Power grid load frequency regulation performance evaluation method, device, equipment and medium

Abstract

The invention relates to a power grid load frequency regulation performance evaluation method and device, equipment and a medium. The load frequency regulation model of the hydroelectric and wind power combined system is constructed based on the regulation system model of the hydroelectric generating set and the power output model of the wind power generating set; based on the load frequency regulation model, performing time-domain characteristic analysis and frequency-domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scene to obtain a time-domain index and a frequency-domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system, and generating a comprehensive evaluation index of the load frequency regulation performance of the hydroelectric and wind power combined system. According to the method, the load frequency regulation performance of the hydroelectric and wind power combined system is comprehensively evaluated through the time domain index and the frequency domain index, and the accuracy and comprehensiveness of evaluation of the load frequency regulation performance of the hydroelectric and wind power combined system are improved.

Description

Technical Field

[0001] The present disclosure relates to the field of electric power technology, and in particular to a method, device, equipment and medium for evaluating the frequency regulation performance of power grid load. Background Art

[0002] At present, the power industry is transforming towards renewable energy sources such as water, wind and light. However, due to the randomness, volatility and unpredictability of wind energy, and the rapid start and stop of hydropower units, strong flexibility, and the ability to be used for peak and frequency regulation of power grids, the hydropower and wind power combined system has gradually gained favor in various countries. The evaluation of the load frequency regulation performance of the hydropower and wind power combined system is of great significance for the safe and stable operation of the hydropower and wind power combined system.

[0003] However, at present, the indicators involved in evaluating the load frequency regulation performance of the hydropower and wind power combined system are single and have great limitations, and it is impossible to accurately evaluate the load frequency regulation performance of the hydropower and wind power combined system. Summary of the invention

[0004] In order to solve the above technical problems, the present disclosure provides a method, device, equipment and medium for evaluating the frequency regulation performance of power grid load.

[0005] A first aspect of the present disclosure provides a method for evaluating power grid load frequency regulation performance, comprising:

[0006] Based on the regulation system model of the hydropower unit and the power output model of the wind power unit, a load frequency regulation model of the hydropower and wind power combined system is constructed;

[0007] Based on the load frequency regulation model, the time domain characteristics of the regulation performance of the hydropower and wind power combined system in the preset wind power frequency disturbance scenario are analyzed to obtain the time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system;

[0008] Based on the load frequency regulation model, the regulation performance of the hydropower and wind power combined system in the preset wind power frequency disturbance scenario is analyzed in the frequency domain, and the frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system is obtained;

[0009] Based on time domain indicators and frequency domain indicators, a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system is generated.

[0010] A second aspect of the present disclosure provides a device for evaluating power grid load frequency regulation performance, comprising:

[0011] The first building module is used to build a load frequency regulation model of the hydropower and wind power combined system based on the regulation system model of the hydropower unit and the power output model of the wind power unit;

[0012] The time domain analysis module is used to analyze the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model, and obtain the time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system;

[0013] The frequency domain analysis module is used to analyze the regulation performance of the hydropower and wind power combined system in the preset wind power frequency disturbance scenario based on the load frequency regulation model, and obtain the frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system;

[0014] The generation module is used to generate a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system based on time domain indicators and frequency domain indicators.

[0015] A third aspect of the present disclosure provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method for evaluating the power grid load frequency regulation performance of the first aspect can be implemented.

[0016] A fourth aspect of the present disclosure provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method for evaluating the power grid load frequency regulation performance of the first aspect can be implemented.

[0017] Compared with the prior art, the technical solution provided by the present invention has the following advantages:

[0018] The present disclosure constructs a load frequency regulation model of a hydropower and wind power combined system based on a regulation system model of a hydropower unit and a power output model of a wind power unit; based on the load frequency regulation model, performs a time domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario, and obtains a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system; based on the load frequency regulation model, performs a frequency domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario, and obtains a frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system; based on the time domain index and the frequency domain index, generates a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system. The present disclosure comprehensively evaluates the load frequency regulation performance of the hydropower and wind power combined system through time domain indexes and frequency domain indexes, thereby improving the accuracy and comprehensiveness of the evaluation of the load frequency regulation performance of the hydropower and wind power combined system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0021] Figure 1 is a flow chart of a method for evaluating power grid load frequency regulation performance provided by an embodiment of the present disclosure;

[0022] Figure 2 is a parameter diagram of a wind power frequency disturbance scenario provided by an embodiment of the present disclosure;

[0023] Figure 3 is a flow chart of a method for evaluating power grid load frequency regulation performance provided by an embodiment of the present disclosure;

[0024] Figure 4 is a flow chart of a method for evaluating power grid load frequency regulation performance provided by an embodiment of the present disclosure;

[0025] Figure 5 It is a structural schematic diagram of a device for evaluating the frequency regulation performance of a power grid load provided by an embodiment of the present disclosure;

[0026] Figure 6 It is a structural diagram of a computer device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0028] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0029] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0030] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0031] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0032] The evaluation method for the power grid load frequency regulation performance provided by the embodiment of the present disclosure can be executed by a computer device, which can be understood as any device with processing and computing capabilities, and the device can include but is not limited to mobile terminals such as smart phones, laptops, tablet computers (PADs), and fixed electronic devices such as digital TVs and desktop computers.

[0033] In order to better understand the inventive concept of the embodiments of the present disclosure, the technical solutions of the embodiments of the present disclosure are described below in conjunction with exemplary embodiments.

[0034] Figure 1 is a flow chart of a method for evaluating the frequency regulation performance of a power grid load provided by an embodiment of the present disclosure. The method can be executed by a computer device, such as Figure 1 As shown, the evaluation method of power grid load frequency regulation performance provided in this embodiment includes the following steps:

[0035] Step 110: construct a load frequency regulation model for the hydropower and wind power combined system based on the regulation system model of the hydropower unit and the power output model of the wind power unit.

[0036] In the disclosed embodiment, the computer device can construct a regulation system model of the hydropower unit and a power output model of the wind power unit, and then construct a load frequency regulation model of the hydropower and wind power combined system based on the regulation system model of the hydropower unit and the power output model of the wind power unit.

[0037] A hydroelectric generator set is a hydroelectric generator set; a wind turbine generator set is a wind turbine generator set.

[0038] In some embodiments, before constructing the load frequency regulation model of the hydropower and wind power combined system, the computer device may execute S11-S13:

[0039] S11. Construct a speed control system model of the hydropower unit, a pipeline rigidity water hammer model of the hydropower unit, a flow torque characteristic output model of the turbine of the hydropower unit, and a generator model of the hydropower unit.

[0040] In the disclosed embodiment, the speed control system model of the hydropower unit can be understood as the speed regulator model of the hydropower unit. For example, a proportional integral (PI) controller can be used as the speed regulator of the hydropower unit, ignoring its nonlinear characteristics. According to the hydraulic-mechanical subsystem speed regulator system structure diagram, the transfer function of the speed control system model of the hydropower unit can be formula (1):

[0041]

[0042] Among them, G g (s) is the transfer function of the speed regulator; G s (s) is the transfer function of the hydraulic system of the hydropower unit; K p is the proportional integral constant; K i is the integration time constant; T y is the relay time constant.

[0043] According to the principles of applied hydraulics, the basic motion and continuity characteristics of the unsteady flow in the pressure pipe of a hydropower unit can be described by the famous Saint-Venant equation, as shown in equation (2):

[0044]

[0045] Among them, A is the cross-sectional area of ​​the pipeline; Q0 is the turbine flow rate of the hydropower unit; l is the distance between the flow section of the pipeline and the set origin; a is the speed of the turbine; H0 is the water head of the turbine; α is the horizontal inclination angle of the pipeline.

[0046] By ignoring small terms and friction effects, the Laplace transform can be used to obtain a concise representation of the pipeline model as shown in formula (3):

[0047]

[0048] Among them, △H U is the upstream head change; △H D is the downstream head change; △Q U is the upstream head change; △Q D is the downstream head change.

[0049] Using Taylor series expansion and ignoring the second-order and higher terms, the transfer function of the rigid water hammer model of the pipeline can be obtained as shown in formula (4):

[0050]

[0051] Among them, G h (s) is the transfer function of the rigid water hammer model of the pipeline; T w is the inertia time constant of water flow in the pipeline; △h(s) is the head change in the pipeline; △q(s) is the flow change in the pipeline.

[0052] The linearized equation of the flow torque characteristic output model of the turbine of the hydropower unit can be written as formula (5):

[0053] Δq=e qh Δh+e qω Δω r +e qy Δy (5);

[0054] Among them, e qh 、e qω 、e qy is the flow transfer coefficient; △h is the head change of the turbine; Δq is the flow change of the turbine; △y is the guide vane opening change of the turbine; Δω r is the relative deviation of the turbine speed.

[0055] The transfer function of the generator model of the hydropower unit can be expressed as formula (6):

[0056]

[0057] Where Gs is the transfer function of the generator model; T a is the inertia time constant of the generator; e n is the self-regulation coefficient of the generator; s is the Laplace operator.

[0058] S12. Based on the speed control system model, rigid water hammer model, flow torque characteristic output model and generator model of the hydropower unit, a regulation system model of the hydropower unit is constructed.

[0059] S13. Based on the wind duct contact area and wind speed of the wind turbine, a power output model of the wind turbine is constructed.

[0060] Specifically, the output power of a wind turbine generator set is determined by the duct contact area and the wind speed. The power output model of a wind turbine generator set can be expressed as formula (7):

[0061]

[0062] Among them, P ωis the power generation of the wind turbine; C P is the wind force coefficient; λ is the tip speed of the wind turbine blade; β is the blade pitch angle; V ω is wind speed; R b is the blade radius; d is the air density.

[0063] Step 120: Based on the load frequency regulation model, a time domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario to obtain a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system.

[0064] In the disclosed embodiment, the computer device can perform time domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model of the hydropower and wind power combined system, and obtain a time domain indicator for evaluating the load frequency regulation performance of the hydropower and wind power combined system.

[0065] The preset wind power frequency disturbance scenario can be understood as a pre-set wind power frequency disturbance scenario, which can be set as needed and is not limited here.

[0066] For example, the preset wind power frequency disturbance scenario may include at least one disturbance scenario among a single-peak frequency disturbance scenario, a positive skewed frequency disturbance scenario, a negative skewed frequency disturbance scenario and a double-peak frequency disturbance scenario under at least one turbulence intensity.

[0067] like Figure 2 As shown, Figure 2 A parameter schematic diagram of a wind power frequency disturbance scenario is provided, including a single-peak frequency disturbance scenario, a positively skewed frequency disturbance scenario, a negatively skewed frequency disturbance scenario and a double-peak frequency disturbance scenario.

[0068] Among them, the time domain index may include at least one of a deviation index, a stability index and a complementarity index.

[0069] The deviation index can be understood as the degree of dispersion between the actual frequency and the standard frequency used to evaluate the load frequency regulation of the hydropower and wind power combined system.

[0070] The stability index can be understood as a method for evaluating the degree to which the hydropower units compensate for the power fluctuations of the hydropower and wind power combined system during the process of load frequency regulation of the hydropower and wind power combined system.

[0071] The complementarity index can be understood as the degree of power complementarity between hydropower units and wind power units when the hydropower and wind power combined system performs load frequency regulation.

[0072] Step 130: Based on the load frequency regulation model, frequency domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario to obtain frequency domain indicators for evaluating the load frequency regulation performance of the hydropower and wind power combined system.

[0073] In the disclosed embodiment, the computer device can perform frequency domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model of the hydropower and wind power combined system, and obtain frequency domain indicators for evaluating the load frequency regulation performance of the hydropower and wind power combined system.

[0074] The frequency domain index may include at least one of frequency deviation suppression and harmonic distortion rate.

[0075] The frequency deviation suppression degree can be understood as the degree to which the hydropower unit suppresses the frequency fluctuation caused by the wind power unit when the hydropower and wind power combined system performs load frequency regulation.

[0076] The harmonic distortion rate can be understood as an indicator used to evaluate the contribution of hydropower units to the load frequency regulation process of the hydropower and wind power combined system.

[0077] Step 140: Generate a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system based on the time domain index and the frequency domain index.

[0078] In the disclosed embodiment, after obtaining the time domain index and frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system, the computer device can generate a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system based on the time domain index and the frequency domain index.

[0079] The disclosed embodiment comprehensively evaluates the load frequency regulation performance of the hydropower and wind power combined system through time domain indicators and frequency domain indicators, thereby improving the accuracy and comprehensiveness of the evaluation of the load frequency regulation performance of the hydropower and wind power combined system.

[0080] Figure 3 is a flow chart of a method for evaluating the frequency regulation performance of a power grid load provided by an embodiment of the present disclosure. The method can be executed by a computer device, such as Figure 3 As shown, the evaluation method of power grid load frequency regulation performance provided in this embodiment includes the following steps:

[0081] Step 310: construct a load frequency regulation model for the hydropower and wind power combined system based on the regulation system model of the hydropower unit and the power output model of the wind power unit.

[0082] Step 320: Based on the load frequency regulation model, a dynamic simulation is performed on the hydropower and wind power combined system under a preset wind power frequency disturbance scenario.

[0083] Step 330: Based on the load frequency regulation model, a time domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a wind power frequency disturbance scenario at a preset time domain angle to obtain a deviation index, a stability index and a complementarity index for load frequency regulation of the hydropower and wind power combined system.

[0084] Specifically, the process may include steps 3301-3305:

[0085] Step 3301: Obtain a preset number of actual frequencies of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario and a preset number of output powers of the hydropower and wind power combined system.

[0086] The preset number can be set as needed and is not limited here.

[0087] The preset duration can be set as needed and is not limited here.

[0088] Step 3302: Calculate the root mean square of a preset number of actual frequencies and the standard frequency of the hydropower and wind power combined system, and determine the root mean square as a deviation index for load frequency regulation of the hydropower and wind power combined system.

[0089] For example, the deviation index of load frequency regulation of the hydropower and wind power combined system can be calculated according to formula (8):

[0090]

[0091] Among them, f rms is the deviation index (RMS); N is the preset number; f i is the actual frequency of the hydropower and wind power combined system corresponding to the i-th point on the frequency response curve; f0 is the standard frequency.

[0092] For example, Table 1 is a schematic diagram of the deviation index of load frequency regulation in a hydropower and wind power combined system:

[0093] Table 1

[0094]

[0095] Step 3303: based on a preset number of output powers, calculate the power smoothness of the hydropower and wind power combined system during the process of load frequency regulation by the hydropower and wind power combined system, and determine the power smoothness as the stability index of the hydropower and wind power combined system for load frequency regulation.

[0096] For example, the stability index of the hydropower and wind power combined system for load frequency regulation can be calculated according to formula (9):

[0097]

[0098] Among them, I s The deviation index for load frequency regulation of the hydropower and wind power combined system (power smoothness of the hydropower and wind power combined system); A s is the amplification factor of the complementary index; T s is the sampling interval; point P h,i is the output power of the hydropower and wind power combined system corresponding to the i-th point on the frequency response curve.

[0099] For example, Table 2 is a schematic diagram of the stability index of the load frequency regulation of the hydropower and wind power combined system:

[0100] Table 2

[0101]

[0102] Step 3303: Calculate the complementarity index of the hydropower and wind power combined system for load frequency regulation based on a preset number of output powers and an average wind power set point for load frequency regulation of the hydropower and wind power combined system.

[0103] For example, the complementarity index of the combined hydropower and wind power system for load frequency regulation can be calculated according to formula (10):

[0104]

[0105] Among them, I C The complementarity index for load frequency regulation of the hydropower and wind power combined system; ΔP * w,avg Average wind power set point for load frequency regulation in a combined hydro-wind system.

[0106] Step 340: Based on the deviation index, the stability index and the complementarity index, a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system is constructed.

[0107] Step 350: Based on the load frequency regulation model, frequency domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario to obtain the frequency deviation suppression degree and harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation.

[0108] Specifically, the process may include steps 3501-3505:

[0109] Step 3501: Calculate the power fluctuation value of the wind turbine generator set based on the output power of the wind turbine generator set in a preset wind power frequency disturbance scenario.

[0110] For example, according to Parseval's law and Rayleigh's energy theorem, the sum of the squares of a random time series signal is equivalent to the square of its Fourier transform amplitude, that is, equation (11):

[0111]

[0112] Where x(t) represents the time series signal of the output power of the wind turbine; T is the observation period; f is the frequency of the output power of the wind turbine; F x is the Fourier transform of the output power of the wind turbine in the frequency domain.

[0113] By statistically averaging each possible power spectrum, the power spectrum density of the wind turbine output power is obtained, as shown in formula (12):

[0114]

[0115] Where E represents the expected value; S x (f) is the statistical average of the different output powers of the wind turbines after Fourier transformation.

[0116] Applying the windowed Fourier transform to the equation can realize the analysis within a limited time period. Combined with the Wiener-Schinchin theorem, the consistency of random fluctuations in time domain and frequency domain research is achieved, as shown in equation (13):

[0117]

[0118] Among them, x T (t) represents the truncated version of x(t) within the finite time window [-T, T]; X T (f) represents the signal x T (t) Frequency domain representation after Fourier transform; e -j2Πft represents the kernel of Fourier transform; j is the imaginary unit.

[0119] Then, the power spectrum density distribution of the wind turbine output power is discretized, and the kth power fluctuation value of the wind turbine can be expressed as formula (14):

[0120]

[0121] Among them, T s is the sampling interval; define the power fluctuation value x of the wind turbine at a certain moment T [i] = ΔP(t i ), △P represents the power change of the wind turbine; the i-th sampling point is t i =(i-1)T s , N=T / T s ; DFT (Discrete Fourier Transform) stands for discrete Fourier transform.

[0122] Step 3502: Calculate the power spectrum density of the wind turbine output power based on the power fluctuation value.

[0123] For example, the above formula (14) can be rewritten as formula (15):

[0124]

[0125] Among them, S x (k) represents the power spectrum density of the kth output power of the wind turbine.

[0126] For comparison, the MATLAB function "pwelch" was used to perform a spectral density analysis of the power fluctuation of the wind turbine. Specifically, the power average value of the normalized wind turbine was integrated with the power of the wind turbine in different time periods to obtain the power spectral density distribution characteristics of the wind turbine output power.

[0127] Step 3503: Calculate the power spectrum density of the total power based on the total power output by the hydropower and wind power combined system in a preset wind power frequency disturbance scenario.

[0128] The calculation process of step 3503 in the embodiment of the present disclosure may refer to the calculation process of the power spectrum density of the output power of the above-mentioned wind turbine generator set, which will not be repeated here.

[0129] Step 3504: Calculate the frequency deviation suppression degree of the hydropower and wind power combined system for load frequency regulation based on the power spectrum density of the wind turbines and the power spectrum density of the total power.

[0130] In the embodiments of the present disclosure, based on the power spectrum density distribution characteristics of the wind turbine generator set, the suppression effect of the hydropower generator set on the wind power fluctuation is further studied.

[0131] For example, the frequency deviation suppression degree of the hydropower and wind power combined system for load frequency regulation can be calculated by formula (16):

[0132]

[0133] Wherein, W represents the frequency deviation suppression degree of the hydropower and wind power combined system for load frequency regulation; N is a preset number.

[0134] Step 3605: Calculate the harmonic distortion rate of the load frequency regulation of the hydropower and wind power combined system based on the frequency of the total power output by the hydropower and wind power combined system.

[0135] For example, the harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation can be calculated by formula (17):

[0136]

[0137] Wherein, HD represents the harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation; Ck represents the Fourier coefficient of the frequency component of the kth total power output of the hydropower and wind power combined system in the Fourier fast analysis; the frequency corresponding to the frequency component of the kth total power is f k =kf s / N,f s is the sampling frequency; A is the frequency band related to the input signal fluctuation; C0 represents the Fourier coefficient of the frequency component of the 0th total power.

[0138] For example, Table 3 is a schematic table of the complementarity index of the hydropower and wind power combined system for load frequency regulation:

[0139] Table 3

[0140]

[0141] For example, Table 4 is a schematic table of frequency deviation suppression for load frequency regulation in a hydropower and wind power combined system:

[0142] Table 4

[0143]

[0144] For example, Table 5 is a schematic diagram of the harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation:

[0145] In Table 5, the harmonic distortion rate reaches the maximum value in the low frequency band (LF band), which is close to 1, indicating that the improvement of the low frequency band harmonic enhancement by the hydropower unit is very small; while the harmonic distortion rates of the medium frequency band (MF band) and high frequency band (HF band) of the hydropower unit are reduced to 0.78 and 0.73 respectively, and the enhancement effect is greatly improved, and there is a significant reduction in the medium frequency band, resulting in a change in the suppression trend, which further proves that hydropower can alleviate the frequency deviation caused by wind power fluctuations.

[0146] Table 5

[0147]

[0148] Step 370: Based on the frequency deviation suppression degree and the harmonic distortion rate, a frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system is constructed.

[0149] Step 380: Generate a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system based on the time domain index and the frequency domain index.

[0150] Therefore, the load frequency regulation performance of the hydropower and wind power combined system can be comprehensively evaluated through time domain indicators and frequency domain indicators, which improves the accuracy and comprehensiveness of the evaluation of the load frequency regulation performance of the hydropower and wind power combined system.

[0151] In some embodiments of the present disclosure, the above-mentioned comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system is generated based on the time domain index and the frequency domain index. The computer device can execute Figure 4 A flow chart of a method for evaluating the performance of power grid load frequency regulation is provided, such as Figure 4 As shown, the evaluation method of power grid load frequency regulation performance provided in this embodiment includes the following steps:

[0152] Step 410: Obtain the correlation between each indicator in the time domain indicator and the frequency domain indicator and the comprehensive evaluation indicator, as well as the comparative importance of each indicator.

[0153] In the disclosed embodiment, after obtaining the time domain indicators and frequency domain indicators for evaluating the load frequency regulation performance of the hydropower and wind power combined system, the computer device can obtain the correlation between each indicator in the time domain indicators and the frequency domain indicators and the comprehensive evaluation indicators and the comparative importance of each indicator.

[0154] Correlations can include positive and negative correlations.

[0155] Among them, the deviation index, stability index and complementarity index in the time domain indicators are negatively correlated with the comprehensive evaluation index respectively; the frequency deviation suppression degree in the frequency domain indicators is positively correlated with the comprehensive evaluation index, and the harmonic distortion rate is negatively correlated with the comprehensive evaluation index.

[0156] Step 420: Calculate the initial weight value of each indicator relative to the comprehensive evaluation indicator based on the comparative importance of each indicator in the time domain indicator and the frequency domain indicator.

[0157] In the disclosed embodiment, the computer device may calculate the initial weight value of each indicator relative to the comprehensive evaluation indicator based on the comparative importance of each indicator and the Analytic Hierarchy Process (AHP).

[0158] Specifically, the comparative importance of the deviation index, stability index and complementarity index in the time domain index, and the frequency deviation suppression degree and harmonic distortion rate in the frequency domain index can be obtained. For example, as shown in Table 6, Table 6 provides the comparative importance of each index:

[0159] Table 6

[0160]

[0161] In some embodiments, based on the comparative importance of each indicator in the time domain indicator and the frequency domain indicator, calculating the initial weight value of each indicator relative to the comprehensive evaluation indicator may include steps 4201-4203:

[0162] Step 4201: Construct a comparison matrix based on the comparison importance of each indicator.

[0163] Specifically, the comparative importance of each indicator can be used as an element of the matrix to construct a comparative matrix.

[0164] Step 4202: Calculate the total eigenvector of the comparison matrix and the eigenvector corresponding to the comparison importance of each indicator.

[0165] Step 4203: For each indicator, calculate the ratio of the eigenvector corresponding to the comparative importance of each indicator to the total eigenvectors, and obtain the initial weight value of the indicator relative to the comprehensive evaluation indicator.

[0166] For example, as shown in Table 7, Table 7 provides the analysis results of the hierarchical analysis method:

[0167] Table 7

[0168]

[0169] Table 2 shows the weight calculation results of the hierarchical analysis method. The weight of the deviation index is 5.882%, the weight of the complementarity index is 17.647%, the weight of the stability index is 29.412%, the weight of the frequency deviation suppression is 29.412%, and the weight of the harmonic distortion rate is 17.647%.

[0170] Step 430: Based on the correlation between each indicator and the comprehensive evaluation indicator, determine the weight value sign corresponding to the initial weight value of the indicator relative to the comprehensive evaluation indicator, wherein the weight value sign corresponding to a positive correlation is positive, and the weight value sign corresponding to a negative correlation is negative.

[0171] Specifically, the deviation index, stability index and complementarity index in the time domain indicators are negatively correlated with the comprehensive evaluation indicators, respectively. The weight value signs corresponding to the initial weight values ​​of the deviation index, stability index and complementarity index are all negative; the frequency deviation suppression degree in the frequency domain indicators is positively correlated with the comprehensive evaluation index, and the harmonic distortion rate is negatively correlated with the comprehensive evaluation index. The weight value signs corresponding to the initial weight value of the frequency deviation suppression degree are all positive, and the weight value signs corresponding to the initial weight value of the harmonic distortion rate are all negative.

[0172] Step 440: For each initial weight value corresponding to an indicator, multiply the initial weight value by the weight value sign corresponding to the initial weight value to obtain a target weight value corresponding to the indicator.

[0173] Step 450 : Perform weighted summation on each indicator in the time domain indicator and the frequency domain indicator and the target weight value corresponding to the indicator to obtain a comprehensive evaluation indicator of the load frequency regulation performance of the hydropower and wind power combined system.

[0174] In some embodiments, the computer device may also perform a consistency check on the above-mentioned comparison matrix.

[0175] CI is a consistency index for measuring the deviation of the contrast matrix, CI = (λ-n) / (n-1). The larger the CI, the worse the consistency of the contrast matrix. When CI is 0, the contrast matrix has complete consistency.

[0176] CR is the consistency ratio, and the formula is: CR = CI / RI, where RI is the average random consistency index. When CR < 0.1, the consistency of the comparison matrix can be considered acceptable.

[0177] For example, the consistency test result may be shown in Table 8:

[0178] Table 8

[0179]

[0180] The largest eigenvalue is the largest value among the eigenvalues ​​of a matrix.

[0181] Figure 5 1 is a schematic diagram of a structure of a device for evaluating the frequency regulation performance of a power grid load provided by an embodiment of the present disclosure. The device can be understood as the above-mentioned computer device or a part of the functional modules in the above-mentioned computer device. Figure 5 As shown, the evaluation device 500 for the power grid load frequency regulation performance includes:

[0182] The first construction module 510 is used to construct a load frequency regulation model of the hydropower and wind power combined system based on the regulation system model of the hydropower unit and the power output model of the wind power unit;

[0183] A time domain analysis module 520 is used to perform a time domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model, and obtain a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system;

[0184] A frequency domain analysis module 530 is used to perform frequency domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model, and obtain frequency domain indicators for evaluating the load frequency regulation performance of the hydropower and wind power combined system;

[0185] The generating module 540 is used to generate a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system based on the time domain index and the frequency domain index.

[0186] Optionally, the above-mentioned evaluation device for the power grid load frequency regulation performance includes:

[0187] The second construction module is used to construct a speed control system model of the hydropower unit, a rigid water hammer model of the pipeline of the hydropower unit, a flow torque characteristic output model of the turbine of the hydropower unit, and a generator model of the hydropower unit;

[0188] A third construction module is used to construct a regulation system model of the hydropower unit based on the speed regulation system model, the rigid water hammer model, the flow torque characteristic output model and the generator model;

[0189] The fourth construction module is used to construct a power output model of the wind turbine generator set based on the wind duct contact area of ​​the wind turbine generator set and the wind speed received by the wind turbine generator set.

[0190] Optionally, the above-mentioned time domain index includes at least one of a deviation index, a stability index and a complementarity index;

[0191] The deviation index is used to evaluate the degree of dispersion between the actual frequency and the standard frequency when the hydropower and wind power combined system performs load frequency regulation;

[0192] The stability index is used to evaluate the degree to which the hydropower unit compensates for the power fluctuation of the hydropower and wind power combined system during the process of load frequency regulation of the hydropower and wind power combined system;

[0193] The complementarity index is used to evaluate the degree of power complementarity between the hydropower unit and the wind power unit when the hydropower and wind power combined system performs load frequency regulation;

[0194] The above-mentioned time domain analysis module includes:

[0195] A time domain simulation submodule, used for performing dynamic simulation of the hydropower and wind power combined system under a preset wind power frequency disturbance scenario;

[0196] A time domain analysis submodule is used to perform time domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a wind power frequency disturbance scenario at a preset time domain angle based on the load frequency regulation model, and obtain a deviation index, a stability index and a complementarity index of the hydropower and wind power combined system for load frequency regulation;

[0197] The time domain index submodule is used to construct a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system based on the deviation index, stability index and complementarity index.

[0198] Optionally, the time domain analysis submodule includes:

[0199] An acquisition unit, configured to acquire a preset number of actual frequencies of the hydropower and wind power combined system and a preset number of output powers of the hydropower and wind power combined system in the preset wind power frequency disturbance scenario;

[0200] A first calculation unit is used to calculate the root mean square of a preset number of actual frequencies and the standard frequency of the hydropower and wind power combined system, and determine the root mean square as a deviation index for load frequency regulation of the hydropower and wind power combined system;

[0201] A second calculation unit is used to calculate the power smoothness of the hydropower and wind power combined system within a preset time period based on a preset number of output powers, and determine the power smoothness as a stability index for load frequency regulation of the hydropower and wind power combined system;

[0202] The third calculation unit is used to calculate the complementarity index of the hydropower and wind power combined system for load frequency regulation based on the preset number of output powers and the average wind power set point of the hydropower and wind power combined system for load frequency regulation.

[0203] Optionally, the frequency domain index includes at least one of frequency deviation suppression and harmonic distortion rate;

[0204] The frequency deviation suppression degree is used to evaluate the degree to which the hydropower unit suppresses the frequency fluctuation generated by the wind power unit when the hydropower and wind power combined system performs load frequency regulation;

[0205] The harmonic distortion rate is used to evaluate the contribution of the hydropower unit to the load frequency regulation process of the hydropower and wind power combined system;

[0206] The above frequency domain analysis module includes:

[0207] A frequency domain simulation submodule, used for dynamically simulating the load frequency regulation model under a preset wind power frequency disturbance scenario;

[0208] A frequency domain analysis submodule is used to perform frequency domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model, and obtain the frequency deviation suppression degree and harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation;

[0209] The frequency domain index construction submodule is used to construct a frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system based on the frequency deviation suppression degree and the harmonic distortion rate.

[0210] Optionally, the frequency domain analysis submodule includes:

[0211] a fourth calculation unit, configured to calculate a power fluctuation value of the wind turbine generator set based on the output power of the wind turbine generator set in the preset wind power frequency disturbance scenario;

[0212] a fifth calculation unit, configured to calculate a power spectrum density of the output power of the wind turbine generator set based on the power fluctuation value;

[0213] a sixth calculation unit, configured to calculate a power spectrum density of the total power based on the total power output by the hydropower and wind power combined system in the preset wind power frequency disturbance scenario;

[0214] a seventh calculation unit, configured to calculate a frequency deviation suppression degree for load frequency regulation of the hydropower and wind power combined system based on a power spectrum density of the wind turbine generator set and a power spectrum density of the total power;

[0215] An eighth calculation unit is used to calculate the harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation based on the frequency of the total power output by the hydropower and wind power combined system.

[0216] Optionally, the generation module includes:

[0217] An acquisition submodule, used to acquire the correlation between each of the time domain index and the frequency domain index and the comprehensive evaluation index and the comparative importance of each of the indexes;

[0218] A weight calculation submodule, used to calculate the initial weight value of each indicator relative to the comprehensive evaluation indicator based on the comparative importance of each indicator in the time domain indicator and the frequency domain indicator;

[0219] A sign determination submodule, for determining the sign of the weight value corresponding to the initial weight value of the indicator relative to the comprehensive evaluation indicator based on the correlation between each of the indicators and the comprehensive evaluation indicator, wherein the sign of the weight value corresponding to the positive correlation is positive, and the sign of the weight value corresponding to the negative correlation is negative;

[0220] A multiplication submodule, for multiplying the initial weight value corresponding to each of the indicators by the weight value sign corresponding to the initial weight value, to obtain a target weight value corresponding to the indicator;

[0221] The summing submodule is used to perform weighted summation on each of the time domain index and the frequency domain index and the target weight value corresponding to the index to obtain a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system.

[0222] Optionally, the weight calculation submodule includes:

[0223] A construction unit, used to construct a comparison matrix based on the comparison importance of each of the indicators;

[0224] A solving unit, used for solving the total eigenvector of the comparison matrix and the eigenvector corresponding to the comparison importance of each of the indicators;

[0225] The ratio calculation unit is used to calculate the ratio of the feature vector corresponding to the comparative importance of each indicator to the total feature vectors for each indicator, so as to obtain the initial weight value of the indicator relative to the comprehensive evaluation indicator.

[0226] The evaluation device for the power grid load frequency regulation performance provided in the embodiments of the present disclosure can implement the method of any of the above embodiments, and its execution method and beneficial effects are similar, which will not be repeated here.

[0227] The embodiments of the present disclosure also provide a computer device, which includes a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method of any of the above embodiments can be implemented, and its execution method and beneficial effects are similar and will not be repeated here.

[0228] Figure 6 is a schematic diagram of the structure of a computer device provided by an embodiment of the present disclosure, such as Figure 6 As shown, the computer device 600 may include a processor 610 and a memory 620, wherein the memory 620 stores a computer program 621, and when the computer program 621 is executed by the processor 610, the method provided by any of the above embodiments can be implemented, and its execution method and beneficial effects are similar and will not be repeated here.

[0229] Of course, to simplify, Figure 6 Only some of the components related to the present invention in the computer device 600 are shown, and components such as a bus, an input / output interface, an input device, and an output device are omitted. In addition, according to specific application conditions, the computer device 600 may also include any other appropriate components.

[0230] An embodiment of the present disclosure provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method of any of the above embodiments can be implemented. The execution method and beneficial effects are similar and will not be repeated here.

[0231] The above-mentioned computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0232] The computer program may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer device, partially on the user's device, as a separate software package, partially on the user's computer device and partially on a remote computer device, or entirely on a remote computer device or server.

[0233] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0234] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0235] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the performance of power grid load frequency regulation, characterized in that: include: Based on the regulation system model of the hydropower unit and the power output model of the wind power unit, a load frequency regulation model of the hydropower and wind power combined system is constructed; Based on the load frequency regulation model, a time domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario to obtain a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system; Based on the load frequency regulation model, frequency domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario to obtain a frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system; Based on the time domain index and the frequency domain index, a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system is generated.

2. The method according to claim 1, characterized in that Before constructing the load frequency regulation model of the hydropower and wind power combined system based on the regulation system model of the hydropower unit and the power output model of the wind power unit, the method further includes: Constructing a speed control system model of a hydroelectric generator set, a rigid water hammer model of a pipeline of the hydroelectric generator set, a flow torque characteristic output model of a turbine of the hydroelectric generator set, and a generator model of the hydroelectric generator set; Constructing a regulating system model of the hydropower unit based on the speed regulating system model, the rigid water hammer model, the flow torque characteristic output model and the generator model; A power output model of the wind turbine generator set is constructed based on the wind duct contact area of ​​the wind turbine generator set and the wind speed received by the wind turbine generator set.

3. The method according to claim 1, characterized in that The time domain index includes at least one of a deviation index, a stability index and a complementarity index; The deviation index is used to evaluate the degree of dispersion between the actual frequency and the standard frequency when the hydropower and wind power combined system performs load frequency regulation; The stability index is used to evaluate the degree to which the hydropower unit compensates for the power fluctuation of the hydropower and wind power combined system during the process of load frequency regulation of the hydropower and wind power combined system; The complementarity index is used to evaluate the degree of power complementarity between the hydropower unit and the wind power unit when the hydropower and wind power combined system performs load frequency regulation; The time domain characteristic analysis of the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario is performed based on the load frequency regulation model to obtain a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system, including: Performing dynamic simulation on the hydropower and wind power combined system under a preset wind power frequency disturbance scenario; Based on the load frequency regulation model, a time domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a wind power frequency disturbance scenario at a preset time domain angle to obtain a deviation index, a stability index and a complementarity index for load frequency regulation of the hydropower and wind power combined system; Based on the deviation index, stability index and complementarity index, a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system is constructed.

4. The method according to claim 3, characterized in that The load frequency regulation model is based on which the regulation performance of the hydropower and wind power combined system in a wind power frequency disturbance scenario at a preset time domain angle is analyzed in time domain characteristics to obtain a deviation index, a stability index and a complementarity index for load frequency regulation of the hydropower and wind power combined system, including: Acquire a preset number of actual frequencies of the hydropower and wind power combined system and a preset number of output powers of the hydropower and wind power combined system in the preset wind power frequency disturbance scenario; Calculating the root mean square of a preset number of actual frequencies and the standard frequency of the hydropower and wind power combined system, and determining the root mean square as a deviation index for load frequency regulation of the hydropower and wind power combined system; Based on a preset number of output powers, calculating the power smoothness of the hydropower and wind power combined system within a preset time period, and determining the power smoothness as a stability index for load frequency regulation of the hydropower and wind power combined system; Based on the preset number of output powers and an average wind power set point for load frequency regulation of the hydropower and wind power combined system, a complementarity index for load frequency regulation of the hydropower and wind power combined system is calculated.

5. The method according to claim 1, characterized in that The frequency domain index includes at least one of a frequency deviation suppression degree and a harmonic distortion rate; The frequency deviation suppression degree is used to evaluate the degree to which the hydropower unit suppresses the frequency fluctuation generated by the wind power unit when the hydropower and wind power combined system performs load frequency regulation; The harmonic distortion rate is used to evaluate the contribution of the hydropower unit to the load frequency regulation process of the hydropower and wind power combined system; The frequency domain characteristic analysis of the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario is performed based on the load frequency regulation model to obtain a frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system, including: Performing dynamic simulation on the load frequency regulation model under a preset wind power frequency disturbance scenario; Based on the load frequency regulation model, frequency domain characteristic analysis is performed on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario to obtain the frequency deviation suppression degree and harmonic distortion rate of the load frequency regulation of the hydropower and wind power combined system; Based on the frequency deviation suppression degree and the harmonic distortion rate, a frequency domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system is constructed.

6. The method according to claim 5, characterized in that The frequency domain characteristic analysis of the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model is performed to obtain the frequency deviation suppression degree and harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation, including: Calculating a power fluctuation value of the wind turbine generator set based on the output power of the wind turbine generator set in the preset wind power frequency disturbance scenario; Based on the power fluctuation value, calculating the power spectrum density of the wind turbine output power; Based on the total power output by the hydropower and wind power combined system in the preset wind power frequency disturbance scenario, calculating the power spectrum density of the total power; Calculating the frequency deviation suppression degree of the hydropower and wind power combined system for load frequency regulation based on the power spectrum density of the wind turbine generator set and the power spectrum density of the total power; Based on the frequency of the total power output by the hydropower and wind power combined system, a harmonic distortion rate of the hydropower and wind power combined system for load frequency regulation is calculated.

7. The method according to claim 1, characterized in that The generating of a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system based on the time domain index and the frequency domain index comprises: Obtaining the correlation between each of the time domain index and the frequency domain index and the comprehensive evaluation index and the comparative importance of each of the indexes; Based on the comparative importance of each indicator in the time domain indicator and the frequency domain indicator, calculating the initial weight value of each indicator relative to the comprehensive evaluation indicator; Based on the correlation between each of the indicators and the comprehensive evaluation indicator, determine the weight value sign corresponding to the initial weight value of the indicator relative to the comprehensive evaluation indicator, wherein the weight value sign corresponding to the positive correlation is positive, and the weight value sign corresponding to the negative correlation is negative; For each initial weight value corresponding to the indicator, multiply the initial weight value by the weight value sign corresponding to the initial weight value to obtain a target weight value corresponding to the indicator; A weighted sum is performed on each of the time domain index and the frequency domain index and the target weight value corresponding to the index to obtain a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system.

8. The method according to claim 7, characterized in that The calculating of the initial weight value of each indicator relative to the comprehensive evaluation indicator based on the comparative importance of each indicator in the time domain indicator and the frequency domain indicator includes: Based on the comparative importance of each of the indicators, a comparative matrix is ​​constructed; Solving the total eigenvector of the comparison matrix and the eigenvector corresponding to the comparison importance of each of the indicators; For each of the indicators, the proportion of the eigenvector corresponding to the comparative importance of each indicator to the total eigenvectors is calculated to obtain the initial weight value of the indicator relative to the comprehensive evaluation indicator.

9. The method according to claim 1, characterized in that: The preset wind power frequency disturbance scenario includes at least one disturbance scenario among a single-peak frequency disturbance scenario, a positive skewed frequency disturbance scenario, a negative skewed frequency disturbance scenario and a double-peak frequency disturbance scenario under at least one turbulence intensity.

10. A device for evaluating the performance of power grid load frequency regulation, characterized in that: include: The first building module is used to build a load frequency regulation model of the hydropower and wind power combined system based on the regulation system model of the hydropower unit and the power output model of the wind power unit; A time domain analysis module, for performing a time domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model, and obtaining a time domain index for evaluating the load frequency regulation performance of the hydropower and wind power combined system; A frequency domain analysis module, used to perform frequency domain characteristic analysis on the regulation performance of the hydropower and wind power combined system in a preset wind power frequency disturbance scenario based on the load frequency regulation model, and obtain frequency domain indicators for evaluating the load frequency regulation performance of the hydropower and wind power combined system; A generating module is used to generate a comprehensive evaluation index of the load frequency regulation performance of the hydropower and wind power combined system based on the time domain index and the frequency domain index.

11. A computer device, characterized in that: include: A memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method for evaluating the power grid load frequency regulation performance as described in any one of claims 1 to 9 is implemented.

12. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method for evaluating the power grid load frequency regulation performance according to any one of claims 1 to 9 is implemented.

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