the total time the energy storage battery can be used.
The benefit value evaluation relates to various problems, not only comprises economic benefits, but also relates to the influence of the secondary frequency modulation of the energy storage battery on the aspects of power grid capacity, energy consumption, efficiency adjustment and the like.
Screening the energy storage battery parameters based on the benefit values, namely rejecting the energy storage battery parameters with poor benefit values, then assuming the remaining energy storage battery parameters to participate in secondary frequency modulation, and calculating an effect index value according to the following formula:
the calculation formula of the effect index value is as follows:
wherein P is the sequence length of the power grid region control deviation signal, J1And (4) performing secondary frequency modulation on the screened energy storage battery parameters.
And sequencing the effect index values, and selecting the energy storage battery parameter corresponding to the maximum effect index value to participate in the secondary frequency modulation of the power grid.
The experiment is carried out according to the parameters (fixed and unchangeable power grid environment parameters) in the table 1, and the step disturbance of the traditional power grid unit and the energy storage battery unit after frequency modulation in the simulation experiment is detected.
(1) Frequency deviation experimental analysis
As can be seen from fig. 2, the power grid frequency variation deviation of the energy storage battery unit after the secondary deployment is low, and the output of the energy storage battery is always in a stable state; the traditional battery set has large frequency variation deviation, small output of the battery and weak recovery capability; the conventional method is a method in which the parameters of the energy storage battery are fixed parameters.
(2) Analysis of emergency handling conditions of energy storage battery
Analysis figure 3 can know that under the emergent frequency modulation condition, the energy storage battery reaction rate is faster, and reaction sensitivity is higher, can directly receive the transmission of parameter information to the process of parameter processing and analysis is faster, and the result is more accurate, compares in traditional battery unit overall efficiency higher, and is higher with the suitability of electric wire netting frequency domain.
(3) Experimental analysis of interference immunity
And carrying out a continuous disturbance experiment on the energy storage battery set, and carrying out continuous signal interference on the frequency modulation set of the battery power grid by using the interference signal. In fig. 4, the higher the interference rejection coefficient is, the better the interference rejection effect of the frequency modulation parameter optimization is. The experimental result shows that under the condition of continuous signal interference, the energy storage battery with optimized parameters has stronger processing capacity in a frequency modulation method, the frequency adjustment deviation can be kept in a minimum range, and compared with the traditional battery set, the battery set has stronger stability and data processing accuracy.
It can be seen from the experiment that, compare in traditional electric wire netting unit, the energy storage battery has stronger frequency modulation throughput, and the frequency modulation deviation is lower when facing continuous signal interference, and is more stable, more accurate than traditional electric wire netting unit. Research on the optimization of the secondary frequency modulation parameters of the power grid, which participate in the energy storage battery, has a certain reference effect on the related field of frequency modulation of the energy storage battery, and is beneficial to promoting the updating and development of the energy storage battery and the power grid facility.
A parameter optimization system for participating in secondary frequency modulation of a power grid by an energy storage battery comprises:
a signal extraction module: extracting a power grid region control deviation signal;
a parameter acquisition module: decomposing the control deviation signal of the power grid region to obtain energy storage battery parameters;
a benefit evaluation module: evaluating the benefit value of each energy storage battery parameter participating in secondary frequency modulation;
a screening module: screening parameters of the energy storage battery according to the benefit value;
an effect evaluation module: evaluating the effect index value of the screened energy storage battery parameters participating in secondary frequency modulation;
a selection module: and optimizing the parameters of the energy storage battery participating in the secondary frequency modulation of the power grid according to the effect index value and a preset rule.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a method for parameter optimization of energy storage battery participation in grid secondary frequency modulation.
A computing device comprising one or more processors, one or more memories, and one or more programs stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing a method for parameter optimization of energy storage battery participation in grid chirp.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
- 上一篇：一种医用注射器针头装配设备
- 下一篇：一种燃气联合循环机组蒸汽轮机调频负荷计算方法