Energy storage and new energy station regulation capability evaluation method and system

Abstract

An energy storage and new energy station regulation capability evaluation method is characterized by comprising the following steps that an energy storage and new energy station regulation capability evaluation index system is constructed, and the constructed index system comprises voltage stability, the maximum frequency change rate, frequency deviation extreme value time, a frequency deviation extreme value and a power deviation sequence number; historical index values are collected to construct triangular intuitionistic fuzzy numbers of the evaluation indexes under different evaluations and a sorting function of the triangular intuitionistic fuzzy numbers; constructing a triangular intuitionistic fuzzy comprehensive evaluation matrix, and obtaining the influence degree, the influenced degree, the centrality and the reason degree of each evaluation index through a DEMATEL method, so as to recognize the influence mode of the evaluation indexes on the regulation capability of the station; and establishing station regulation feedback based on the evaluation indexes by utilizing the influence mode of the evaluation indexes.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and in particular to a method and system for evaluating the regulation capability of a station of energy storage + new energy. Background Art

[0002] New energy storage has the advantages of fast response, flexible configuration and short construction period. It can play multiple roles in power operation, such as peak load, peak regulation, frequency regulation, ramp climbing and black start. It is an important part of building a new power system and an important means to enhance the flexibility and safety of the new power system.

[0003] At present, the regional power grid has not yet established a dispatching and control technology system that adapts to the rapid development of energy storage equipped with new energy stations. First, due to the uncertainty of new energy output and the differences in energy storage operation characteristics, the dispatching side cannot accurately evaluate the regulation performance and regulation capacity of new energy stations with energy storage. Second, there is a multi-level section nesting effect in the large-scale new energy collection area. The automatic control software can only control through fixed strategies and cannot achieve optimal control. Most of the energy storage stations under construction are autonomously operated, with an annual rate of only hundreds of hours. The system value of energy storage has not been fully utilized. It is urgent to propose a "energy storage + new energy" station regulation capacity evaluation method based on the development characteristics and operation needs of regional power grid energy storage, which can provide reference and reference for the widespread application of energy storage in new power systems.

[0004] As the penetration rate of renewable energy increases gradually, the proportion of thermal power generation in the power system decreases significantly, and the flexibility of the power system decreases. In order to improve the power grid's control capabilities and promote the consumption of new energy. The power grid now urgently needs a more flexible dispatching and control strategy to ensure the safe and stable operation of the power system. In the study of power system dispatching and control issues, relevant researchers analyzed the daily fluctuation characteristics and seasonal characteristics of renewable energy output, summarized the problems of power and electricity balance at different time scales, and quantitatively analyzed the power supply shortage problem of a typical power grid in 2025 under the high-proportion renewable energy operation scenario by establishing a power system time series production simulation model, and proposed a new power system dispatching and control strategy. Considering the uncertainty caused by the integration of controllable loads and high-proportion renewable energy, a study proposed a two-layer multi-time scale dispatching and control strategy based on model predictive control for the integrated energy system, which improves the accuracy of the prediction while ensuring the economy of the system operation, and improves the dynamic tracking capability of the equipment and the overall energy supply dynamic response rate of the system. In order to overcome the huge challenges brought by large fluctuations in renewable energy to the planning and operation of the integrated energy system, a team proposed an improved minimum-maximum dispatching method and a control algorithm for short-term power dispatching to smooth the power dispatching of two adjacent dispatching intervals. At the same time, a team has added frequency regulation to the optimal dispatching of power systems and proposed a real-time greedy index dispatching strategy to provide frequency support for power systems involving battery energy storage. This method converts the optimal dispatching problem from a high-dimensional space to a one-dimensional space, retaining the optimality of the solution. In order to meet the optimal dispatching of electric power and achieve the optimization of economic benefits, a study has proposed an optimal power calculation model for energy storage to supplement frequency regulation. By designing a judgment model to determine whether to participate in frequency regulation based on SOC, a fair regulation power allocation model is obtained. In addition, some researchers have managed photovoltaic power stations and energy storage as a system, providing the main grid with a primary frequency regulation based on droop control under the condition of maximizing the use of photovoltaic resources. However, the regulation methods in the above methods are relatively single, and lack comprehensive dispatching and regulation of the power grid based on the comprehensive operation indicators of distributed energy.

[0005] In response to the above problems, a method and system for evaluating the regulation capacity of energy storage + new energy stations is urgently needed. Summary of the invention

[0006] In order to solve the deficiencies in the prior art, the present invention provides a method and system for evaluating the station regulation capacity of energy storage + new energy, and implements multi-objective comprehensive scheduling of energy storage + new energy by evaluating the influence of indicators.

[0007] The present invention adopts the following technical solution.

[0008] The first aspect of the present invention relates to a method for evaluating the regulation capability of a station of energy storage + new energy, and the method comprises the following steps: constructing an evaluation index system for the regulation capability of energy storage and new energy stations, wherein the constructed index system includes voltage stability, maximum frequency change rate, frequency deviation extreme time, frequency deviation extreme value, and power deviation sequence number; collecting historical index values ​​to construct triangular intuitionistic fuzzy numbers of evaluation indicators under different evaluations, and a ranking function of triangular intuitionistic fuzzy numbers; constructing a triangular intuitionistic fuzzy comprehensive evaluation matrix, and obtaining the influence, influence, centrality, and causality of each evaluation indicator through the DEMATEL method, thereby identifying the influence mode of the evaluation indicator on the regulation capability of the station; and establishing station regulation feedback based on the evaluation indicator by utilizing the influence mode of the evaluation indicator.

[0009] Preferably, a regulation capability evaluation index system for energy storage and new energy stations is constructed, including: voltage stability index is:

[0010]

[0011] Where U nCr is the critical voltage amplitude,

[0012] E k is the voltage of the voltage source in the station equivalent model,

[0013] θ and They are load power angle and source power angle respectively.

[0014] Preferably, an evaluation index system for the regulation capability of energy storage and new energy stations is constructed, including: the frequency deviation extreme value time is:

[0015]

[0016] In the formula, ω r is the damping angular frequency,

[0017] ω n is the natural oscillation angular frequency,

[0018] T R is the unit reheat time constant,

[0019] ζ is the damping ratio.

[0020] Preferably, an evaluation index system for the regulation capability of energy storage and new energy stations is constructed, including: the frequency deviation extreme value is:

[0021]

[0022] In the formula, R G is the frequency active droop coefficient of the synchronous unit,

[0023] ΔPL is the active power deviation,

[0024] K G is the gain adjustment coefficient of the synchronous unit speed governor,

[0025] Derived coefficient φ=ω r t+β,

[0026] D is the damping coefficient.

[0027] Preferably, historical indicator values ​​are collected to construct triangular intuitionistic fuzzy numbers of evaluation indicators under different evaluations, as well as a ranking function of triangular intuitionistic fuzzy numbers, including: constructing a triangular intuitionistic fuzzy number of each indicator in the indicator system under each evaluation Each evaluation k includes excellent, relatively excellent, good, medium, relatively poor, bad, and inferior; the ratio ranking function of the current triangular intuitionistic fuzzy number is calculated Values:

[0028]

[0029] θ is the evaluation tendency.

[0030] Preferably, constructing a triangular intuitionistic fuzzy comprehensive evaluation matrix includes: setting the value of θ, calculating the ratio ranking function of each triangular intuitionistic fuzzy number, thereby obtaining a triangular intuitionistic fuzzy evaluation matrix A describing the relationship between the ratio rankings of the indicators k for:

[0031]

[0032] In the formula, is the value of the ratio ranking function of the ith indicator in the kth evaluation The value of the ratio ranking function for the jth index The impact assessment value of is; n is the number of indicators.

[0033] Preferably, the influence, influence, centrality and causality of each evaluation indicator are obtained by the DEMATEL method, including: obtaining an evaluation weight for each evaluation, weighted summing each element in the triangular intuitionistic fuzzy comprehensive evaluation matrix to obtain a direct influence matrix; standardizing the direct influence matrix to obtain a standard direct influence matrix; solving the influence, influence, centrality and causality of the standard direct influence matrix based on the DEMATEL method.

[0034] The second aspect of the present invention relates to a station regulation capability evaluation system for energy storage + new energy, and the system is implemented by using a station regulation capability evaluation method for energy storage + new energy in the first aspect of the present invention; the system includes a construction module, an evaluation module, an identification module and a feedback module; the construction module is used to construct an energy storage and new energy station regulation capability evaluation index system, and the constructed index system includes voltage stability, maximum frequency change rate, frequency deviation extreme time, frequency deviation extreme value, and power deviation sequence number; the evaluation module is used to collect historical indicator values ​​to construct triangular intuitionistic fuzzy numbers of evaluation indicators under different evaluations, and a ranking function of triangular intuitionistic fuzzy numbers; the identification module is used to construct a triangular intuitionistic fuzzy comprehensive evaluation matrix, and obtain the influence, influence, centrality and cause degree of each evaluation indicator through the DEMATEL method, so as to identify the influence mode of the evaluation indicator on the station regulation capability; the feedback module is used to establish station regulation feedback based on the evaluation indicator by using the influence mode of the evaluation indicator.

[0035] A third aspect of the present invention relates to a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method according to the first aspect of the present invention.

[0036] A fourth aspect of the present invention relates to a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method in the first aspect of the present invention.

[0037] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a method and system for evaluating the regulation capacity of energy storage + new energy stations, and implements multi-objective comprehensive scheduling of energy storage + new energy by evaluating the influence of indicators. Starting from the evaluation method, the method comprehensively considers the coordinated regulation relationship between energy storage and new energy, makes full use of the fuzzy information of the fuzzy comprehensive DEMATEL method, obtains the internal logic and causal relationship between the evaluation indicators in the evaluation method, and effectively evaluates the regulation capacity of the "energy storage + new energy" station.

[0038] The beneficial effects of the present invention also include:

[0039] 1. Higher flexibility: Triangular intuitionistic fuzzy numbers can better handle uncertainty and ambiguity, provide a more flexible evaluation method, and adapt to complex decision-making environments.

[0040] 2. Enhanced expression ability: Through triangular intuitionistic fuzzy numbers, decision makers can more accurately express their judgment on the importance of each factor and capture more subjective evaluation information.

[0041] 3. Clear relationship identification: The combination of causal relationship analysis of the DEMATEL method and triangular intuitionistic fuzzy numbers can clearly identify the mutual influence between factors and help decision makers understand complex systems.

[0042] 4. Improved decision support: Combining fuzziness and causal analysis enhances the scientificity and rationality of decision support and improves the reliability of evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a flow chart of a method for evaluating the regulation capability of a station of energy storage + new energy according to the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0045] Figure 1 The figure is a flow chart of a method for evaluating the regulation capability of a station of energy storage + new energy according to the present invention. Figure 1 As shown, the first aspect of the present invention relates to a method for evaluating the regulation capability of a station of energy storage + new energy, and the method includes steps 1 to 4.

[0046] Step 1: construct an index system for evaluating the regulation capability of energy storage and new energy stations, wherein the index system includes voltage stability, maximum frequency change rate, frequency deviation extreme time, frequency deviation extreme value, and power deviation sequence number.

[0047] Construct an evaluation index system for the regulation capacity of energy storage and new energy stations, including:

[0048] The voltage stability index is:

[0049]

[0050] Where U nCr is the critical voltage amplitude,

[0051] E k is the voltage of the voltage source in the station equivalent model,

[0052] θ and They are load power angle and source power angle respectively.

[0053] Construct an evaluation index system for the regulation capacity of energy storage and new energy stations, including:

[0054] The frequency deviation extreme value time is:

[0055]

[0056] In the formula, ω r is the damping angular frequency,

[0057] ω n is the natural oscillation angular frequency,

[0058] T R is the unit reheat time constant,

[0059] ζ is the damping ratio.

[0060] Construct an evaluation index system for the regulation capacity of energy storage and new energy stations, including:

[0061] The frequency deviation extreme value is:

[0062]

[0063] In the formula, R G is the frequency active droop coefficient of the synchronous unit,

[0064] ΔP L is the active power deviation,

[0065] K G is the gain adjustment coefficient of the synchronous unit speed governor,

[0066] Derived coefficient φ=ω r t+β,

[0067] D is the damping coefficient.

[0068] The maximum frequency change rate indicator is:

[0069]

[0070] In the formula, f N is the rated frequency,

[0071] H eq is the equivalent inertia.

[0072] The power deviation sequence number is:

[0073]

[0074] i is the number of the collected active power disturbance, and N is the maximum number, which depends on the length of the optimization interval. Step 2, collect historical index values ​​to construct the triangular intuitionistic fuzzy number of the evaluation index under different evaluations, as well as the ranking function of the triangular intuitionistic fuzzy number.

[0075] The triangular intuitionistic fuzzy number membership function definition and non-membership function definition of the station regulation capacity are as follows:

[0076]

[0077] In the formula, is an intuitionistic fuzzy set on the real number set R; and are the maximum membership and minimum non-membership of a respectively.

[0078] if and are two triangular intuitionistic fuzzy numbers, then there exists:

[0079]

[0080] In the formula, ∧ means taking the minimum value.

[0081] The ratio sorting function is used to sort the fuzzy information as follows:

[0082]

[0083] In the formula, for The ratio ranking function is: θ is the evaluator's evaluation tendency, including the evaluator's tendency and attitude towards risk. θ<0.5 means that the evaluator is the type that prefers to avoid risks; θ=0.5 means that the evaluator has no clear tendency towards risk; θ>0.5 means that the evaluator tends to face risks and has a relatively positive attitude towards things. The present invention adopts θ=0.5 to indicate that there is no obvious subjective risk tendency.

[0084] Construct the triangular intuitionistic fuzzy number of each indicator in the indicator system under each evaluation

[0085] Each evaluation k includes excellent, relatively excellent, good, medium, relatively poor, bad, and inferior. This step can be classified by historical indicator values, or evaluated by expert evaluation information, so as to obtain triangular fuzzy numbers under each evaluation. In one embodiment, for a certain indicator, the comparison table of triangular objective function intuitive fuzzy numbers quantifies the regulation capacity of the "energy storage + new energy" station, and the comparison table is shown in Table 1.

[0086]

[0087] Table 1 Comparison table of evaluation information and triangular intuitionistic fuzzy numbers

[0088] Four experts in the field of station regulation capacity assessment were invited to evaluate all evaluation indicators using the pairwise comparison method, and then the triangular intuitionistic fuzzy number of the "energy storage + new energy" station regulation capacity was constructed through the comparison table in Table 1.

[0089] Triangular intuitionistic fuzzy numbers cannot be used directly to evaluate parameters. It is necessary to indirectly calculate the influence and influence of each indicator, and give a comprehensive evaluation result based on the centrality and cause degree of each indicator in the indicator system. By establishing a fuzzy comprehensive evaluation matrix for triangular intuitionistic fuzzy numbers, the fuzzy comprehensive-DEMATEL method can reflect the degree of mutual correlation between indicators and calculate the standard direct influence matrix.

[0090] Construct a triangular intuitionistic fuzzy comprehensive evaluation matrix, including:

[0091] Set the value of θ and calculate the ratio ranking function of each triangular intuitionistic fuzzy number to obtain the triangular intuitionistic fuzzy evaluation matrix A that describes the relationship between the ratio rankings of the indicators. k for:

[0092]

[0093] In the formula, is the value of the ratio ranking function of the ith indicator in the kth evaluation The value of the ratio ranking function for the jth index The impact assessment value;

[0094] n is the number of indicators.

[0095] It is easy to imagine that the elements of the matrix in one embodiment are the quotients of two proportional sorting functions.

[0096] Firstly, the fuzzy comprehensive evaluation matrix is ​​established, and then the standard direct influence matrix is ​​generated.

[0097] The influence, influence, centrality and causality of each evaluation indicator are obtained through the DEMATEL method, including: obtaining the evaluation weight for each evaluation, weighted summing each element in the triangular intuitionistic fuzzy comprehensive evaluation matrix to obtain the direct influence matrix; standardizing the direct influence matrix to obtain the standard direct influence matrix; solving the influence, influence, centrality and causality of the standard direct influence matrix based on the DEMATEL method.

[0098] Using weighted On this basis, the direct impact matrix is ​​obtained as follows:

[0099]

[0100] Then, standardization is performed to obtain the standard direct impact matrix:

[0101] X=[x ij ] n×n =S·Y

[0102] Among them, the standardization process S is:

[0103]

[0104] Step 3: construct a triangular intuitionistic fuzzy comprehensive evaluation matrix, and use the DEMATEL method to obtain the influence, influence, centrality and cause of each evaluation indicator, so as to identify the impact of the evaluation indicators on the station regulation capacity.

[0105] Based on the above steps, the influence, influence, cause and centrality of the evaluation indicators can be calculated. First, the comprehensive influence matrix is ​​calculated as:

[0106] T=X(IX) -1

[0107] Where I is the n-order unit matrix.

[0108] The impact is:

[0109]

[0110] The degree of influence is:

[0111]

[0112] The centrality and causality are calculated from the results of influence and influence. The calculation formulas for centrality and causality are:

[0113] M i =D i +R i

[0114] The reason is:

[0115] E i =D i -R i

[0116] Thus, the comprehensive impact of the importance of each indicator was obtained.

[0117] Step 4: Use the impact of the evaluation indicators to establish site adjustment feedback based on the evaluation indicators.

[0118] The importance of each evaluation indicator and its ranking in the indicators are reflected in the centrality of the evaluation results. i Reflects its influence on other indicator factors of the overall evaluation system. i>0 indicates that the impact of this indicator on other indicators is greater than the impact of other indicators on it, and this indicator is called a cause indicator, that is, an input indicator; E i <0 indicates that the impact of this indicator on other indicators is less than the impact of other indicators on it, and this indicator is called a result indicator or output indicator; E i =0 indicates that the impact of this indicator on other indicators is equal to the impact of other indicators on it, and this indicator can be eliminated.

[0119] According to the above steps, the influence, influence, cause and centrality of various "energy storage + new energy" station regulation capacity evaluation indicators are obtained, and the four groups of results of different evaluation indicators are sorted according to size. The causal relationship between different evaluation indicators can be calculated through cause and centrality, and the position of each evaluation indicator in the entire factor evaluation system can be intuitively identified.

[0120] Finally, the cause factor analysis and result factor analysis are carried out. The indicators with high influence ranking have a high degree of influence in the evaluation index system. The high degree of influence of the indicator means that it is highly affected by other factors in the index system. The high cause degree of the indicator means that the indicator is one of the foundations of other indicators. The high centrality of the indicator means that the indicator is a key influencing factor in the index system.

[0121] According to the ranking of this indicator in the indicator system, the distributed new energy grid-connected process can be scheduled in different ways. For example, if the centrality is ranked high, the value of this indicator in the indicator system can be optimized by adjusting the physical equipment of the new energy. If the influence and the degree of influence are high, the correlation function between this indicator and the dispatching power can be calculated during scheduling to feedback the station regulation of step-by-step new energy and energy storage, that is, feedback the power that can be further adjusted.

[0122] The second aspect of the present invention relates to a station regulation capability evaluation system for energy storage + new energy, and the system is implemented by using the station regulation capability evaluation method for energy storage + new energy described in the first aspect of the present invention; the system includes a construction module, an evaluation module, an identification module and a feedback module; the construction module is used to construct an energy storage and new energy station regulation capability evaluation index system, and the constructed index system includes voltage stability, maximum frequency change rate, frequency deviation extreme time, frequency deviation extreme value, and power deviation sequence number; the evaluation module is used to collect historical indicator values ​​to construct triangular intuitionistic fuzzy numbers of evaluation indicators under different evaluations, and a ranking function of triangular intuitionistic fuzzy numbers; the identification module is used to construct a triangular intuitionistic fuzzy comprehensive evaluation matrix, and obtain the influence, influence, centrality and cause degree of each evaluation indicator through the DEMATEL method, so as to identify the impact mode of the evaluation indicator on the station regulation capability; the feedback module is used to establish station regulation feedback based on the evaluation indicator by using the impact mode of the evaluation indicator.

[0123] A third aspect of the present invention relates to a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method described in the first aspect of the present invention.

[0124] A fourth aspect of the present invention relates to a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method in the first aspect of the present invention.

[0125] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0126] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0127] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0128] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the regulation capability of energy storage + new energy stations, characterized in that: The method comprises the following steps: Constructing an index system for evaluating the regulation capability of energy storage and new energy stations, wherein the index system includes voltage stability, maximum frequency change rate, frequency deviation extreme value time, frequency deviation extreme value, and power deviation sequence number; Collect historical index values ​​to construct triangular intuitionistic fuzzy numbers of evaluation indicators under different evaluations, as well as the ranking function of triangular intuitionistic fuzzy numbers; A triangular intuitionistic fuzzy comprehensive evaluation matrix is ​​constructed, and the influence, influence, centrality and cause degree of each evaluation index are obtained through the DEMATEL method, so as to identify the impact of the evaluation index on the station regulation capacity; Utilize the impact of evaluation indicators to establish site adjustment feedback based on evaluation indicators.

2. According to claim 1, a method for evaluating the station regulation capability of energy storage + new energy is characterized in that: The construction of the regulation capacity evaluation index system for energy storage and new energy stations includes: The voltage stability index is: Where U nCr is the critical voltage amplitude, E k is the voltage of the voltage source in the station equivalent model, θ and They are load power angle and source power angle respectively.

3. The method for evaluating the station regulation capability of energy storage + new energy according to claim 2 is characterized in that: The construction of the regulation capacity evaluation index system for energy storage and new energy stations includes: The frequency deviation extreme value time is: In the formula, ω r is the damping angular frequency, ω n is the natural oscillation angular frequency, T R is the unit reheat time constant, ζ is the damping ratio.

4. The method for evaluating the station regulation capability of energy storage + new energy according to claim 3 is characterized in that: The construction of the regulation capacity evaluation index system for energy storage and new energy stations includes: The frequency deviation extreme value is: In the formula, R G is the frequency active droop coefficient of the synchronous unit, ΔP L is the active power deviation, K G is the gain adjustment coefficient of the synchronous unit speed regulator, Derived coefficient φ=ω r t+β, D is the damping coefficient.

5. The method for evaluating the station regulation capability of energy storage + new energy according to claim 4 is characterized in that: The method of collecting historical index values ​​to construct triangular intuitionistic fuzzy numbers of evaluation indicators under different evaluations, and a ranking function of triangular intuitionistic fuzzy numbers, includes: Construct the triangular intuitionistic fuzzy number of each indicator in the indicator system under each evaluation Each evaluation k includes excellent, relatively excellent, good, medium, relatively poor, bad, and inferior; Calculate the ratio ranking function of the current triangular intuitionistic fuzzy number Values: θ is the evaluation tendency.

6. The method for evaluating the station regulation capability of energy storage + new energy according to claim 5 is characterized in that: The construction of a triangular intuitionistic fuzzy comprehensive evaluation matrix includes: Set the value of θ and calculate the ratio ranking function of each triangular intuitionistic fuzzy number to obtain the triangular intuitionistic fuzzy evaluation matrix A that describes the relationship between the ratio rankings of the indicators. k for: In the formula, is the value of the ratio ranking function of the ith indicator in the kth evaluation The value of the ratio ranking function for the jth index The impact assessment value; n is the number of indicators.

7. The method for evaluating the station regulation capability of energy storage + new energy according to claim 6 is characterized in that: The influence, influence, centrality and cause degree of each evaluation indicator are obtained by the DEMATEL method, including: The evaluation weight is obtained for each evaluation, and the weighted sum is performed for each element in the triangular intuitionistic fuzzy comprehensive evaluation matrix to obtain the direct impact matrix; The direct impact matrix is ​​standardized to obtain a standard direct impact matrix; Based on the DEMATEL method, the influence, influence, centrality and causality of the standard direct influence matrix are solved.

8. A station regulation capability assessment system for energy storage + new energy, characterized by: The system is implemented by using a method for evaluating the station regulation capability of energy storage + new energy as described in any one of claims 1 to 7; The system includes a construction module, an evaluation module, an identification module and a feedback module; The construction module is used to construct an evaluation index system for the regulation capability of energy storage and new energy stations, and the constructed index system includes voltage stability, maximum frequency change rate, frequency deviation extreme value time, frequency deviation extreme value, and power deviation sequence number; The evaluation module is used to collect historical indicator values ​​to construct triangular intuitionistic fuzzy numbers of evaluation indicators under different evaluations, and a ranking function of triangular intuitionistic fuzzy numbers; The identification module is used to construct a triangular intuitionistic fuzzy comprehensive evaluation matrix, and obtain the influence, influence, centrality and cause degree of each evaluation indicator through the DEMATEL method, so as to identify the impact of the evaluation indicator on the station regulation capacity; The feedback module is used to establish site adjustment feedback based on the evaluation index by utilizing the influence mode of the evaluation index.

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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