Performance evaluation method, device, computer-readable storage medium, and computer equipment

Abstract

The present invention discloses a performance evaluation method, apparatus, computer-readable storage medium, and computer equipment. The method comprises: obtaining static performance data of an energy system; determining a static performance evaluation index corresponding to the static performance data; determining a static performance evaluation result of the energy system based on the static performance evaluation index; obtaining a command signal received by the energy system and a response signal corresponding to the command signal; determining a dynamic performance evaluation result of the energy system based on the command signal and the response signal; and determining a target evaluation result of the energy system based on the static performance evaluation result and the dynamic performance evaluation result. The present invention solves the technical problem of being unable to accurately evaluate the performance of a wind, solar, and energy storage system.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a performance evaluation method, apparatus, computer-readable storage medium, and computer equipment. Background Art

[0002] In related technologies, after wind power and photovoltaic power are connected to the grid, an energy storage system will be introduced to form a power-balanced wind-solar-storage system. However, related technologies only evaluate the wind power system and photovoltaic system separately, and do not evaluate the dispatch response of the wind-solar-storage system to the power grid.

[0003] Therefore, there is a technical problem in the relevant technology that it is impossible to accurately evaluate the performance of wind, solar and storage systems.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] The embodiments of the present invention provide a performance evaluation method, apparatus, computer-readable storage medium, and computer equipment to at least solve the technical problem of being unable to accurately evaluate the performance of a wind-solar-storage system.

[0006] According to one aspect of an embodiment of the present invention, a performance evaluation method is provided, including: obtaining static performance data of an energy system; determining a static performance evaluation index corresponding to the static performance data; determining a static performance evaluation result of the energy system based on the static performance evaluation index; obtaining a command signal received by the energy system and a response signal corresponding to the command signal; determining a dynamic performance evaluation result of the energy system based on the command signal and the response signal; and determining a target evaluation result of the energy system based on the static performance evaluation result and the dynamic performance evaluation result.

[0007] Optionally, obtaining static performance data of the energy system includes: determining a static performance evaluation type of the energy system; and obtaining the static performance data of the energy system based on the static performance evaluation type.

[0008] Optionally, determining a static performance evaluation index corresponding to the static performance data includes: determining a critical threshold corresponding to a static performance evaluation type; and preprocessing the static performance data based on the critical threshold to obtain the static performance evaluation index.

[0009] Optionally, based on the static performance evaluation indicators, the static performance evaluation results of the energy system are determined, including: determining a static performance evaluation benchmark; performing a fusion calculation on the static performance evaluation benchmark to obtain a first fusion result; performing a fusion calculation on the static performance evaluation indicators to obtain a second fusion result; and determining the static performance evaluation result based on the first fusion result and the second fusion result.

[0010] Optionally, determining a static performance evaluation result based on the first fusion result and the second fusion result includes: determining the static performance evaluation result based on an absolute value of a difference between the first fusion result and the second fusion result.

[0011] Optionally, based on the command signal and the response signal, a dynamic performance evaluation result of the energy system is determined, including: determining a first dynamic performance indicator based on the command signal and the response signal; obtaining a baseline command signal of the energy system and a baseline response signal corresponding to the baseline command signal; determining a second dynamic performance indicator based on the baseline command signal and the baseline response signal; normalizing the first dynamic performance indicator and the second dynamic performance indicator to obtain a dynamic performance evaluation indicator; and calculating a dynamic performance evaluation result based on the dynamic performance evaluation indicator.

[0012] Optionally, the above energy system is a wind turbine, photovoltaic, and energy storage combined control system.

[0013] According to another aspect of an embodiment of the present invention, a performance evaluation device is also provided, including: a first acquisition module for acquiring static performance data of an energy system; a first determination module for determining a static performance evaluation index corresponding to the static performance data; a second determination module for determining a static performance evaluation result of the energy system based on the static performance evaluation index; a second acquisition module for acquiring an instruction signal received by the energy system and a response signal corresponding to the instruction signal; a third determination module for determining a dynamic performance evaluation result of the energy system based on the instruction signal and the response signal; and a fourth determination module for determining a target evaluation result of the energy system based on the static performance evaluation result and the dynamic performance evaluation result.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned performance evaluation methods.

[0015] According to another aspect of an embodiment of the present invention, a computer device is provided, comprising: a memory and a processor, wherein the memory stores a computer program; and the processor is configured to execute the computer program stored in the memory, wherein when the computer program is executed, the processor executes any one of the above-mentioned performance evaluation methods.

[0016] In an embodiment of the present invention, a method of evaluating a wind, photovoltaic, and energy storage system from both static and dynamic performance aspects is adopted. By utilizing converged communication technology, static performance data of each originally independent system device in the wind turbine, photovoltaic, and energy storage joint control system is obtained, and these static performance data are fused and calculated to obtain a static performance evaluation result of the energy system. Then, the command signal received by the energy system and the response signal corresponding to the command signal are obtained. Based on the command signal and the response signal, the response of the energy system to the power grid is evaluated, that is, a dynamic performance evaluation result is obtained. Finally, based on the above-mentioned static performance evaluation results and dynamic performance evaluation results, a target evaluation result of the energy system is obtained, thereby achieving a technical effect of more comprehensive and accurate performance evaluation of the wind turbine, photovoltaic, and energy storage joint control system from both static and dynamic performance aspects, thereby solving the technical problem of being unable to accurately evaluate the performance of the wind, photovoltaic, and energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 is a flow chart of a performance evaluation method provided according to an embodiment of the present invention;

[0019] Figure 2 Schematic diagram of a technical route for performance evaluation of a wind-solar-storage combined control system according to an optional embodiment of the present invention;

[0020] Figure 3 2. Schematic diagram of data acquisition of a wind-solar-storage system according to an optional embodiment of the present invention;

[0021] Figure 4 is a schematic diagram of a dynamic performance evaluation process provided according to an optional embodiment of the present invention;

[0022] Figure 5 is a structural block diagram of a performance evaluation device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] The green and low-carbon development of electricity is a crucial component of achieving societal energy conservation and emission reduction. Consequently, my country's electricity sector is currently experiencing a clear trend toward decoalization, with new energy architectures such as wind power, photovoltaics, and nuclear power gradually capturing an increasing market share. However, the intermittent, random, and volatile nature of wind and photovoltaics can severely impact peak and frequency regulation when connected to the grid on a large scale, increasing the regulatory burden on the power system. Therefore, energy storage systems are introduced to smooth out fluctuations in wind and solar power generation. As long as the energy storage device has a large capacity and a fast response time, it can achieve complete system power balance under all circumstances and accurately compensate for power imbalances. Combined wind, solar, and storage power generation is of great significance to the development of low-carbon energy.

[0026] Performance evaluation of combined wind, solar, and energy storage control systems holds important theoretical and practical value for understanding the operating status of wind turbines, photovoltaics, and energy storage systems, particularly their responsiveness to grid dispatch. However, current research and application in this area is relatively limited. Most research focuses on evaluating wind and photovoltaic systems separately. For example, power quality indicators or generation capacity reliability metrics are constructed to evaluate wind power quality; evaluation index systems for wind turbines or photovoltaics are established using the Analytic Hierarchy Process (AHP) or fuzzy evaluation methods to assess technical and economic benefits. Other studies have developed multi-faceted evaluation indicators for combined wind, solar, and energy storage systems, focusing on power generation, overall performance, and practicality. These findings are limited to single power generation systems and neglect the evaluation of wind, solar, and energy storage systems' responsiveness to the grid.

[0027] According to an embodiment of the present invention, a method embodiment for performance evaluation is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] Figure 1is a flow chart of a performance evaluation method provided according to an embodiment of the present invention. Figure 1 As shown, the method includes the following steps:

[0029] Step S102, obtaining static performance data of the system;

[0030] Step S104, determining a static performance evaluation index corresponding to the static performance data;

[0031] Step S106, determining a static performance evaluation result of the system based on the static performance evaluation index;

[0032] Step S108, acquiring the command signal received by the system and the response signal corresponding to the command signal;

[0033] Step S110, determining a dynamic performance evaluation result of the system based on the command signal and the response signal;

[0034] Step S112: determining a target evaluation result of the system based on the static performance evaluation result and the dynamic performance evaluation result.

[0035] Through the above steps, the energy system is evaluated from two aspects, namely static performance and dynamic performance. The fusion communication technology is used to obtain the static performance data of each originally independent system equipment in the energy system, and these static performance data are fused and calculated to obtain the static performance evaluation result of the energy system. Then, the command signal received by the energy system and the response signal corresponding to the command signal are obtained. Based on the command signal and the response signal, the response of the energy system to the power grid is evaluated, that is, the dynamic performance evaluation result is obtained. Finally, based on the above static performance evaluation results and dynamic performance evaluation results, the target evaluation result of the energy system is obtained, thereby achieving the technical effect of more comprehensive and accurate performance evaluation of the energy system from two aspects, namely static performance and dynamic performance, and thus solving the technical problem of not being able to accurately evaluate the performance of the wind, solar and storage system.

[0036] As an optional embodiment, obtaining static performance data of the energy system includes: determining a static performance evaluation type of the energy system; and obtaining the static performance data of the energy system based on the static performance evaluation type.

[0037] Since the above-mentioned energy system may have different performance requirements in different application scenarios, the evaluation direction when evaluating the performance of the energy system also needs to be screened or emphasized accordingly. Therefore, in this embodiment, before obtaining the static performance data, the static performance evaluation type to be obtained is first determined, and then the corresponding static performance data is obtained according to the static performance evaluation type. For different static performance evaluation types, the corresponding static performance data can also be weighted according to their importance to make the evaluation results more accurate.

[0038] Among them, the above-mentioned static performance evaluation types may include at least one of the following: 1) maximum deviation of active power setting value; 2) active power control overshoot; 3) voltage control accuracy; 4) reactive power control target value response time; 5) voltage target value response time; 6) reactive power control accuracy; 7) primary frequency regulation response time; 8) primary frequency regulation power stabilization time; 9) primary frequency regulation control active power deviation; 10) virtual inertia response stabilization time; 11) virtual inertia response control deviation; 12) system input rate; 13) timing accuracy error; 14) master-slave machine switching time; 15) single machine availability; 16) dual machine availability; 17) mean time between failures, etc.

[0039] It should be noted that in the case where the aforementioned energy system is a combined control system for wind turbines, photovoltaics, and energy storage, since each wind turbine, photovoltaic, and energy storage system may utilize different equipment from different manufacturers and have different data communication methods, to improve data acquisition efficiency, this embodiment employs converged communication technology to read relevant data from different devices, systems, integrated servers, etc., and store it in a unified performance evaluation database as static performance data for the energy system. The converged communication technology employed in this embodiment supports power communication protocols such as IEC103, IEC104, IEC61850, MODBUS RTU, and NODBUS TCP.

[0040] As an optional embodiment, determining a static performance evaluation index corresponding to the static performance data includes: determining a critical threshold corresponding to the static performance evaluation type; and preprocessing the static performance data based on the critical threshold to obtain the static performance evaluation index.

[0041] In this embodiment, when obtaining the static performance evaluation index corresponding to the static performance data, the critical threshold corresponding to each static performance evaluation type can be obtained respectively, and then the static performance data can be preprocessed according to the critical threshold to obtain the static performance evaluation index. Among them, the above-mentioned critical threshold is the upper or lower limit of the numerical value corresponding to each static performance evaluation type. If the numerical value corresponding to a certain static performance evaluation type exceeds its critical threshold, it indicates that there is a problem with the energy system in terms of the static performance evaluation type. For different static performance evaluation types, the corresponding static performance evaluation indicators may also be divided into different selection criteria, and the corresponding preprocessing methods may also be different. For example, for indicators where the smaller the better, the preprocessing can be carried out in the following manner:

[0042]

[0043] For indicators where the larger the better, the preprocessing can be done in the following ways:

[0044]

[0045] Among them, A(i) represents the index value of the i-th static performance evaluation type after preprocessing, σ is the critical threshold of the i-th static performance evaluation type, x(i) is the static performance evaluation data corresponding to the i-th static performance evaluation type, and k is the weight coefficient, which can be determined by expert experience and is used to highlight the importance of a certain static performance evaluation type.

[0046] As an optional embodiment, based on the static performance evaluation indicators, the static performance evaluation results of the energy system are determined, including: determining a static performance evaluation benchmark; performing a fusion calculation on the static performance evaluation benchmark to obtain a first fusion result; performing a fusion calculation on the static performance evaluation indicators to obtain a second fusion result; and determining the static performance evaluation result based on the first fusion result and the second fusion result.

[0047] In this embodiment, the static performance evaluation benchmark can be determined based on the aforementioned static performance evaluation indicators, or it can be directly a set of pre-set standard values. The static performance evaluation benchmark and the static performance evaluation indicators have the same number of sequence elements, with the elements in the sequence corresponding to the type of static performance evaluation to be evaluated. Furthermore, this embodiment also standardizes the static performance evaluation benchmark and the static performance evaluation indicators to be evaluated to facilitate subsequent fusion calculations.

[0048] The static performance evaluation benchmark is Q = [Q1, Q2, ... Q 17 ], the static performance evaluation index is A=[A1,A2,…A 17 ] as an example, the standardization in this embodiment can be implemented as follows:

[0049]

[0050] Among them, Q i , (i=1,2,…,17) represents the value of the i-th indicator of the static performance evaluation benchmark, A i ,(i=1,2,…,17) represents the value of the i-th indicator of the static performance evaluation index to be evaluated.

[0051] When calculating and fusing the static performance evaluation benchmark and the static performance evaluation index to be evaluated respectively, a variety of methods can be used. In this embodiment, an evidence fusion algorithm is used to obtain the static performance evaluation benchmark fusion result and the static performance evaluation index fusion result to be evaluated, namely the first fusion result and the second fusion result. Finally, the static performance evaluation result of the energy system can be determined based on the first fusion result and the second fusion result.

[0052] Taking 17 different static performance evaluation types as an example, the evidence fusion algorithm used in this embodiment is as follows:

[0053] Given the recognition framework Ω, let the function m:2 Ω →[0, 1], satisfying m(Φ)=0 and S represents the focal element. Where m(·) is called the basic probability distribution function.

[0054] Let m1, m2, ...m 17 is the basic credibility distribution on the same recognition framework Ω, then

[0055]

[0056] in,

[0057] That is, based on the above formula, this embodiment first sets a set of indicator evaluation benchmark sequences, and then calculates the indicator sequence for the data to be evaluated, thus forming a data set with 2 rows and 17 columns, where the rows represent the static performance evaluation benchmark and the static performance evaluation indicators to be evaluated, and the columns represent 17 different static performance evaluation types; then the indicator value of each column is standardized, with the aim of making the sum of the two numbers in each column always 1; then the evidence fusion algorithm is used to calculate the fusion results of the 17 indicators in each row, and a total of two values ​​are obtained, namely the first fusion result and the second fusion result.

[0058] As an optional embodiment, a static performance evaluation result is determined based on the first fusion result and the second fusion result, including: determining the static performance evaluation result based on the absolute value of the difference between the first fusion result and the second fusion result. After respectively calculating the first fusion result and the second fusion result, the static performance evaluation result can be determined based on the absolute value of the difference between the first fusion result and the second fusion result. Since the first fusion result is a static performance evaluation benchmark fusion result and the second fusion result is a static performance evaluation index fusion result, the difference between the two can accurately represent the difference between the static performance evaluation index to be evaluated and the static performance evaluation benchmark under the ideal state in the form of a numerical value. In this embodiment, the absolute value of the above difference is taken. The smaller the absolute value, the closer the sequence to be evaluated is to the benchmark, that is, the more ideal the performance.

[0059] As an optional embodiment, a dynamic performance evaluation result of an energy system is determined based on a command signal and a response signal, including: determining a first dynamic performance indicator based on the command signal and the response signal; obtaining a baseline command signal of the energy system and a baseline response signal corresponding to the baseline command signal; determining a second dynamic performance indicator based on the baseline command signal and the baseline response signal; normalizing the first dynamic performance indicator and the second dynamic performance indicator to obtain a dynamic performance evaluation indicator; and calculating a dynamic performance evaluation result based on the dynamic performance evaluation indicator.

[0060] For the above-mentioned energy system, in addition to determining the static performance evaluation results, this embodiment also evaluates the energy system from the dynamic performance aspect to obtain the energy system's response capability to the command signal, thereby effectively characterizing the economic benefits of the energy system and providing a reference for the power allocation of the energy system.

[0061] When determining the dynamic performance evaluation result, this embodiment obtains the command signal and the response signal from the operating data of the energy system, and calculates the first dynamic performance index based on the command signal and the response signal to characterize the response of the energy system to the command signal during operation. Then, based on the reference command signal under an ideal state and the reference response signal corresponding to the reference command signal, the second dynamic performance index is calculated to characterize the response of the energy system to the command signal under an ideal state. Then, the first dynamic performance index and the second dynamic performance index are normalized, and the dynamic performance evaluation index is calculated based on the normalized result to obtain the dynamic performance evaluation result of the above-mentioned energy system.

[0062] When calculating the second dynamic performance index based on the ideal reference command signal and the reference response signal corresponding to the reference command signal, this embodiment first calculates the cumulative deviation of the two sequences based on the reference command signal and the reference response signal. The specific formula is as follows:

[0063]

[0064]

[0065] Wherein, {x(t), y(t): t=1, 2, ..., N} represent the reference command signal and the reference response signal respectively, are the means of the sequence {x(t), y(t)} respectively.

[0066] Afterwards, the cumulative deviation of the reference command signal and the cumulative deviation of the reference response signal are divided into subintervals. For example, X(i) and Y(i) can be divided into M non-overlapping intervals of length r, where M = [N / r]. The two sequences are then divided once in the order of i from large to small and from small to large in the above manner, respectively, to obtain 2M subintervals.

[0067] Then fit the points in each subinterval. For example, the fitting can be done as follows:

[0068] P X，v (i) = a0 + a1i + a2i 2 +…+a k i k ,i=1,2,…,r;k=1,2,…

[0069] P Y，v (i) = b0 + b1i + b2i 2 +…+b k i k ,i=1,2,…,r;k=1,2,…

[0070] Among them, a0, a1, …, a k and b0,b1,…,b k are the fitting coefficients.

[0071] Then, the cross-covariance corresponding to each subinterval is calculated based on the fitting results. For example, the cross-covariance can be calculated as follows:

[0072] When v=1,2,…,M:

[0073]

[0074] When v=M+1,M+2,…,2M:

[0075]

[0076] Then, the cross-covariances corresponding to the multiple sub-intervals obtained are averaged, i.e., the cross-covariance mean, and the fluctuation function is determined based on the cross-covariance mean. During the calculation process, multiple groups of signals can be selected, and the corresponding fluctuation functions can be determined for the multiple groups of signals using the above method, and the indicators corresponding to the multiple fluctuation functions are normalized. Finally, the dynamic performance evaluation index is calculated based on the normalized result. For example, in this implementation, the following method can be used:

[0077]

[0078] F(r)~r h(q)

[0079]

[0080]

[0081] Among them, F(r) is the q-order wave function, H=h(2) is the index when q=2, and H j (j=1,2,…,m) are the indicators corresponding to each group of command signals and response signals, α and β represent the indicator sequence H j The mean and standard deviation of E is the dynamic performance evaluation index, C is the dynamic performance parameter and

[0082] It should be noted that when the first dynamic performance index is calculated based on the command signal and the response signal, the above method for calculating the second dynamic performance index can also be used.

[0083] As an optional embodiment, the energy system is a wind turbine, photovoltaic, and energy storage combined control system. This embodiment breaks through the communication protocol barriers between different devices through the integration of communication technology and reads rich operating data. On the one hand, indicators that characterize the operating status of the wind, photovoltaic, and energy storage combined control system are selected and calculated, and by setting thresholds and standardization, the advantages and disadvantages are compared. Finally, the evidence fusion algorithm is used to obtain a static comprehensive evaluation index for evaluation; on the other hand, according to the grid dispatch instructions and the actual power response signal, the proposed algorithm is used to calculate the dynamic evaluation index to evaluate the grid response capability of the wind, photovoltaic, and energy storage combined control system, thereby achieving the technical effect of a more comprehensive and accurate performance evaluation of the energy system from both static and dynamic performance aspects, thereby solving the technical problem of being unable to perform accurate performance evaluation on the wind, photovoltaic, and energy storage system.

[0084] Based on the embodiment and optional embodiment of the present invention, the present invention proposes an optional implementation method, which is described below.

[0085] An optional embodiment of the present invention proposes a performance evaluation method for a wind-solar-storage combined control system. Figure 2This is a schematic diagram of a technical route for performance evaluation of a wind-solar-storage combined control system according to an optional embodiment of the present invention. Figure 2 As shown, an optional embodiment of the present invention includes the following steps:

[0086] A. Use converged communication technology to collect data from wind, solar and storage equipment;

[0087] B. Determine the static performance evaluation indicators of wind, solar and storage equipment and perform preprocessing;

[0088] C. Calculate the comprehensive evaluation results of static performance using evidence fusion algorithm;

[0089] D. Evaluate the dynamic performance of the wind, solar and storage combined control system in response to grid dispatch.

[0090] According to the above steps, first, based on the different communication protocols of different devices, a converged communication technology is developed to read the required data from wind turbines, photovoltaics, and energy storage systems. Second, static evaluation indicators for the operational status of wind, solar, and energy storage are determined according to actual needs. The collected data is used to calculate the indicator results and perform standardized preprocessing. Then, an evidence fusion algorithm is used to fuse the different indicator evaluation results into a static comprehensive evaluation index to evaluate the basic static performance of wind, solar, and energy storage equipment under daily operation. Next, appropriate benchmark data is selected, primarily grid dispatch instructions and actual response power. Dynamic performance indicators are calculated according to the proposed algorithm to evaluate the responsiveness of the wind, solar, and energy storage combined control system to grid dispatch. The specific operation steps and content are as follows.

[0091] In Step A, the new energy site includes wind farms, photovoltaic farms, and energy storage systems. These are different devices from different manufacturers and have different data communication methods. Therefore, a converged communication technology is designed to support power communication protocols such as IEC103, IEC104, IEC61850, MODBUS RTU, and NODBUS TCP. This technology reads relevant data from various devices, systems, and integrated data servers, and stores it in a unified performance evaluation database. Figure 3 Schematic diagram of data acquisition of a wind-solar-storage system according to an optional embodiment of the present invention.

[0092] In step B, the static performance evaluation indicators selected and the critical thresholds determined are as follows: 1) maximum deviation of active power setting value ≤1%Pe; 2) active power control overshoot ≤10%Pe; 3) voltage control accuracy ≤0.5kV; 4) reactive power control target value response time ≤30s; 5) voltage target value response time ≤120s; 6) reactive power control accuracy ≤5%; 7) primary frequency regulation response time ≤2s; 8) primary frequency regulation power stabilization time ≤5s; 9) primary frequency regulation active power deviation ≤2%Pe; 10) virtual inertia response stabilization time ≤500ms; 11) virtual inertia response control deviation ±2%Pe; 12) system input rate ≥99%; 13) timing accuracy error ≤1ms; 14) master-slave machine switching time ≤1s; 15) single machine availability ≥96%; 16) dual machine availability ≥99.9%; 17) mean time between failures ≥20,000h. For the above indicators, assuming that the critical threshold of the i-th indicator is σ (σ is given, that is, the value after the inequality sign, and is represented uniformly here for the convenience of discussion), the indicator value x(i) is preprocessed as follows:

[0093] For the smaller the better indicator:

[0094]

[0095] For indicators of the “bigger is better” type:

[0096]

[0097] Among them, A(i) represents the index value of the i-th index after preprocessing, and k is the weight coefficient, which is determined by expert experience and is used to highlight the importance of a certain type of index.

[0098] In step C, the main method for calculating the comprehensive evaluation results of static performance is as follows:

[0099] C1. Select a suitable data segment based on expert experience to calculate the index value in step B as the evaluation benchmark, or directly give a set of standard values ​​of the index as the evaluation benchmark sequence Q = [Q1, Q2, ... Q 17 ], where Q i ,(i=1,2,…,17) represents the value of the i-th index of the benchmark sequence;

[0100] C2. Input the data to be evaluated, calculate the index value in step B, and obtain the sequence to be evaluated A=[A1,A2,…A 17 ], where A i , (i=1,2,…,17) represents the value of the i-th indicator in the sequence to be evaluated. Then, the comparison and standardization of the evaluation benchmark are performed. That is, for the benchmark value and the value to be evaluated under the same indicator, the standardized benchmark sequence is obtained as follows:

[0101]

[0102] The standardized sequence to be evaluated is:

[0103]

[0104] C3. Use the following evidence fusion algorithm to calculate the index fusion results of the benchmark sequence and the index fusion results of the sequence to be evaluated:

[0105] Given the recognition framework Ω, let the function m:2 Ω →[0,1], satisfying m(Φ)=0 and S represents the focal element. Where m(·) is called the basic probability distribution function.

[0106] Let m1, m2, ... m 17 is the basic credibility distribution on the same recognition framework Ω, then

[0107]

[0108] in,

[0109] C4. The absolute value of the difference between the index fusion results of the benchmark sequence and the sequence to be evaluated is used as the comprehensive evaluation result of static performance, and the smaller the difference, the better.

[0110] In step D, Figure 4 is a schematic diagram of a dynamic performance evaluation process according to an optional embodiment of the present invention, such as Figure 4 As shown in Figure 2, the dynamic performance evaluation method for wind, solar and storage in response to grid dispatch is as follows:

[0111] Two simultaneous sequences {x(t), y(t): t=1,2,…,N} are collected, representing the grid dispatching command and the actual response power signal respectively.

[0112] (1) Calculate the cumulative deviation of two sequences:

[0113]

[0114]

[0115] in, are the means of the sequence {x(t), y(t)} respectively.

[0116] (2) Divide X(i) and Y(i) into M mutually disjoint intervals of length r, where M = [N / r]. Divide the two sequences once again in the order of i from largest to smallest and from smallest to largest, obtaining 2M subintervals.

[0117] (3) Fitting the points in the interval v (v = 1, 2, ..., 2M) yields the following results:

[0118] P X,v (i) = a0 + a1i + a2i 2 +…+a k i k ,i=1,2,…,r;k=1,2,…

[0119] P Y,v (i) = b0 + b1i + b2i 2 +…+b k i k ,i=1,2,…,r;k=1,2,…

[0120] (4) Calculate the cross-covariance function:

[0121] When v=1,2,…,M,

[0122] When v=M+1,M+2,…,2M,

[0123] (5) For 2M subintervals, take F XY The mean of (v, r) gives the q-order fluctuation function F(r)

[0124]

[0125] (6) There is a power law relationship between F(r) and r:

[0126] F(r)~r h(q)

[0127] Take the index H = h(2) when q = 2 as the index

[0128] (7) Select the new grid dispatching instruction and the actual response power signal set, and calculate the index H according to the above steps (1) to (6) j (j=1,2,…,m), normalize it:

[0129]

[0130] Among them, α and β represent the mean and standard deviation of the indicator series respectively.

[0131] (8) Calculate dynamic performance evaluation indicators:

[0132]

[0133] in,

[0134] In summary, the performance evaluation method for a wind, solar, and energy storage combined control system provided by an optional embodiment of the present invention utilizes converged communication technology to break down the communication protocol barriers between different devices and access a wealth of operational data. Firstly, indicators characterizing the operational status of the wind, solar, and energy storage combined control system are selected and calculated. By defining thresholds and standardizing them, performance is compared, and finally, an evidence fusion algorithm is used to derive a static comprehensive evaluation index for evaluation. Secondly, a proposed algorithm is used to calculate dynamic evaluation indicators based on grid dispatch instructions and actual power response signals to assess the grid response capability of the wind, solar, and energy storage combined control system.

[0135] According to an embodiment of the present invention, a performance evaluation device is also provided. Figure 5 is a structural block diagram of a performance evaluation device provided according to an embodiment of the present invention. Figure 5 As shown, the device includes: a first acquisition module 51, a first determination module 52, a second determination module 53, a second acquisition module 54, a third determination module 55 and a fourth determination module 56. The device is described below.

[0136] The first acquisition module 51 is used to acquire static performance data of the energy system; the first determination module 52 is connected to the above-mentioned first acquisition module 51, and is used to determine the static performance evaluation index corresponding to the static performance data; the second determination module 53 is connected to the above-mentioned first determination module 52, and is used to determine the static performance evaluation result of the energy system based on the static performance evaluation index; the second acquisition module 54 is connected to the above-mentioned second determination module 53, and is used to acquire the instruction signal received by the energy system and the response signal corresponding to the instruction signal; the third determination module 55 is connected to the above-mentioned second acquisition module 54, and is used to determine the dynamic performance evaluation result of the energy system based on the instruction signal and the response signal; the fourth determination module 56 is connected to the above-mentioned third determination module 55, and is used to determine the target evaluation result of the energy system based on the static performance evaluation result and the dynamic performance evaluation result.

[0137] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned performance evaluation methods.

[0138] According to an embodiment of the present invention, a computer device is also provided, including: a memory and a processor, the memory storing a computer program; the processor being configured to execute the computer program stored in the memory, wherein when the computer program is executed, the processor executes any one of the above-mentioned performance evaluation methods.

[0139] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0140] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0141] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0142] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0143] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0144] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0145] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A performance evaluation method, characterized in that: include: Obtain static performance data of energy systems; Determining a static performance evaluation index corresponding to the static performance data; Determining a static performance evaluation result of the energy system based on the static performance evaluation index; Acquiring a command signal received by the energy system and a response signal corresponding to the command signal; Determining a dynamic performance evaluation result of the energy system based on the command signal and the response signal; Determining a target evaluation result of the energy system based on the static performance evaluation result and the dynamic performance evaluation result; The determining of the dynamic performance evaluation result of the energy system based on the command signal and the response signal includes: determining a first dynamic performance indicator based on the command signal and the response signal; obtaining a baseline command signal of the energy system and a baseline response signal corresponding to the baseline command signal; determining a second dynamic performance indicator based on the baseline command signal and the baseline response signal; normalizing the first dynamic performance indicator and the second dynamic performance indicator to obtain a dynamic performance evaluation indicator; and calculating the dynamic performance evaluation result based on the dynamic performance evaluation indicator.

2. The method according to claim 1, characterized in that The obtaining of static performance data of the energy system includes: Determining the type of static performance evaluation of the energy system; Based on the static performance evaluation type, static performance data of the energy system is obtained.

3. The method according to claim 2, characterized in that The determining of the static performance evaluation index corresponding to the static performance data includes: determining a critical threshold corresponding to the static performance evaluation type; Based on the critical threshold, the static performance data is preprocessed to obtain the static performance evaluation index.

4. The method according to claim 1, wherein Determining the static performance evaluation result of the energy system based on the static performance evaluation index includes: Determine the static performance evaluation benchmark; Performing a fusion calculation on the static performance evaluation benchmark to obtain a first fusion result; Performing a fusion calculation on the static performance evaluation index to obtain a second fusion result; The static performance evaluation result is determined based on the first fusion result and the second fusion result.

5. The method according to claim 4, characterized in that The determining the static performance evaluation result based on the first fusion result and the second fusion result includes: The static performance evaluation result is determined based on an absolute value of a difference between the first fusion result and the second fusion result.

6. The method according to any one of claims 1 to 5, characterized in that The energy system is a wind turbine, photovoltaic, and energy storage combined control system.

7. A performance evaluation device, characterized in that: include: A first acquisition module is used to obtain static performance data of the energy system; A first determining module, configured to determine a static performance evaluation index corresponding to the static performance data; A second determining module, configured to determine a static performance evaluation result of the energy system based on the static performance evaluation index; a second acquisition module, configured to acquire a command signal received by the energy system and a response signal corresponding to the command signal; a third determining module, configured to determine a dynamic performance evaluation result of the energy system based on the command signal and the response signal; a fourth determining module, configured to determine a target evaluation result of the energy system based on the static performance evaluation result and the dynamic performance evaluation result; The third determination module is further configured to determine a first dynamic performance indicator based on the command signal and the response signal; obtain a reference command signal of the energy system and a reference response signal corresponding to the reference command signal; Based on the reference command signal and the reference response signal, a second dynamic performance index is determined; the first dynamic performance index and the second dynamic performance index are normalized to obtain a dynamic performance evaluation index; and based on the dynamic performance evaluation index, the dynamic performance evaluation result is calculated.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the performance evaluation method according to any one of claims 1 to 6.

9. A computer device, characterized in that: include: memory and processor, The memory stores a computer program; The processor is configured to execute a computer program stored in the memory, and when the computer program is run, the processor is enabled to execute the performance evaluation method according to any one of claims 1 to 6.

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