Centralized energy storage participated power grid operation evaluation method and system

Abstract

The invention discloses a centralized energy storage participated power grid operation evaluation method and system. The method comprises the following steps: establishing an energy storage participated power spot market operation effect evaluation index system and carrying out normalization processing; calculating the weight of each index after normalization processing; calculating a positive ideal solution and a negative ideal solution by using the weight of each index; respectively calculating the distance between the index and the positive ideal solution and the distance between the index and the negative ideal solution; and calculating a comprehensive evaluation value by using the obtained positive ideal solution distance and negative ideal solution distance, and realizing operation effect evaluation based on the comprehensive evaluation value. According to the method, the problem that complex power market data cannot be processed by a traditional method is solved through standardized dimension interference elimination, entropy weight method dynamic empowerment and TOPSIS space mapping, and the evaluation result is objective and comprehensive and is high in operability.

Description

Background Art

[0002] With the continuous promotion of the construction of the new power system, as a key entity for regulating resources and providing flexibility support, the operation efficiency evaluation of centralized energy storage has become the core concern of energy storage investors and power grid dispatching agencies.

[0003] Current mainstream evaluation methods such as principal component analysis, grey relational analysis, and data envelopment analysis have significant limitations in dealing with complex power system operation scenarios. This is mainly due to the technical challenges of integrating multi-source heterogeneous data in the power system: On the one hand, it is necessary to integrate ontology parameters such as energy storage charge-discharge efficiency and equivalent cycle life with system-level indicators such as power grid frequency deviation rate and peak shaving demand satisfaction. On the other hand, it is necessary to solve the coupling problem of dynamic weight allocation and multi-time scale evaluation. For example, the second-level response data in the frequency modulation auxiliary service scenario needs to be modeled synchronously with the medium- and long-term capacity benefit evaluation.

[0004] More critically, existing methods are difficult to achieve dimensionless mapping of multi-dimensional heterogeneous indicators and cannot avoid the interference of artificially set thresholds on the evaluation results, resulting in the inability to accurately quantify the inertia support contribution of energy storage in scenarios with high penetration of new energy. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a power grid operation evaluation method and system involving centralized energy storage in view of the above deficiencies in the prior art. By quantifying quantitative indicators through fuzzy methods or qualitative indicators through expert evaluation methods, a hybrid multi-criteria evaluation of centralized energy storage participating in the electricity spot market is carried out to solve the technical problems that traditional evaluation methods are difficult to apply due to the complex index system and multi-dimensional data characteristics of the electricity spot market, subjective weight assignment cannot dynamically respond to changes in market rules, single-dimensional evaluation ignores the technical-economic coupling relationship, and the lack of standardization in multi-source heterogeneous data fusion, resulting in incomplete and objective evaluation of the operation effect of centralized energy storage.

[0006] The present invention adopts the following technical solutions: A power grid operation evaluation method involving centralized energy storage, comprising the following steps: Establish an evaluation index system for the operation effect of energy storage participating in the electricity spot market and perform normalization processing; Calculate the weights of each index after normalization processing; calculate the positive ideal solution and negative ideal solution using the weights of each index; Calculate the distances between the indexes and the positive ideal solution and negative ideal solution respectively; calculate the comprehensive evaluation value using the obtained positive ideal solution distance and negative ideal solution distance, and evaluate the operation of the distribution network based on the comprehensive evaluation value.

[0007] Preferably, the evaluation index system for the operation effect of energy storage participating in the electricity spot market includes market operation effectiveness indicators and energy storage operation effectiveness indicators. The market operation effectiveness indicators include: Grid production operation indicators, reflecting the safety and reliability of the large grid operation under the current market structure; Electricity market operation indicators and social comprehensive benefit indicators, reflecting the economic and social benefits caused by the market behavior of the main body under the current market structure; The energy storage operation effectiveness indicators include: Energy storage body indicators and energy storage benefit indicators, reflecting the self - cost, capacity, market participation conditions and operation income of centralized energy storage.

[0008] Preferably, the normalization process is specifically as follows:

[0009] Among them, is the element of the data matrix after the index is positive - oriented, is the centralized energy storage the indicator value of the n - th type of indicator before the pre - processing of normalization for centralized energy storage, is the number of centralized energy storage to be evaluated, is the centralized energy storage.

[0010] Preferably, the weight of each indicator is:

[0011] Among them, is the information entropy of the n - th type of evaluation indicator, is the number of indicator types.

[0012] Preferably, the information entropy is calculated as follows:

[0013] Among them, is the number of centralized energy storage to be evaluated, is the centralized energy storage the n - th type of indicator normalization indicator accounting for the proportion of the total sum of all normalized indicators.

[0014] Preferably, the positive ideal solution and the negative ideal solution are calculated as follows:

[0015]

[0016] Among them, is the value after weighting the th index.

[0017] Preferably, the distance between the i th centralized energy storage and the positive ideal solution is as follows:

[0018] Among them, is the positive ideal solution, is the value after weighting the th index of the centralized energy storage, is the number of index types.

[0019] Preferably, the distance between the i th centralized energy storage and the negative ideal solution is as follows:

[0020] Among them, is the negative ideal solution, is the value after weighting the th index of the centralized energy storage, is the number of index types.

[0021] Preferably, according to the comprehensive evaluation value of the centralized energy storage, evaluate the operation effect of the centralized energy storage participating in the electricity spot market. The comprehensive evaluation value is calculated as follows:

[0022] Among them, is the distance between the i th centralized energy storage and the maximum value, is the distance between the i th centralized energy storage and the minimum value.

[0023] In the second aspect, the embodiments of the present invention provide a system for evaluating the operation effect of a centralized energy storage participating in the electricity spot market, including: An index module, which establishes an evaluation index system for the operation effect of the energy storage participating in the electricity spot market and performs normalization processing; A calculation module, which calculates the weights of each index after normalization processing; calculates the positive ideal solution and the negative ideal solution by using the weights of each index; An evaluation module calculates the distances between the indicators and the positive ideal solution and the negative ideal solution respectively; calculates the comprehensive evaluation value using the obtained distances to the positive ideal solution and the negative ideal solution, and evaluates the operation of the distribution network based on the comprehensive evaluation value.

[0024] In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned power grid operation evaluation method involving centralized energy storage are implemented.

[0025] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium including a computer program. When the computer program is executed by a processor, the steps of the above-mentioned power grid operation evaluation method involving centralized energy storage are implemented.

[0026] In a fifth aspect, a chip includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned power grid operation evaluation method involving centralized energy storage are implemented.

[0027] In a sixth aspect, an embodiment of the present invention provides an electronic device including a computer program. When the computer program is executed by the electronic device, the steps of the above-mentioned power grid operation evaluation method involving centralized energy storage are implemented.

[0028] Compared with the prior art, the present invention has at least the following beneficial effects: A power grid operation evaluation method involving centralized energy storage avoids one-sided problems of only looking at profits without considering quality through indicators such as economic benefits, technical performance, and market participation; automatically calculates the indicator weights using mathematical formulas, replacing manual work and preventing subjective biases. The data is uniformly converted into 0-1 standard scores. When market rules change, the algorithm automatically adjusts the importance weights of the indicators, enabling real-time adaptation to the new environment. The final result guides the optimization of the charge and discharge strategy or the adjustment of the market quotation.

[0029] Furthermore, it covers four major dimensions of economy, technology, market participation, and system support, ensuring that the evaluation covers the core areas of energy storage operation and avoiding one-sidedness caused by a single indicator.

[0030] Furthermore, the data with different dimensions is unified through the range method to eliminate the incomparability between indicators, enabling economic benefits and technical parameters to participate fairly in subsequent calculations.

[0031] Furthermore, the entropy weight method is used to automatically assign weights according to the data dispersion degree, avoiding subjective weighting biases and dynamically adapting to changes in market rules.

[0032] Further, taking the optimal / worst value in the standardized data as the benchmark, an objective reference standard is established to intuitively reflect the gap between the energy storage entity and the ideal state.

[0033] Further, the weighted Euclidean distance combines with the index weights to strengthen the influence of key indicators (such as the frequency modulation response rate) on the result and quantitatively evaluate the relative position of the evaluation object in the evaluation space.

[0034] Further, the multi-dimensional indicators are transformed into scores in the 0-1 interval through the closeness degree to intuitively divide the operation levels and support horizontal comparison and strategy optimization.

[0035] It can be understood that the beneficial effects of the second to sixth aspects above can be referred to the relevant descriptions in the first aspect above and will not be elaborated here.

[0036] In summary, the present invention eliminates the dimension interference through standardization, dynamically assigns weights by the entropy weight method, and maps through TOPSIS space, solves the problem that the traditional method cannot handle complex power market data, and the evaluation result is objective, comprehensive and highly operable.

[0037] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. Description of the Drawings

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application, and those of ordinary skill in the art can also obtain other drawings according to these drawings without creative efforts.

[0039] Figure 1 It is the flowchart of the method of the present invention; Figure 2 It is the evaluation index diagram of the centralized energy storage participating in the electricity spot market; Figure 3 It is the schematic diagram of the computer device provided by an embodiment of the present invention; Figure 4 It is the block diagram of an electronic device provided by an embodiment of the present invention.

[0040] Among them, 60. Computer device; 61. Processor; 62. Memory; 63. Computer program; 600. Electronic device; 610. Processing unit; 620. Storage unit; 6201. Random access storage unit; 6202. Cache storage unit; 6203. Read-only storage unit; 6204. Program / utilities; 6205. Program module; 630. Bus; 640. Display unit; 650. Input / output interface; 660. Network adapter; 700. External device. Detailed implementation mode

[0041] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0042] In the description of the present invention, it should be understood that the terms "include" and "comprise" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0043] It should also be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0044] It should be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the related listed items, and includes these combinations. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally represents an "or" relationship between the front and rear related objects.

[0045] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present invention to describe preset ranges, etc., these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range can also be referred to as the second preset range, and similarly, the second preset range can also be referred to as the first preset range.

[0046] Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detecting (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)".

[0047] Various structural schematic diagrams according to the disclosed embodiments of the present invention are shown in the accompanying drawings. These drawings are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary. In practice, there may be deviations due to manufacturing tolerances or technical limitations, and those skilled in the art can design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0048] The present invention provides a method for evaluating power grid operation involving centralized energy storage, which establishes evaluation indicators for power grid production operation, power market operation, social comprehensive benefits, energy storage itself, and energy storage benefits that reflect the participation of centralized energy storage in the electricity spot market; normalizes the above evaluation indicators; then calculates the weights of the evaluation indicators; calculates the positive ideal solution and negative ideal solution according to the weights; calculates the distances between the indicators and the positive and negative ideal solutions according to the positive and negative ideal solutions; finally calculates the comprehensive evaluation value of the effectiveness of energy storage participating in the electricity spot market operation, and realizes the evaluation of the distribution network operation based on the obtained comprehensive evaluation value, effectively solving the adaptability problem of traditional methods in the reliability evaluation of the power market.

[0049] Embodiment 1 A method for evaluating power grid operation involving centralized energy storage according to the present invention includes the following steps: S1. Establish an evaluation index system for the operation effect of energy storage participating in the electricity spot market; The primary indicators are: market operation effectiveness indicators, energy storage operation effectiveness indicators; The secondary indicators are: power grid production operation indicators, power market operation indicators, social comprehensive benefit indicators, energy storage body indicators, and energy storage benefit indicators.

[0050] Among them, the power grid production operation indicators reflect the safety and reliability of the operation of the large power grid under the current market structure; The power market operation indicators and social comprehensive benefit indicators reflect the economic and social benefits caused by the market behavior of the main body under the current market structure; The energy storage body indicators and energy storage benefit indicators reflect various characteristics such as the own cost, capacity, market participation conditions, and operation income of centralized energy storage.

[0051] S2. Normalize the evaluation indicators; (1) S3. Calculate the weights of each indicator; After processing, a data matrix is formed , for a certain indicator , the information entropy is calculated as follows: (2) Among them: (3) The weight is: (4) Let the element of the normalized data matrix be , and obtain the element of the data matrix after the index is normalized to the positive direction as follows: (5) S4. Calculate the positive ideal solution and the negative ideal solution; After processing, a data matrix is formed ; Define the maximum value of each column as the positive ideal solution, specifically as follows: (6) Define the minimum value of each column as the negative ideal solution, specifically as follows: (7) S5. Use the positive ideal solution and the negative ideal solution obtained in step S4 to calculate the distance between the index and the positive (negative) ideal solution; Define the distance between the evaluation index of the i th centralized energy storage and the maximum value as the distance to the positive ideal solution, specifically as follows: (8) Define the distance between the evaluation index of the i th centralized energy storage and the minimum value as the distance to the negative ideal solution, specifically as follows: (9) S6. Use the distance to the positive ideal solution and the distance to the negative ideal solution obtained in step S5 to calculate the comprehensive evaluation value, and evaluate the operation of the distribution network participated by the centralized energy storage according to the numerical value of the comprehensive evaluation value of the centralized energy storage .

[0052] The comprehensive evaluation value is: (10) It can be seen that 0 ≤ ≤ 1. When is larger, is smaller, indicating that the index is closer to the maximum value as the distance from the maximum value is smaller.

[0053] Those skilled in the art can understand that various aspects of the present invention can be implemented as a system, a method, or a program product. Therefore, various aspects of the present invention can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuit", "module", or "platform".

[0054] Embodiment 2 The present invention provides a system for evaluating the operation effect of centralized energy storage participating in the electricity spot market, which can be used to implement the above-mentioned power grid operation evaluation method for centralized energy storage participation. Specifically, the system for evaluating the operation effect of centralized energy storage participating in the electricity spot market includes an index module, a calculation module, and an evaluation module.

[0055] Among them, the index module establishes an evaluation index system for the operation effect of energy storage participating in the electricity spot market and performs normalization processing; The evaluation index system for the operation effect of energy storage participating in the electricity spot market includes market operation effectiveness indexes and energy storage operation effectiveness indexes. The market operation effectiveness indexes include: Power grid production operation indexes, which reflect the safety and reliability of the large power grid operation under the current market structure; Power market operation indexes and social comprehensive benefit indexes, which reflect the economic and social benefits caused by the market behavior of the main body under the current market structure; The energy storage operation effectiveness indexes include: Energy storage body indexes and energy storage benefit indexes, which reflect the self - cost, capacity, market participation conditions, and operation income of centralized energy storage.

[0056] The normalization processing is specifically as follows:

[0057] Among them, is the element of the data matrix after index positive - orientation, is for centralized energy storage the index value before the pre - normalization processing of the th type of index, is the number of centralized energy storage to be evaluated,

[0058] The calculation module calculates the weights of each index after normalization processing; calculates the positive ideal solution and the negative ideal solution using the weights of each index; The weights of each index are:

[0059] Among them, is the The information entropy of the class evaluation index is the number of index types.

[0060] Information entropy is calculated as follows:

[0061] where is the number of centralized energy storages to be evaluated, is the centralized energy storage the class index normalized index accounts for the proportion of the total sum of all normalized indexes.

[0062] The evaluation module calculates the distances between the indexes and the positive ideal solution and the negative ideal solution respectively; the comprehensive evaluation value is calculated using the obtained distances to the positive ideal solution and the negative ideal solution, and the operation of the distribution network is evaluated based on the comprehensive evaluation value.

[0063] Positive ideal solution and negative ideal solution are calculated as follows:

[0064]

[0065] where is the centralized energy storage the numerical value after weighting the

[0066] the i distance between the th centralized energy storage and the maximum value is the distance to the positive ideal solution

[0067] where is the positive ideal solution, is the centralized energy storage the numerical value after weighting the th index,

[0068] the i distance between the th centralized energy storage and the minimum value is the distance to the negative ideal solution

[0069] where is the negative ideal solution, is the centralized energy storage the numerical value after weighting the is the number of index types.

[0070] According to the centralized energy storage of the comprehensive evaluation value of the numerical value to evaluate the operation effect of the centralized energy storage participating in the electricity spot market. The comprehensive evaluation value is calculated as follows:

[0071] Among them, is the distance between the i th centralized energy storage and the maximum value, is the distance between the i th centralized energy storage and the minimum value.

[0072] Embodiment 3 The present invention provides a terminal device, which includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Graphics Processing Unit (GPU), Tensor Processing Unit (TPU), Digital Signal Processor (DSP), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the power grid operation evaluation method participated by the centralized energy storage, including: Establish an evaluation index system for the operation effect of the energy storage participating in the electricity spot market and perform normalization processing; calculate the weights of each index after normalization processing; calculate the positive ideal solution and the negative ideal solution using the weights of each index; calculate the distances between the indexes and the positive ideal solution and the negative ideal solution respectively; calculate the comprehensive evaluation value using the obtained positive ideal solution distance and negative ideal solution distance, and evaluate the operation of the distribution network based on the comprehensive evaluation value.

[0073] Please refer to Figure 3, the terminal device is a computer device. The computer device 60 in this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, it implements the grid operation evaluation method involving centralized energy storage in the embodiment. To avoid repetition, it will not be elaborated here one by one. Alternatively, when the computer program 63 is executed by the processor 61, it implements the functions of each model / unit in the evaluation system for the operation effect of centralized energy storage participating in the electricity spot market. To avoid repetition, it will not be elaborated here one by one.

[0074] The computer device 60 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art can understand that Figure 3 merely examples of the computer device 60, which do not constitute a limitation on the computer device 60, may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the computer device may also include input / output devices, network access devices, buses, etc.

[0075] The so-called processor 61 may be a central processing unit (CPU), or may also be other general-purpose processors, a graphics processing unit (GPU), a tensor processing unit (TPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0076] The memory 62 may be an internal storage unit of the computer device 60, such as the hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk equipped on the computer device 60, a smart media card (SMC), a secure digital (SD) card, a flash card, etc.

[0077] Further, the memory 62 may also include both the internal storage unit of the computer device 60 and external storage devices. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0078] Please refer to Figure 4 , the terminal device is the electronic device 600, and the electronic device 600 is presented in the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, etc.

[0079] Among them, the storage unit stores program code, and the program code can be executed by the processing unit 610, so that the processing unit 610 executes the steps according to various exemplary embodiments of the present invention described in the above method part of this specification. For example, the processing unit 610 can execute steps as shown in Figure 1 .

[0080] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 6201 and / or a cache storage unit 6202, and may further include a read-only storage unit (ROM) 6203.

[0081] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205. Such program modules 6205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment.

[0082] The bus 630 may represent one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any one of the multiple bus structures.

[0083] The electronic device 600 can also communicate with one or more external devices 700 (such as a keyboard, a pointing device, a Bluetooth device, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 600, and / or communicate with any device that enables the electronic device 600 to communicate with one or more other computing devices (such as a router, a modem). Such communication can be carried out through the input / output interface 650. Moreover, the electronic device 600 can also communicate with one or more networks (such as a local area network, a wide area network, and / or a public network, such as the Internet) through the network adapter 660. The network adapter 660 can communicate with other modules of the electronic device 600 through the bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

[0084] Embodiment 4 The present invention also provides a storage medium, specifically a computer-readable storage medium, which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and, of course, the extended storage medium supported by the terminal device. It can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. And, in this storage space, one or more instructions suitable for being loaded and executed by the processor are also stored, and these instructions can be one or more computer programs (including program codes). It should be noted that more specific examples of the computer-readable storage medium here include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0085] The computer-readable storage medium also includes a data signal propagated in a baseband or as part of a carrier wave, which carries the readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium can also be any readable medium other than the readable storage medium, and this readable medium can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium can be transmitted using any appropriate medium, including but not limited to wireless, wired, optical fiber cable, radio frequency, etc., or any suitable combination of the above.

[0086] The program code for performing the operations of the present invention can be written in any combination of one or more programming languages. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, executed as an independent software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user's computing device through any type of network, including a local area network or a wide area network, or can be connected to an external computing device (for example, by using an Internet service provider to connect through the Internet).

[0087] One or more instructions stored in the computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the grid operation evaluation method involving centralized energy storage in the above embodiments; one or more instructions in the computer-readable storage medium are loaded and executed by the processor to perform the following steps: Establish an evaluation index system for the operation effect of energy storage participating in the electricity spot market and perform normalization processing; calculate the weights of each index after normalization processing; calculate the positive ideal solution and the negative ideal solution using the weights of each index; calculate the distances between the indexes and the positive ideal solution and the negative ideal solution respectively; calculate the comprehensive evaluation value using the obtained distances of the positive ideal solution and the negative ideal solution, and evaluate the operation of the distribution network based on the comprehensive evaluation value.

[0088] The databases involved in the various embodiments provided in the present application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., and is not limited thereto. The processors involved in the various embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., and is not limited thereto.

[0089] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Generally, the components described and shown in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.

[0090] To more clearly illustrate the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the embodiments.

[0091] The present invention has established a four-level evaluation index system, which is specifically as follows: The primary indicators are: market operation effectiveness, energy storage operation effectiveness; The secondary indicators are: grid production operation, power market operation, social comprehensive benefits, energy storage entity, and energy storage benefits.

[0092] Among them, grid production operation reflects the safety and reliability of large grid operation under the current market structure; The power market operation and social comprehensive benefit indicators reflect the economic and social benefits caused by the market behavior of the main body under the current market structure; Energy storage operation benefits reflect various characteristics such as the self-cost, capacity, market participation conditions, and operation income of centralized energy storage.

[0093] Please refer to Figure 2 , and analyze the specific information of the secondary indicators and below: (1) Grid production operation indicators Evaluate grid production operation from the power generation quantity, production benefits from the grid perspective, and indicators representing grid safety, as shown in Table 1 specifically.

[0094] Table 1 Grid production operation evaluation indicators

[0095] 1) Power generation quantity indicator It includes the peak-valley power quantity and average power output in the typical power quantity curves of different seasons in a given area, and is used to analyze the power output level of the grid in the given area.

[0096] 2) Production benefit indicator The production benefits of the power grid are mainly considered from aspects such as power loss and line congestion, including mainly five aspects: line loss rate, section congestion, congestion cost, power fluctuation variance, and peak-valley difference.

[0097] ① Line loss rate, which describes the electrical energy lost in the power grid within a given area and is calculated using the line parameter matrix and power flow data of the power grid within the area.

[0098] ② Section congestion, which describes the situation where the load of the power grid within a given area exceeds the line limit. The line set including energy storage nodes can be selected as the reference section, and the calculation is carried out using the line power flow and the basic line transmission limit power.

[0099] ③ Congestion cost, which describes the economic loss brought to the power grid by congestion and is calculated using nodal electricity prices.

[0100] ④ Power fluctuation variance. Considering the volatility of new energy outputs such as wind and light, this index describes the smoothness of the power output of the power grid and is calculated using the variance between the power output value per unit time of the typical curve and the average power output value.

[0101] ⑤ Peak-valley difference, which describes the flexibility of the power output level of the power grid and is calculated using the peak power output and valley power output of the typical curve.

[0102] 3) Power grid security indicators, which are mainly described from three aspects: the situation of power grid voltage over-limit, the capacity-load ratio of main transformers, and the line load rate.

[0103] ① Bus voltage, obtain the bus voltages at the nodes of equipment including energy storage, main load points, and main power sources, and count the number of voltage over-limit times, over-limit directions, and over-limit values.

[0104] ② Capacity-load ratio of main transformers, select the ratio of the total capacity of main transformers under different voltage levels to the corresponding power supply load ③ Maximum line load rate, which describes the ratio of the maximum load that appears on the line to the maximum load capacity of the line itself.

[0105] (2) Market operation indicators Table 2 Power market operation evaluation indicators

[0106] Evaluate the operation of the power market from four aspects: market entities, market trading conditions, market concentration, and market economy, and form a market operation index evaluation system.

[0107] 1) Market entities ① Installed capacity of market entities, which is described by the proportion of the installed capacity of the entities participating in the market to the installed capacity of the planned target.

[0108] ② Market power of market entities, which describes the ability of power generators to manipulate market price changes and is calculated using the successful transaction volumes of each market entity on typical days (months) and the total successful transaction volume of the electricity market on typical days (months).

[0109] ③ Market entity diversity, which describes the number and types of market entities actually participating in the market.

[0110] 2) Market transactions ① Total market transaction volume, which describes the relationship between the total transaction volume of the electricity market and the total installed capacity actually participating in the market and is calculated using the ratio of the two data.

[0111] ② Proportion of spot market transaction volume. The total power generation on the day represents the total transaction volume of the market, and total = medium- and long-term + others ③ Proportion of large and small users in the market. Users below the threshold value are marked as small users (these small users can purchase electricity through virtual power plants, load aggregators or participate in the electricity market). ④ Variance of electricity price fluctuations. For the electricity selling side, the nodal marginal electricity price of typical days (24 hours) is required. It can analyze time periods or obtain the fluctuations of the whole day. The comparison with or without energy storage can be combined with the comparison of years. 3) Market concentration ① Lerner index, which describes the deviation between the clearing price and the marginal cost of the electricity market. ② Top-m index, which describes the proportion of the electricity generation of the largest m power generators in the market. ③ HHI index, which describes the sum of the squares of the percentages of market entities in the total industry revenue or total assets. ④ Residual supply capacity index, which describes the importance of a certain market entity for the balance between supply and demand. 4) Market economy ① Difference in nodal electricity prices, which compares the difference between the average nodal electricity price of all nodes in the grid and the nodal electricity price of the node where the energy storage is located.

[0112] ② Average electricity purchase cost, which is analyzed by the sum of production cost, electricity purchase cost ratio and energy storage configuration cost and the total electricity purchase volume.

[0113] ③ Price-cost index, where the offer represents the marginal price of the simulated system.

[0114] (3) Social comprehensive benefit indicators The social comprehensive benefit is mainly evaluated from two aspects: environmental friendly benefit and social economic benefit.

[0115] Table 3 Social benefit evaluation indicators

[0116] 1) Environmental friendly benefit ① Clean energy utilization rate, which describes the proportion of clean energy in the total electricity consumption of society in the power system and reflects the development level of clean energy.

[0117] ② Carbon emissions, which describe the carbon emission intensity of market entities during the power generation process.

[0118] 2) Socio-economic benefits ① Unit energy supply cost, which describes the share of the per-kWh power generation cost of market entities in the marginal cost of the total power generation in the market.

[0119] ② Delaying grid construction, which describes the economic losses brought by energy storage to alleviate the low utilization rate of grid investment.

[0120] (4) Energy storage operation effectiveness indicators Since energy storage has two-way flexible adjustment capabilities, the operation effectiveness of large-scale centralized energy storage has a direct impact on the operation and stability of the power grid. The inherent indicators of energy storage will also affect the bidding behavior of energy storage in the power market, and thus affect the revenue of energy storage in the power market. Therefore, the operation effectiveness of energy storage participating in the power market is analyzed from two aspects: energy storage cost and benefit indicators.

[0121] Table 4 Energy storage operation effectiveness evaluation indicators

[0122] 1) Energy storage cost Energy storage cost is divided into system energy cost (10,000 yuan / (MW·h)) and system power cost (10,000 yuan / (MW)), which are used to evaluate the system costs of the same energy storage technology applied in capacity-type and power-type scenarios respectively.

[0123] 2) Energy storage operation revenue ① Dynamic investment recovery period, considering the depreciation rate and net present value, calculates the per-kWh energy storage cost after accumulating the present values of each year.

[0124] ② Energy storage low-carbon benefit, which describes the emission reduction benefit brought by energy storage combined with thermal power units or industrial users.

[0125] Evaluate the operation effectiveness of energy storage participating in the power spot market under four different energy storage capacity configurations. The four energy storage capacity configurations are shown in Table 5: Table 5 Different types of energy storage configuration

[0126] The evaluation mainly uses indicators such as the annual average system marginal wholesale price (SMPs), total system generation cost, net profit of the power system, and market carbon emissions of a provincial power market. The specific indicators are shown in Table 6: Table 6 Evaluation index data

[0127] It can be seen from Table 6 that: (1) The addition of energy storage has the most obvious impact on the system marginal price. With the increase of the energy storage ratio, the impact on the net income of all entities in the market is relatively large. It can be seen that the increase in the total energy storage capacity leads to a decrease in the wholesale electricity price, which is because the increase in the energy storage capacity can promote the consumption of renewable energy power generation, increasing the possibility of the clean generating units being dispatched in the electricity market. According to the current different coal prices, the cost per kWh of each province fluctuates between 0.2 - 0.4 yuan / kWh. The addition of energy storage makes the overall cost per kWh of the market units show a downward trend.

[0128] (2) In Case B, large-scale energy storage capacity is added on the basis of Case A, including compressed air energy storage, pumped storage, and large-scale battery energy storage capacity; in Case C, large-scale battery energy storage is added on the basis of Case B. The increase in the capacity of large-scale energy storage units leads to the replacement of the electricity originally stored by small-scale battery energy storage by large-scale battery energy storage. On the one hand, large-scale energy storage has a lower marginal cost than small-scale energy storage, and on the other hand, it can promote the consumption of more low-cost clean energy in the electricity market, that is, large-scale energy storage technology can cause a greater decrease in the cost of market generating units compared with small-scale energy storage technology. In Case C of energy storage, large-scale energy storage promotes the replacement of traditional units by renewable energy units with lower marginal electricity prices, and the total power generation cost of the system decreases from Case B to Case C of energy storage. Therefore, from the perspective of cost, an appropriate energy storage capacity in the electricity market can, to a certain extent, promote the operation of the electricity market and reduce the market cost. Although large-scale energy storage is added in Case D of energy storage on the basis of Case C of energy storage, the simulation result of its total system cost is still higher than that of Case C of energy storage. The reason is that the energy storage capacity in the typical regional electricity market is relatively excessive. When the energy storage capacity is excessive, it can no longer promote more consumption of the existing clean energy in the market, but increases the marginal cost of the redundant energy storage units in the electricity market.

[0129] (3) As the capacity of the energy storage unit increases, the total market revenue decreases slightly. Since energy storage can promote clean power generation in the system, the supply curve shifts to the right, that is, the market transaction electricity price decreases, which in turn leads to a decrease in the overall revenue of the units in a certain provincial electricity market.

[0130] (4) The total CO2 emissions in the power market increase from Energy Storage Case A to Energy Storage Case C. One of the main reasons is that the services provided by energy storage in the power market mainly exist in the form of arbitrage, charging the price difference between discharging and charging. The charging source comes from the low-price electricity generated by traditional coal-fired power generation units at night. During the day, the discharging competes with traditional gas-fired power generation units at the marginal electricity price. The net effect is equivalent to the competition between coal-fired power units with a higher carbon intensity and gas-fired power units with a relatively lower carbon intensity, which will generally increase carbon emissions. Considering the above reasons, there is an upward trend in carbon emissions from Energy Storage Case A to Energy Storage Case C. The carbon emissions decrease from Energy Storage Case C to Energy Storage Case D because the pumped-storage units and compressed air energy storage in the case increase significantly. The marginal costs of these two large-scale energy storage technologies are lower than those of battery energy storage, and they can store electricity generated by units with a relatively lower carbon intensity such as gas other than coal-fired power units to participate in the marginal electricity price competition in the power market. Therefore, the energy storage unit combination in Energy Storage Case D can reduce carbon emissions in the power market.

[0131] For the above four capacity configurations, the comprehensive evaluation results of the operation effectiveness of the distribution network with centralized energy storage participating in the electricity spot market are shown in Table 7 as follows: Table 7 Comprehensive Evaluation Results of the Operation Effectiveness of Energy Storage with Different Capacity Configurations Participating in the Electricity Spot Market

[0132] It can be seen from Table 7 that as the energy storage capacity configuration increases, the comprehensive operation effectiveness of the energy storage participating in the electricity spot market is better; however, when the capacity configuration is 20%, the comprehensive operation effectiveness of the electricity spot market is less than that of the 15% capacity configuration because as the energy storage configuration capacity increases, the cost of the energy storage increases.

[0133] To sum up, for the grid operation evaluation method and system with centralized energy storage participation in the present invention, by constructing the operation indicators of centralized energy storage participating in the electricity spot market, it avoids the problems of complex energy market evaluation systems, a large number of indicators, and the mixing of indicators with different dimensions, improves the usability of the indicators, and the proposed operation effect evaluation method for centralized energy storage participating in the power market has a clear calculation logic and is convenient for computer system implementation.

[0134] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above-mentioned functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0135] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0136] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0137] In the embodiments provided by the present invention, it should be understood that the disclosed device / terminal and method can be implemented in other ways. For example, the device / terminal embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division, and there can be other division methods in actual implementation. For example, 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 displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0138] The unit described as a separated component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0139] In addition, the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software functional units.

[0140] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above-mentioned embodiment methods of the present invention may also be completed by instructing related hardware through a computer program. The computer program may be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned method embodiments may be implemented. Among them, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0141] This application is described with reference to the flowcharts and / or block diagrams of methods, devices, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a device for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0142] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including an instruction device, and the instruction device implements the process in Figure 1One or more processes and / or blocks Figure 1 The functions specified in one or more blocks.

[0143] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 One or more processes and / or blocks Figure 1 The steps of the functions specified in one or more blocks.

[0144] The above content is only to illustrate the technical idea of the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution according to the technical idea proposed by the present invention fall within the protection scope of the claims of the present invention.

Claims

1. A method for evaluating power grid operation involving centralized energy storage, characterized in that, Including the following steps: Establish an evaluation index system for the operation effect of energy storage participating in the electricity spot market and conduct normalization processing; Calculate the weights of each index after normalization processing; calculate the positive ideal solution and negative ideal solution using the weights of each index; Calculate the distances between the index and the positive ideal solution and negative ideal solution respectively; calculate the comprehensive evaluation value using the obtained positive ideal solution distance and negative ideal solution distance, and evaluate the operation of the distribution network based on the comprehensive evaluation value.

2. The grid operation evaluation method involving centralized energy storage according to claim 1, wherein The evaluation index system for the operation effect of energy storage participating in the electricity spot market includes market operation effectiveness indicators and energy storage operation effectiveness indicators. The market operation effectiveness indicators include: Grid production operation indicators, reflecting the safety and reliability of the operation of the large grid under the current market structure; Electricity market operation indicators and social comprehensive benefit indicators, reflecting the economic and social benefits caused by the market behavior of the main body under the current market structure; The energy storage operation effectiveness indicators include: Energy storage body indicators and energy storage benefit indicators, reflecting the self-cost, capacity, market participation conditions and operation income of centralized energy storage.

3. The grid operation evaluation method involving centralized energy storage according to claim 1, characterized in that The normalization processing specifically is: Among them, is the element of the data matrix after index positive transformation, is the centralized energy storage The index value before the pre - processing of normalization of the is the number of centralized energy storages to be evaluated, is the centralized energy storage.

4. The grid operation evaluation method involving centralized energy storage according to claim 1, wherein Weights of each indicator are as follows: Among them, is the information entropy of the th type of evaluation index, and is the number of index types.

5. The grid operation evaluation method involving centralized energy storage according to claim 4, characterized in that Information entropy The calculation is as follows: Among them, is the number of centralized energy storages to be evaluated, is the normalized index of the centralized energy storage of the th type as the proportion of the total sum of all normalized indices.

6. The grid operation evaluation method involving centralized energy storage according to claim 1, characterized in that Positive ideal solution and negative ideal solution The calculation is as follows: Among them, is the value after weighting the th index.

7. The grid operation evaluation method involving centralized energy storage according to claim 6, characterized in that The i distance between the centralized energy storage and the positive ideal solution in terms of the maximum value is: Among them, is the positive ideal solution, is the centralized energy storage the value after weighting the th index, and is the number of index types. It should be noted that there may be some inaccuracies in the original text structure and expression, which may lead to less smooth translation. If possible, it is recommended to check and clarify the original content for a more accurate translation.

8. The grid operation evaluation method involving centralized energy storage according to claim 6, characterized in that The i distance between the centralized energy storage and the negative ideal solution with the minimum value is as follows: Among them, is the negative ideal solution, is the value after weighting the th index, is the number of index types.

9. The grid operation evaluation method involving centralized energy storage according to claim 1, characterized in that According to the comprehensive evaluation value of centralized energy storage evaluate the operation effect of centralized energy storage participating in the electricity spot market. The comprehensive evaluation value is calculated as follows: is calculated as follows: Among them, is the distance between the i th centralized energy storage and the maximum value, is the distance between the i th centralized energy storage and the minimum value.

10. A power grid operation evaluation system involving centralized energy storage, characterized in that Including: An index module, which establishes an evaluation index system for the operation effect of energy storage participating in the electricity spot market and conducts normalization processing; A calculation module, which calculates the weights of each index after normalization processing; Calculates the positive ideal solution and negative ideal solution using the weights of each index; An evaluation module, which calculates the distances between the index and the positive ideal solution and negative ideal solution respectively; calculates the comprehensive evaluation value using the obtained positive ideal solution distance and negative ideal solution distance, and evaluates the operation of the distribution network based on the comprehensive evaluation value.

11. A computer-readable storage medium storing one or more programs, characterized in that, The one or more programs include instructions that, when executed by a computing device, cause the computing device to execute the method according to any one of claims 1 to 9.

12. A computing device, characterized in that, Including: One or more processors, a memory, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the method according to any one of claims 1 to 9.

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