Fuzzy variable weight-based applicability analysis method for new technology in transformer substation

Abstract

The invention relates to the field of power systems, and particularly discloses a fuzzy variable weight-based applicability analysis method for new technologies in a transformer substation, which comprises the following steps of: constructing an applicability evaluation index system of the new technologies in the transformer substation, and weighting each evaluation index in the applicability evaluation index system by adopting different weighting methods for each new technology, obtaining a plurality of weights of each evaluation index in the new technology; according to the plurality of weights of each evaluation index in each new technology, utilizing a game theory to obtain a comprehensive weight of each evaluation index in each new technology; dynamically correcting the comprehensive weight of each evaluation index in each new technology by using a variable weight theory to obtain a corrected weight of each evaluation index in each new technology; and according to each evaluation index value of each new technology and the correction weight of each evaluation index in each new technology, utilizing a fuzzy matter element analysis method and a TOPSIS method to obtain an applicability value of each new technology. According to the method, more accurate and effective decision support can be provided for comparison and selection of substation expansion schemes.

Description

Technical Field

[0001] The invention relates to the field of power systems, and in particular to a method for analyzing the applicability of new technologies in a substation based on fuzzy variable weights. Background Art

[0002] In recent years, with the rapid development of energy structure transformation and electricity demand, my country has proposed to accelerate the promotion of smart substations to undertake systematic digital and intelligent pilot tasks, and conduct in-depth exploration and trial in technology innovation, operation mode, development format, etc. Among them, in order to actively respond to the needs of new power system construction and realize the intelligent transformation of substations, the introduction of new technologies (including new equipment) in substations has become an inevitable trend for the future development of substations.

[0003] At present, the new technology is still in the early stage of promotion, and there are still many unknowns about its effectiveness in production and its compatibility with substations. Based on this, it is very important to conduct a scientific and comprehensive evaluation of the applicability of the new technology before introducing it on a large scale in substations. Summary of the invention

[0004] To this end, the present invention provides a method for analyzing the applicability of new technologies in a substation based on fuzzy variable weights, in an effort to solve or at least alleviate the above problems.

[0005] According to one aspect of the present invention, a method for analyzing the applicability of new technologies in substations based on fuzzy variable weights is provided, comprising: constructing an applicability evaluation index system for new technologies in substations, and for each new technology, weighting each evaluation index in the applicability evaluation index system by adopting different weighting methods to obtain multiple weights of each evaluation index in the new technology; according to the multiple weights of each evaluation index in each new technology, using game theory to obtain the comprehensive weight of each evaluation index in each new technology; according to the values ​​of each evaluation index of each new technology, using variable weight theory to dynamically correct the comprehensive weight of each evaluation index in each new technology, so as to obtain the corrected weight of each evaluation index in each new technology; according to the values ​​of each evaluation index of each new technology and the corrected weight of each evaluation index in each new technology, using fuzzy matter-element analysis method and approximate ideal solution sorting method, obtain the applicability value of each new technology, so as to introduce adapted new technologies for different substations.

[0006] Optionally, in the applicability analysis method of new technologies in substations based on fuzzy variable weights according to the present invention, the applicability evaluation index system includes one or more of the following evaluation indicators: design compliance, construction period, construction land, equipment life span, new equipment failure rate, comprehensive voltage qualification rate, online monitoring rate, expected electricity savings, expected green electricity guarantee, expected reduction in noise pollution, investment cost, operation and maintenance cost, expected cost savings, expected reduction in power outage losses, and internal rate of return.

[0007] Optionally, in the applicability analysis method of new technologies in substations based on fuzzy variable weights according to the present invention, game theory is used to obtain the comprehensive weights of each evaluation indicator in each new technology based on multiple weights of each evaluation indicator in each new technology, including: for each new technology, multiple initial weight vectors are constructed, and any initial weight vector is composed of the weights of each evaluation indicator in the new technology obtained using the same weighting method; an objective function is constructed with the goal of minimizing the deviation of all weighted weight vectors and their corresponding initial weight vectors, and any weighted weight vector is the product of an initial weight vector and its undetermined weight coefficient; the objective function is solved to obtain the weight coefficient of each initial weight vector; based on each initial weight vector and the weight coefficient of each initial weight vector, the comprehensive weight of each evaluation indicator in the new technology is obtained.

[0008] Optionally, in the applicability analysis method of new technologies in substations based on fuzzy variable weights according to the present invention, the comprehensive weights of each evaluation indicator in each new technology are dynamically corrected using variable weight theory according to the evaluation indicator values ​​of each new technology to obtain the corrected weights of each evaluation indicator in each new technology, including: for each new technology, according to the mean of each evaluation indicator and the evaluation indicator values ​​and the equalization factor of the new technology, obtaining the equilibrium value of each evaluation indicator of the new technology; using the equilibrium value of each evaluation indicator of the new technology, correcting the comprehensive weights of each evaluation indicator in the new technology to obtain the corrected weights of each evaluation indicator in the new technology.

[0009] Optionally, in the applicability analysis method of new technologies in substations based on fuzzy variable weights according to the present invention, for each new technology, according to the mean value of each evaluation index and the evaluation index value and the balance factor of the new technology, the balance value of each evaluation index of the new technology is obtained, including:

[0010]

[0011] Among them, S ij represents the equilibrium value of evaluation index j of new technology i, α i represents the equilibrium factor of new technology i, x ij represents the value of evaluation index j of new technology i, represents the mean of the evaluation index j, and m represents the total number of evaluation indicators.

[0012] Optionally, in the applicability analysis method of new technologies in substations based on fuzzy variable weights according to the present invention, the applicability value of each new technology is obtained according to the evaluation index value of each new technology and the revised weight of each evaluation index in each new technology, using fuzzy matter-element analysis method and approximate ideal solution sorting method, including: using the principle of preferential membership, converting each evaluation index value of each new technology into fuzzy value, and constructing a fuzzy matter-element matrix by using each fuzzy value as an element; using the revised weight of each evaluation index in each new technology to weight the fuzzy matter-element matrix to obtain a weighted fuzzy matter-element matrix; according to the weighted fuzzy matter-element matrix, using the approximate ideal solution sorting method, obtaining the applicability value of each new technology.

[0013] Optionally, in the applicability analysis method of new technologies in substations based on fuzzy variable weights according to the present invention, the applicability value of each new technology is obtained according to the weighted fuzzy matter-element matrix and the approximate ideal solution sorting method, including: determining the positive ideal solution and the negative ideal solution according to the weighted fuzzy matter-element matrix; obtaining the Euclidean distance between each new technology and the positive ideal solution and the negative ideal solution respectively; based on each Euclidean distance, obtaining the closeness of each new technology to the positive ideal solution, and using it as the applicability value of the new technology.

[0014] Optionally, in the applicability analysis method of new technologies in substations based on fuzzy variable weights according to the present invention, for each new technology, different weighting methods are used to weight each evaluation indicator in the applicability evaluation index system, including: for each new technology, intuitive fuzzy hierarchical analysis method and entropy weight method are used to weight each evaluation indicator in the applicability evaluation index system.

[0015] According to another aspect of the present invention, a computing device is provided, comprising: at least one processor; and a memory storing program instructions, wherein the program instructions are configured to be suitable for execution by the at least one processor, and the program instructions include instructions for executing the applicability analysis method of the new technology in the substation based on fuzzy variable weights according to the present invention.

[0016] According to another aspect of the present invention, a readable storage medium storing program instructions is provided. When the program instructions are read and executed by a computing device, the computing device executes the applicability analysis method of the new technology in the substation based on fuzzy variable weights according to the present invention.

[0017] According to the applicability analysis method of new technologies in substations based on fuzzy variable weights of the present invention, first, an applicability evaluation index system of new technologies in substations is constructed, and the comprehensive weight of each new technology with respect to each evaluation index in the applicability evaluation index system is obtained; then, according to the values ​​of each evaluation index of each new technology, the comprehensive weight of each evaluation index in each new technology is dynamically corrected by using variable weight theory; finally, according to the corrected weight of each evaluation index in each new technology, the applicability value of each new technology is obtained by using fuzzy matter-element analysis method and approximate ideal solution sorting method.

[0018] It can be seen that for each new technology, the present invention obtains the comprehensive weight of each evaluation index, and also uses the variable weight theory to make corrections. Obviously, the corrected weight obtained in this way can more accurately characterize the importance of each evaluation index relative to each new technology. In this way, the applicability value of each new technology obtained based on the corrected weight will be more accurate. In addition, after obtaining the corrected weight of each evaluation index in each new technology, the present application uses fuzzy matter-element analysis and approximate ideal solution sorting to obtain the applicability value of each new technology, which not only takes into account the fuzziness of indicator quantification, but also makes the applicability analysis results of different new technologies have more obvious differences. Therefore, the present invention can provide more accurate and effective decision-making support for the comparison and selection of substation expansion plans, thereby promoting the widespread application of new technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] To achieve the above and related purposes, certain illustrative aspects are described herein in conjunction with the following description and accompanying drawings, which indicate various ways in which the principles disclosed herein can be practiced, and all aspects and their equivalents are intended to fall within the scope of the claimed subject matter. The above and other purposes, features and advantages of the present disclosure will become more apparent by reading the following detailed description in conjunction with the accompanying drawings. Throughout the present disclosure, the same reference numerals generally refer to the same parts or elements.

[0020] Figure 1 A structural block diagram of a computing device 100 according to an embodiment of the present invention is shown;

[0021] Figure 2 A flow chart of a method 200 for analyzing the applicability of new technologies in a substation based on fuzzy variable weights according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0022] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0023] At present, the pre-application evaluation research of new technologies is mainly based on qualitative analysis, which is mostly to sort out the application characteristics of a specific new technology through surveys. However, qualitative analysis often lacks the support of quantitative data, which to a certain extent limits the accuracy and comparability of the evaluation results. Based on this, the present invention proposes a new technology applicability analysis method in substations based on fuzzy variable weights.

[0024] The applicability analysis method of new technologies in substations based on fuzzy variable weights of the present invention can be executed in a computing device. Figure 1 A block diagram of the physical components (i.e., hardware) of a computing device 100 is shown. In a basic configuration, the computing device 100 includes at least one processing unit 102 and a system memory 104. According to one aspect, depending on the configuration and type of the computing device, the processing unit 102 can be implemented as a processor. The system memory 104 includes, but is not limited to, volatile storage (e.g., random access memory), non-volatile storage (e.g., read-only memory), flash memory, or any combination of such memories. According to one aspect, the system memory 104 includes an operating system 105 and a program module 106, and the program module 106 includes a suitability analysis module 120, which is configured to execute the suitability analysis method 200 of the new technology in the substation based on fuzzy variable weights of the present invention.

[0025] According to one aspect, operating system 105 is suitable for controlling the operation of computing device 100, for example. Furthermore, examples are practiced in conjunction with graphics libraries, other operating systems, or any other application programs, and are not limited to any particular application or system. Figure 1 This basic configuration is illustrated in FIG. 1 by those components within dashed line 108. According to one aspect, computing device 100 has additional features or functionality. For example, according to one aspect, computing device 100 includes additional data storage devices (removable and / or non-removable), such as magnetic disks, optical disks, or tapes. Such additional storage Figure 1 1 is illustrated by removable storage 109 and non-removable storage 110.

[0026] As stated above, according to one aspect, program modules are stored in the system memory 104. According to one aspect, the program modules may include one or more application programs, and the present invention does not limit the type of application programs, for example, the application programs may include: email and contact applications, word processing applications, spreadsheet applications, database applications, slide show applications, drawing or computer-aided applications, web browser applications, etc.

[0027] According to one aspect, the examples may be practiced on a circuit comprising discrete electronic components, a packaged or integrated electronic chip containing logic gates, a circuit utilizing a microprocessor, or a single chip containing electronic components or a microprocessor. Figure 1 Each or many components shown in can be integrated into a system on a chip (SOC) on a single integrated circuit to practice examples. According to one aspect, such a SOC device may include one or more processing units, a graphics unit, a communication unit, a system virtualization unit, and various application functions, all of which are integrated (or "burned") into a chip substrate as a single integrated circuit. When operated via SOC, the functions described in this article can be operated via a dedicated logic integrated with other components of the computing device 100 on a single integrated circuit (chip). Embodiments of the present invention can also be practiced using other technologies capable of performing logical operations (such as AND, OR, and NOT), including but not limited to mechanical, optical, fluid, and quantum technologies. In addition, embodiments of the present invention can be practiced in a general-purpose computer or in any other circuit or system.

[0028] According to one aspect, the computing device 100 may also have one or more input devices 112, such as a keyboard, a mouse, a pen, a voice input device, a touch input device, etc. Output devices 114 may also be included, such as a display, a speaker, a printer, etc. The aforementioned devices are examples and other devices may also be used. The computing device 100 may include one or more communication connections 116 that allow communication with other computing devices 118. Examples of suitable communication connections 116 include, but are not limited to: RF transmitter, receiver and / or transceiver circuits; Universal Serial Bus (USB), parallel and / or serial ports.

[0029] The term computer-readable medium as used herein includes computer storage media. Computer storage media may include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (e.g., computer-readable instructions, data structures, or program modules). System memory 104, removable storage 109, and non-removable storage 110 are all examples of computer storage media (i.e., memory storage). Computer storage media may include random access memory (RAM), read-only memory (ROM), electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical storage, cassettes, tapes, disk storage or other magnetic storage devices, or any other products that can be used to store information and can be accessed by computer device 100. According to one aspect, any such computer storage medium can be a part of computing device 100. Computer storage media do not include carrier waves or other propagated data signals.

[0030] According to one aspect, communication media is implemented by computer readable instructions, data structures, program modules, or other data in a modulated data signal (e.g., a carrier wave or other transport mechanism), and includes any information delivery media. According to one aspect, the term "modulated data signal" describes a signal that has one or more characteristics set or changed in a manner that encodes information in the signal. By way of example and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media.

[0031] Figure 2 A flowchart of a method 200 for analyzing the applicability of a new technology in a substation based on fuzzy variable weights according to an embodiment of the present invention is shown. The method 200 is suitable for computing a computer (eg Figure 1 Executed in the computing device 100 shown.

[0032] Here, the new technology is first explained. The new technology in the present invention generally refers to all technologies or equipment that can be introduced into the substation. In some embodiments, it can further refer to all innovative technologies or new equipment that can be introduced into the substation. Specifically, the new technology can be an advanced technical method, such as the 110 kV improved single busbar three-section wiring technology; it can also be a new type of equipment, such as HGIS "double circuit breaker integration" equipment, rack-mounted prefabricated cabin secondary combination equipment, distributed parallel DC power supply system, etc. These technologies or equipment are intended to improve the operating efficiency, reliability and intelligence level of the substation by introducing innovative designs, materials or functions. It should be noted that the new technologies listed above are only examples and are not limited to this. Regarding the new technologies, the present invention does not make specific limitations.

[0033] In addition, taking into account the need for technical scheme comparison in the feasibility study stage, the present invention takes technical operability, technical performance and technical economy as core goals, comprehensively considers the benefits of new technologies in safety, reliability, environmental protection and other aspects, and pre-constructs a new technology applicability evaluation system for use in the evaluation and selection of various technical schemes in the design stage. The details can be seen in the following description.

[0034] like Figure 2 As shown, the applicability analysis method 200 of new technologies in substations based on fuzzy variable weights of the present invention starts at 210. In 210, an applicability evaluation index system of new technologies in substations is constructed, and for each new technology, different weighting methods are used to weight each evaluation index in the constructed applicability evaluation index system to obtain multiple weights of each evaluation index in the new technology.

[0035] Regarding the applicability evaluation index system of new technologies, according to an embodiment of the present invention, it can be constructed with three indicators, namely, technical operability, technical performance and technical economy, as first-level indicators, as follows.

[0036] Technical operability: In the process of introducing new technologies into substations, technical operability, as a key evaluation indicator, runs through all stages of design, construction and application. The operability of new technologies not only directly affects the difficulty of project implementation, but also determines the long-term economic benefits and sustainable development of substations. By ensuring the ease of operation, high maintenance efficiency and upgrade flexibility of new technologies, substations can better adapt to future technological changes and achieve stable, efficient and safe operation goals. Based on this, according to an embodiment of the present invention, technical operability may include three secondary indicators: engineering preliminary design, engineering construction, and engineering application. Further, in some embodiments, from the perspective of the entire life cycle, several third-level indicators may be set under each secondary indicator. Specifically, a third-level indicator of design compliance may be set under engineering preliminary design, two third-level indicators of construction period and construction land may be set under engineering construction, and a third-level indicator of equipment full life cycle may be set under engineering application. That is, engineering preliminary design includes a third-level indicator of design compliance, engineering construction includes two third-level indicators of construction period and construction land, and engineering application includes a third-level indicator of equipment full life cycle.

[0037] Technical performance: In order to fully guarantee the safe and stable operation of the power system, keep up with the cutting-edge trend of the intelligent development of substations, and promote the environmental protection and sustainable development in the process of power production, a multi-level technical performance measurement index can be constructed from the four key aspects of safety, intelligence, environmental protection and innovation. These indicators not only evaluate the safety, reliability and environmental friendliness of new technologies and new equipment in substation applications, but also focus on evaluating the innovative value of technology to ensure that the introduced technology can provide superior performance and long-term value in complex and changeable power systems. Therefore, according to one embodiment of the present invention, the technical performance may include four secondary indicators of safety, intelligence, environmental protection and innovation. Further, in some embodiments, safety may also include two third-level indicators of new equipment failure rate and comprehensive voltage qualification rate, intelligence may also include a third-level indicator of online monitoring rate, environmental protection may also include three third-level indicators of expected power saving, expected green power guarantee and expected noise pollution reduction, and innovation may also include two third-level indicators of the number of invention patents and the level and number of awards.

[0038] Technical economics: To comprehensively measure the economic feasibility and output benefits of new technologies, we can start from the three perspectives of cost, benefit and comprehensive economics of new technologies. Specifically, the cost can be based on the necessity of initial investment and the economics of long-term operation, and can specifically cover all stages from initial investment to long-term operation and maintenance to ensure efficient allocation and sustainable use of resources; the benefit can be based on short-term and long-term economic returns, and through the analysis of expected cost savings and reduced power outage losses, the potential economic benefits of new technologies in improving production efficiency and reducing risks can be demonstrated; comprehensive economics can provide a comprehensive economic feasibility evaluation through the internal rate of return indicator to evaluate the overall economic value and return on investment of new technologies from the perspective of the entire life cycle. By taking into account both short-term economic returns and long-term benefits, a strong economic argument can be provided for the introduction and application of new substation technologies. Based on this, according to one embodiment of the present invention, technical economics can include three secondary indicators: technical cost, technical benefit and comprehensive economics, technical cost can further include two third-level indicators: investment cost and operation and maintenance cost, technical benefit can further include two third-level indicators: expected cost savings and expected reduction in power outage losses, and comprehensive economics can further include one third-level indicator: internal rate of return.

[0039] It can be seen that the applicability evaluation index system of the new technology constructed in this embodiment includes multiple evaluation indicators such as design compliance, construction period, construction land, equipment life span, new equipment failure rate, comprehensive voltage qualification rate, online monitoring rate, expected electricity savings, expected green electricity guarantee, expected reduction in noise pollution, number of invention patents, award level and number, investment cost, operation and maintenance cost, expected cost savings, expected reduction in power outage losses and internal rate of return, as shown in Table 1 below.

[0040] Table 1

[0041]

[0042]

[0043] The following describes each evaluation indicator and how to obtain the value of each evaluation indicator (ie, each evaluation indicator value).

[0044] Technical operability indicators:

[0045] 1) Design compliance: The introduction of new technologies is usually accompanied by new standards and specifications. Design compliance not only requires meeting the industry standards of existing projects, but also requires flexibility to adapt to technology updates and standard changes. Specifically, in some embodiments, it can be obtained by the following formula.

[0046]

[0047] In the formula, Comp i represents the design compliance of the i-th new technology (or new technology i), C i，o Indicates the situation of the oth standard involved in the existing project when the i-th new technology is introduced into the substation. If the oth standard is met, then C i，o Take 1. If it does not meet the oth criterion, then C i，o Take 0, O i represents the total number of standards for the i-th new technology.

[0048] 2) Construction period: Compared with conventional substation projects, substations that introduce new technologies will have different expected construction periods during the installation of equipment with different operating difficulties. The impact of the construction period on the overall project can effectively measure the ease of use and adaptability of the new equipment at the technical operation level. In some embodiments, it can be obtained specifically through the following formula.

[0049] ΔDur i =Dur before -Dur i，new

[0050] Where, ΔDur i Dur represents the change in construction period before and after the introduction of the i-th new technology in the substation. before Indicates the construction period of conventional substations, Dur new It represents the construction period of the substation after the introduction of the i-th new technology.

[0051] 3) Construction land: In substation projects, the utilization efficiency of construction land is closely related to the technical operability of equipment. Compared with traditional substation projects, substations integrating new technologies usually need to face more complex equipment layout and installation requirements. The increase or decrease in the occupation of engineering land due to the introduction of new technologies can reflect the operational flexibility of technical equipment during the construction process. Specifically, in some embodiments, it can be obtained by the following formula.

[0052] ΔArea i =Area before -Area i，new

[0053] Where ΔArea i represents the change in construction land before and after the introduction of the i-th new technology in the substation, Area before Indicates the land for the construction of conventional substations. new Represents the substation construction land after the introduction of the i-th new technology.

[0054] 4) Equipment life span: During the entire application cycle, the age of the equipment will lead to different emphases on the technology in terms of operability, maintainability, reliability and adaptability. Therefore, the equipment life span can be used to quantify the operability of the technology during the application stage.

[0055] Technical performance indicators:

[0056] 1) New equipment failure rate: This evaluation indicator targets new technologies at the equipment level. It refers to the ratio of downtime and maintenance time caused by failures to the planned use time of the equipment. It can be calculated based on the technical parameters of the new equipment, as shown below.

[0057]

[0058] Where Acc i represents the failure rate of the i-th new technology, or more specifically, the failure rate of new equipment; T i，acc represents the power outage duration of the fault of the i-th new technology, that is, the power outage duration of the fault of the new equipment; T i，all It represents the planned use time of the i-th new technology, that is, the planned use time of the new equipment.

[0059] 2) Comprehensive voltage qualification rate: the ratio of the cumulative operating time of the actual operating voltage within the allowable voltage deviation range to the corresponding total operating statistical time. During the design stage, it is evaluated as the expected level of the comprehensive voltage qualification rate of the substation after the new equipment is put into use.

[0060] 3) Online monitoring rate: the proportion of online operation monitoring of each sensor module in the new equipment.

[0061] 4) Expected electricity savings: the expected amount of electricity savings in substations of the same size after the introduction of the new technology. Specifically, in some embodiments, it can be obtained by the following formula.

[0062] ΔE i，s =ES before -ES i，new

[0063] In the formula, ΔE i，s represents the expected amount of electricity saved after the introduction of the i-th new technology in the substation, ES before Indicates the self-consumption electricity during the operation period of the conventional substation, ES i，new It represents the self-consumption of electricity during the operation period of the substation after the introduction of the i-th new technology.

[0064] 5) Expected green power guarantee: the expected increase in green power access capacity in substations of the same size after the introduction of new technologies. Specifically, in some embodiments, it can be obtained by the following formula.

[0065] ΔE i，G =EG before -EG i，new

[0066] ΔE i，G represents the expected green power guarantee after the substation introduces the i-th new technology, EG before Indicates the amount of green power access during the operation period of a conventional substation, EG i，new It represents the expected amount of green electricity access during the operation period of the substation after the introduction of the i-th new technology.

[0067] 6) Expected reduction in noise pollution: The expected reduction in decibels in noise levels in substations of the same size after the introduction of new technologies.

[0068] Technical and economic indicators:

[0069] 1) Investment cost: Evaluating the initial investment of new technology from aspects such as equipment procurement and construction costs can measure the capital investment required in the introduction and implementation of new technology, thereby ensuring that substations at the current economic development level have sufficient funds for production and can achieve reasonable allocation and use of resources in the initial stage. Specifically, in some embodiments, it can be obtained by the following formula.

[0070] Cost i，vest =Cost i，eqip +Cost i，cons

[0071] In the formula, Cost i，vest represents the investment cost of introducing the i-th new technology into the substation, Cost i，eqip Cost represents the equipment purchase cost for the construction and application of the substation after the introduction of the i-th new technology.i，cons It represents the equipment construction cost of introducing the i-th new technology into the substation.

[0072] 2) Operation and maintenance cost: Evaluating the long-term operation and maintenance costs of new technologies from the perspective of life cycle management can measure the economic burden of new technologies in long-term operation, thereby ensuring that substations at the current economic development level have sufficient funds for later operation and maintenance. Specifically, in some embodiments, it can be obtained by the following formula.

[0073] Cost i，ope =Cost i，work +Cost i，pre +Cost i，fault

[0074] In the formula, Cost i，ope Cost represents the operation and maintenance cost of introducing the i-th new technology into the substation. i，work Cost represents the operating cost of the substation over its entire life cycle after the introduction of the i-th new technology. i，pre Cost represents the maintenance cost of the entire life cycle of the substation when the i-th new technology is introduced. i，fault It represents the failure outage cost of the substation during the entire life cycle when the i-th new technology is introduced.

[0075] 3) Expected cost savings: The investment in new technologies can make it have higher operating efficiency and less energy consumption than conventional substations, thus bringing cost savings in both the investment and operation and maintenance stages. For construction projects, it is the cost savings of substation construction. Specifically, in some embodiments, it can be obtained by the following formula.

[0076] Profit i，co =ΔCost i，vest +ΔCost i，ope

[0077] In the formula, Profit i，co represents the expected cost savings after the introduction of the i-th new technology in the substation, ΔCost i，vest It represents the expected reduction in investment cost after the introduction of the i-th new technology in the substation compared with the conventional substation (i.e. before the introduction of the i-th new technology in the substation), ΔCost i，ope It represents the expected reduction in operation and maintenance cost of the substation after the introduction of the i-th new technology compared with the conventional substation.

[0078] 4) Expected reduction in power outage losses: The reduction in the number and duration of power outages due to the application of new technologies can indirectly reduce the impact of power outages on users and power companies, allowing substations to obtain more power generation revenue and reducing penalty compensation from power companies. Therefore, it can be used to measure the economic value of new technologies in improving power supply reliability. Specifically, in some embodiments, it can be obtained by the following formula.

[0079] Profit i，loss =Δt i，loss ×T i，avg ×C avg

[0080] In the formula, Profit i，loss represents the expected reduction in power outage losses after the introduction of the i-th new technology in the substation, Δt i，loss T represents the expected reduction in power outages after the introduction of the i-th new technology in the substation, i，avg represents the average duration of each power outage expected after the introduction of the i-th new technology in the substation, C avg Indicates the average electricity price.

[0081] 5) Internal Rate of Return: By analyzing the net cash flow generated by the new technology over its entire life cycle and calculating the internal rate of return, its overall economic feasibility and return on investment can be evaluated. This allows for an economic evaluation from a comprehensive perspective to measure whether the new technology is worth long-term investment.

[0082] At this point, the applicability evaluation index system of new technologies has been constructed, and the method for obtaining the values ​​of each evaluation index in the evaluation index system is clearly known. Among them, the evaluation indexes for which no specific calculation method is given above can be directly obtained through the corresponding instruments or methods. Next, the multiple weights of each evaluation index in each new technology are explained.

[0083] According to one embodiment of the present invention, for each new technology, the intuitive fuzzy analytic hierarchy process (AHP) and the entropy weight method (EWM) can be used to weight each evaluation index in the applicability evaluation index system. Specifically, for each new technology, the intuitive fuzzy analytic hierarchy process is used to obtain a weight of each evaluation index therein - the subjective weight, and the entropy weight method is used to obtain a weight of each evaluation index therein - the objective weight, thereby obtaining two weights of each evaluation index in the new technology. Below, the methods of obtaining weights using the intuitive fuzzy analytic hierarchy process and the entropy weight method are specifically described.

[0084] Among them, when using the intuitive fuzzy AHP method to obtain the weight of each evaluation index in each new technology, multiple new technologies can be used as solution layers, the first-level indicators in the applicability evaluation index system of the new technology can be used as criterion layer 1, and the second-level indicators can be used as criterion layer 2. Furthermore, the relative importance of the indicators can be measured based on the "0.1-0.9" scaling method and expert experience to construct an intuitive fuzzy judgment matrix. Specifically, in some embodiments, the intuitive fuzzy hierarchical analysis method can be used to obtain the weight of each evaluation index in any new technology in the following manner.

[0085] Step 1: Construct an intuitive fuzzy judgment matrix of the new technology according to the importance of each evaluation index. The importance of each evaluation index can be determined by an expert. According to one embodiment of the present invention, an m-order intuitive fuzzy judgment matrix can be constructed according to the importance of each evaluation index, where m is the total number of evaluation indicators. That is, when the total number of evaluation indicators in the constructed applicability evaluation index system of the new technology is m, an m-order intuitive fuzzy judgment matrix is ​​constructed for the new technology. In some embodiments, the intuitive fuzzy judgment matrix of new technology i can be expressed as Q i =(q i，rs ) m×m =(u i，rs , v i，rs ) m×m , where q i，rs Intuitive fuzzy judgment matrix Q representing new technology i i The element in the rth row and sth column is represented by the membership degree u i，rs and non-membership v i，rs Specifically, the membership degree u i，rs It indicates the importance of evaluation index r (or the rth evaluation index) relative to evaluation index s for new technology i, and the non-membership degree v i，rs It indicates the importance of evaluation index s relative to evaluation index r for new technology i. Among them, the values ​​of r and s are 1, 2, 3…, m. The intuitive fuzzy judgment matrix Q of new technology i is given as follows: i An example of .

[0086]

[0087] Step 2: According to the constructed intuitive fuzzy judgment matrix of the new technology, obtain the intuitive fuzzy consistency judgment matrix of the new technology. Specifically, the intuitive fuzzy consistency judgment matrix of the new technology can be obtained by the following formula. For the convenience of description, the intuitive fuzzy consistency judgment matrix of the new technology i can be expressed as

[0088]

[0089] In the formula, The intuitionistic fuzzy consistency judgment matrix representing new technology i The element in the r-th row and s-th column of which is composed of the membership degree and the non-membership degree When r ≤ s ≤ r + 1, the value of i，rs is u The value of i，rs is v When s < r, the value of is u i，rk u i，ks u i respectively represent the membership degree of the element q i，rk in the r-th row and k-th column of the intuitionistic fuzzy judgment matrix Q i，ks of new technology i and the membership degree of the element q i，rk in the k-th row and s-th column. Specifically, the membership degree u i，ks represents the importance degree of evaluation index r relative to evaluation index k for new technology i, and the membership degree u i，rk represents the importance degree of evaluation index k relative to evaluation index s for new technology i; v i，ks v i respectively represent the non-membership degree of the element q i，rk in the r-th row and k-th column of the intuitionistic fuzzy judgment matrix Q i，ks of new technology i and the non-membership degree of the element q i，rk in the k-th row and s-th column. Specifically, the non-membership degree v i，ks represents the importance degree of evaluation index k relative to evaluation index r for new technology i, and the non-membership degree v

[0090] Step 3: Calculate the distance measure between the intuitionistic fuzzy judgment matrix of the new technology and the intuitionistic fuzzy consistency judgment matrix. Among them, according to an embodiment of the present invention, the distance measure between the intuitionistic fuzzy judgment matrix of the new technology and the intuitionistic fuzzy consistency judgment matrix can be calculated by the following formula.

[0091]

[0092] In the formula, represents calculating the distance measure between the intuitionistic fuzzy consistency judgment matrix of new technology i and the intuitionistic fuzzy judgment matrix, and π i，rs represents the hesitation degree of the element in the r-th row and s-th column of the intuitionistic fuzzy judgment matrix Q i of new technology i, and its value is represents the intuitionistic fuzzy consistency judgment matrix of new technology i The hesitation degree of the element in the rth row and sth column is

[0093] Step 4: Check whether the distance measure between the intuitive fuzzy judgment matrix of the new technology and the intuitive fuzzy consistency judgment matrix is ​​less than the consistency threshold coefficient. If it is less than, go to step 8; if not, go to step 5.

[0094] Specifically, when the consistency threshold coefficient is τ, this step is to detect Is it less than τ? Then go to step 8. If Then proceed to step 5. The present invention does not limit the size of the consistency threshold coefficient, and in a specific embodiment, those skilled in the art can set it according to actual needs.

[0095] Step 5: Correct the intuitive fuzzy judgment matrix of the current new technology, and update the intuitive fuzzy judgment matrix of the current new technology to the corrected intuitive fuzzy judgment matrix of the new technology. According to one embodiment of the present invention, the intuitive fuzzy judgment matrix of the current new technology can be corrected by the following formula. In addition, for the convenience of description, the corrected intuitive fuzzy judgment matrix of the new technology i can be expressed as Q′ i =(q′ i，rs ) m×m =(u′ i，rs , v′ i，rs ) m×m

[0096]

[0097] Where u′ i，rs , v′ i，rs They represent the intuitionistic fuzzy judgment matrix Q′ of the modified new technology i respectively. i The element q′ in the rth row and sth column i，rs The membership degree and non-membership degree of , σ represents the correction coefficient. The present invention does not limit the size of the correction coefficient. In a specific embodiment, those skilled in the art can set it according to actual needs.

[0098] Step 6: Calculate the distance measure between the intuitive fuzzy judgment matrix of the current new technology and the intuitive fuzzy consistency judgment matrix of the new technology. After the correction and update in step 5, the intuitive fuzzy judgment matrix of the current new technology is the corrected intuitive fuzzy judgment matrix of the new technology. Specifically, for new technology i, the current intuitive fuzzy judgment matrix Q i Then update to Q′ i , that is, Q i =Q′ iTherefore, the distance measure between the intuitionistic fuzzy judgment matrix of the current new technology i and the intuitionistic fuzzy consistency judgment matrix of the new technology i is Regarding the calculation of the distance measure between the intuitionistic fuzzy judgment matrix of the current new technology and the intuitionistic fuzzy consistency judgment matrix of the new technology, please refer to step 3 for details, which will not be repeated here.

[0099] Step 7: Check whether the distance measure between the intuitive fuzzy judgment matrix of the current new technology and the intuitive fuzzy consistency judgment matrix of the new technology is less than the consistency threshold coefficient. If it is less than, go to step 8; if not, return to step 5.

[0100] Step 8: Calculate the intuitive fuzzy weights of each evaluation index in the new technology according to the intuitive fuzzy judgment matrix of the current new technology. The intuitive fuzzy judgment matrix of the current new technology is the intuitive fuzzy judgment matrix that is qualified in the distance measurement detection. In some embodiments, the intuitive fuzzy weights of each evaluation index in the new technology can be calculated by the following formula.

[0101]

[0102] In the formula, represents the intuitive fuzzy weight of the evaluation index r in the new technology i, which is composed of the positive direct fuzzy weight of the evaluation index r in the new technology i and negative direct fuzzy weights In addition, u i，rs 、v i，rs Represents the intuitive fuzzy judgment matrix Q of the current new technology i i The membership and non-membership of the element in the rth row and sth column.

[0103] Step 9: Perform fuzzy conversion and quantitative calculation on the intuitive fuzzy weights of each evaluation index in the obtained new technology to obtain the weights of each evaluation index in the new technology. According to one embodiment of the present invention, the intuitive fuzzy weights of each evaluation index in the obtained new technology can be fuzzy converted and quantitatively calculated by the following formula.

[0104]

[0105] In the formula, ω i，r represents the weight of the evaluation index r in the new technology i, It represents the hesitation of evaluation index r in new technology i, and its value is

[0106] So far, the intuitive fuzzy hierarchical analysis method has been used to obtain a weight for each evaluation index in each new technology. To further explain, the intuitive fuzzy hierarchical analysis method has been used to obtain the subjective weight of each evaluation index in each new technology. Next, the method of obtaining the weight using the entropy weight method is explained.

[0107] The entropy weight method is an objective weighting method. Its basic principle is to reflect the degree of variation of the evaluation of each indicator and the contribution of the indicator to provide effective information by calculating the information entropy, and then determine the role of the indicator in the comprehensive evaluation. According to the idea of ​​information entropy, the greater the difference in the value of the evaluation object on a certain indicator, the smaller the entropy value, the greater the amount of effective information provided by the indicator, and the greater the weight of the indicator; conversely, if the value of a certain indicator is less different and the entropy value is larger, it means that the amount of information provided by the indicator is small, and the weight of the indicator should also be smaller.

[0108] Among them, taking into account the non-uniform measurement units of various indicators, according to one embodiment of the present invention, when using the entropy weight method to obtain weights, the evaluation index values ​​of each new technology can be standardized first, that is, the absolute value of the evaluation index is converted into a relative value, so as to solve the homogenization problem of various different quality index values.

[0109] In addition, it should be noted that when the entropy weight method is used in this embodiment to obtain the weight of each evaluation index in each new technology, the weight of each evaluation index is not calculated separately for each new technology, but a unified weight of each evaluation index is obtained based on the evaluation index values ​​of all new technologies. In other words, the weight of any evaluation index obtained using the entropy weight method is the same for all new technologies. Specifically, in some embodiments, the entropy weight method can be used to obtain the weight of each evaluation index in all new technologies in the following manner.

[0110] Step 1: Standardize the evaluation index values ​​of each new technology to obtain the standardized evaluation index values ​​of each new technology. Among them, the evaluation index is divided into positive evaluation index and negative evaluation index, and the meanings represented by their values ​​are different. The higher the value of the positive evaluation index, the better, and the lower the value of the negative evaluation index, the better. Therefore, for positive evaluation indicators and negative evaluation indicators, this embodiment uses different algorithms to perform data standardization processing on them.

[0111] Specifically, the positive evaluation index is normalized using the following formula.

[0112]

[0113] For negative evaluation indicators, standardization is performed using the following formula.

[0114]

[0115] In the formula, x' ij represents the value of evaluation index j after standardization of new technology i, x 1j 、x 2j 、x ij 、x njThey represent the values ​​of evaluation index j of new technology 1, new technology 2, new technology i and new technology n respectively, and n represents the total number of new technologies.

[0116] Step 2: For each evaluation index, calculate the ratio of the value of the evaluation index after the standardization of each new technology to the value of the evaluation index after the standardization of all new technologies, as follows.

[0117]

[0118] In the formula, p ij It represents the ratio of the value of evaluation index j of new technology i after standardization to the value of evaluation index j of all new technologies after standardization.

[0119] Step 3: Calculate the entropy value of each evaluation index according to each ratio obtained. In some embodiments, the entropy value of each evaluation index can be calculated by the following formula.

[0120]

[0121] In the formula, e j represents the entropy value of the evaluation index j. In addition, β=1 / ln(n)>0, satisfying e j ≥0.

[0122] Step 4: According to the entropy value of each evaluation indicator, the information entropy redundancy of each evaluation indicator is obtained. Specifically, in some embodiments, the information entropy redundancy of each evaluation indicator can be obtained by the following formula.

[0123] d j =1-e j , j = 1, ..., m

[0124] Where, d j Represents the information entropy redundancy of evaluation index j.

[0125] Step 5: Calculate the weight of each evaluation indicator according to the information entropy redundancy of each evaluation indicator, as follows.

[0126]

[0127] Where V j Represents the weight of evaluation index j.

[0128] The weights of the evaluation indicators obtained above are applicable to all new technologies. For example, taking evaluation indicator j as an example, the weights of evaluation indicator j in all new technologies are V j So far, the entropy weight method is used to obtain a weight for each evaluation index in each new technology. To further explain, the entropy weight method is used to obtain the objective weight of each evaluation index in each new technology.

[0129] It should be noted that the above-mentioned methods of using intuitive fuzzy hierarchical analysis method and entropy weight method to obtain the two weights of each evaluation index in the new technology are only examples and are not limited to this. In other embodiments, other methods can also be used to obtain the weights of each evaluation index in the new technology, or more methods can be used to obtain the weights of each evaluation index in the new technology, and the present invention is not limited to this.

[0130] At this point, multiple weights of each evaluation indicator in each new technology are obtained. Next, enter 220, and use game theory to obtain the comprehensive weight of each evaluation indicator in each new technology based on the multiple weights of each evaluation indicator in each new technology. Among them, using game theory to determine the comprehensive weight of the indicator can achieve unification or compromise between the weights determined by different methods.

[0131] Specifically, in some embodiments, game theory can be used to obtain the comprehensive weight of each evaluation index in any new technology in the following manner.

[0132] Step 1: Construct multiple initial weight vectors of the new technology, where any initial weight vector is composed of the weights of each evaluation index in the new technology obtained using the same weighting method.

[0133] According to one embodiment of the present invention, f initial weight vectors of new technologies can be constructed, where f is the total number of weighting methods. That is, when f weighting methods are used to weight the evaluation indicators, f initial weight vectors of new technologies are constructed. In some embodiments, the initial weight vector of new technology i can be expressed as g i，l =(h i，l1 ,h i，l2 ,…,h i，lm ) T , l = 1, 2, ..., f, where h i，l1 、h i，l2 、h i，lm They represent the weights of evaluation index 1, evaluation index 2 and evaluation index m obtained when weighting method l is used to weight the evaluation index in new technology i, and g i，l It represents the vector composed of the weights of each evaluation index in the new technology i obtained by using the weighting method l (for the convenience of description, it is called the initial weight vector of the new technology i obtained by weighting using the weighting method l).

[0134] Step 2: Construct an objective function with the goal of minimizing the deviation between all weighted weight vectors of the new technology and their corresponding initial weight vectors, where any weighted weight vector is the product of an initial weight vector and its undetermined weight coefficient. Specifically, in some embodiments, the constructed objective function can be expressed as the following formula.

[0135]

[0136] In the formula, a i，l represents the initial weight vector g of the new technology i obtained by weighting method l i，l The weight coefficient, a i，l g i，l It represents the initial weight vector g of the new technology i obtained by weighting using the weighting method l i，l The weighted weight vector of .

[0137] Step 3: Solve the constructed objective function to obtain the weight coefficients of each initial weight vector of the new technology. According to one embodiment of the present invention, the optimal first-order derivative can be obtained according to the differential property of the matrix, and then the weight coefficients of each initial weight vector can be obtained according to the obtained optimal first-order derivative.

[0138] In some embodiments, the obtained optimal first-order derivative can be expressed as the following formula.

[0139]

[0140] Step 4: Obtain the comprehensive weight of each evaluation index of the new technology according to each initial weight vector of the new technology and the weight coefficient of each initial weight vector. Specifically, in some embodiments, the comprehensive weight of each evaluation index in the new technology can be obtained by the following formula.

[0141]

[0142] In the formula, represents the initial weight vector g of the new technology i obtained by weighting method l i，l The normalized weight coefficient of i，l The normalized value, y i，1 ,y i，2， , …, y i，m They represent the comprehensive weights of evaluation index 1, evaluation index 2 and evaluation index m of new technology i, respectively, and y i It represents the comprehensive weight vector composed of the comprehensive weights of each evaluation index of new technology i.

[0143] At this point, the comprehensive weight of each evaluation index in each new technology is obtained. Next, enter 230, according to the evaluation index value of each new technology, use the variable weight theory to dynamically correct the comprehensive weight of each evaluation index in each new technology, and obtain the corrected weight of each evaluation index in each new technology. According to an embodiment of the present invention, the comprehensive weight of each evaluation index in any new technology can be dynamically corrected in the following way.

[0144] First, according to the mean of each evaluation index and each evaluation index value and the balance factor of the new technology, the balance value of each evaluation index of the new technology is obtained. Specifically, in some embodiments, the balance value of each evaluation index of the new technology can be obtained by the following formula.

[0145]

[0146] In the formula, S ij represents the equilibrium value of evaluation index j of new technology i, α i represents the equilibrium factor of new technology i, x ij represents the value of evaluation index j of new technology i, represents the mean of the evaluation index j, and m represents the total number of evaluation indicators.

[0147] Among them, the mean value of each evaluation index is obtained by the following formula.

[0148]

[0149] The equilibrium factor of each new technology is obtained by the following formula.

[0150]

[0151] Then, the comprehensive weight of each evaluation index in the new technology is corrected by using the equilibrium value of each evaluation index of the new technology to obtain the corrected weight of each evaluation index in the new technology. Specifically, the comprehensive weight of each evaluation index in the new technology can be corrected by the following formula.

[0152]

[0153] In the formula, γ ij represents the modified weight of evaluation index j of new technology i, y i，j represents the comprehensive weight of evaluation index j of new technology i, S ij represents the equilibrium value of evaluation index j of new technology i, and m represents the total number of evaluation indicators.

[0154] At this point, based on the measured values ​​of each evaluation index of each new technology, the equilibrium function is used The comprehensive weights of each evaluation index in each new technology are dynamically revised, so as to reflect the impact of the actual measured value of the index on the evaluation results as much as possible.

[0155] Then, enter 240, according to the evaluation index value of each new technology and the modified weight of each evaluation index in each new technology, use fuzzy matter-element analysis method and approximate ideal solution sorting method to obtain the applicability value of each new technology, so as to introduce adaptive new technologies for different substations.

[0156] Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is a comprehensive solution to multi-criteria decision-making problems. This method determines the positive ideal solution and the negative ideal solution in the decision-making scheme, calculates the closeness of each decision-making method to the positive ideal solution, and sorts the closeness by distance, and finally determines the pros and cons of each decision-making method. The matter-element analysis method is based on the original data, analyzes the relationship between qualitative and quantitative changes, and comprehensively solves complex problems from both qualitative and quantitative perspectives. Among them, taking into account the difference between the expected quantification and actual application of the introduction of new technologies into production, this embodiment combines the fuzzy matter-element method with TOPSIS for comprehensive evaluation on the basis of dynamically corrected weights, so that the TOPSIS closeness of different new technologies can be more clearly distinguished.

[0157] In addition, during the evaluation process of the new technology design stage, the indicator parameters are usually the estimated values ​​of the expected effects. The introduction and use in substations of different sizes and types will have the characteristics of fuzziness and uncertainty. Therefore, the fuzzy matter-element can be constructed through the fuzzy value of the indicator. Furthermore, the fuzzy value of each feature can be determined by the superior membership of fuzzy theory. The following is a specific description of how to obtain the applicability value of each new technology using the fuzzy matter-element analysis method and the approximate ideal solution sorting method.

[0158] Step 1: Using the principle of optimal membership, convert the evaluation index values ​​of each new technology into fuzzy values, and construct the fuzzy matter-element matrix by taking each fuzzy value as an element.

[0159] Among them, for the positive correlation evaluation index, the following formula is used to convert (i.e. calculate) the fuzzy value.

[0160]

[0161] For the negative correlation evaluation index, the following formula is used to convert the fuzzy value.

[0162]

[0163] In the formula, x' ij represents the fuzzy value of evaluation index j of new technology i, x 1j 、x 2j 、x ij 、x nj They represent the values ​​of evaluation index j of new technology 1, new technology 2, new technology i and new technology n respectively, and n represents the total number of new technologies.

[0164] After obtaining the fuzzy value of each evaluation index of each new technology, according to an embodiment of the present invention, a fuzzy matter-element matrix with n rows and m columns can be constructed by using each fuzzy value as an element, where n is the total number of new technologies and m is the total number of evaluation indexes. That is, when the total number of new technologies is n and the total number of evaluation indexes is m, the fuzzy value x' of the evaluation index j of the new technology i is ij As the element of the i-th row and j-th column, a fuzzy matter-element matrix of n rows and m columns is constructed. Specifically, in some implementations, the fuzzy matter-element matrix can be expressed as R=(x' ij ) n×m , where i is 1, 2, 3, ..., n, and j is 1, 2, 3, ..., m. An example of the fuzzy matter-element matrix R is given below.

[0165]

[0166] Step 2: Use the modified weights of each evaluation index in each new technology to perform weighted processing on the fuzzy matter-element matrix to obtain a weighted fuzzy matter-element matrix. According to one embodiment of the present invention, the fuzzy matter-element matrix can be weighted by the following formula, where for the convenience of description, the weighted fuzzy matter-element matrix can be expressed as Z = (z ij ) n×m .

[0167] z ij =x' ij γ ij

[0168] In the formula, z ij Represents the element in the i-th row and j-th column of the weighted fuzzy matter-element matrix Z.

[0169] Step 3: According to the weighted fuzzy matter-element matrix, the approximate ideal solution sorting method is used to obtain the applicability value of each new technology, as follows.

[0170] First, according to the weighted fuzzy matter-element matrix, determine the positive ideal solution and the negative ideal solution. + represents a positive ideal solution, Z - Further, in some embodiments, the positive ideal solution and the negative ideal solution may be determined by the following formula.

[0171] Specifically, the positive ideal solution is determined by the following formula:

[0172]

[0173] In the formula, They represent the positive ideal solutions of evaluation index 1, evaluation index 2, evaluation index j and evaluation index m respectively.

[0174] The negative ideal solution is determined by:

[0175]

[0176] In the formula, They represent the negative ideal solutions of evaluation index 1, evaluation index 2, evaluation index j and evaluation index m respectively.

[0177] Then, the Euclidean distances between each new technology and the positive ideal solution and the negative ideal solution are obtained respectively. According to one embodiment of the present invention, the Euclidean distances between any new technology and the positive ideal solution and the negative ideal solution can be obtained by the following formula.

[0178] Specifically, the Euclidean distance between the new technology and the positive ideal solution is obtained by the following formula:

[0179]

[0180] In the formula, Denotes the new technology i and the positive ideal solution Z + The Euclidean distance.

[0181] The Euclidean distance between the new technique and the negative ideal solution is obtained by the following formula:

[0182]

[0183] In the formula, Denotes the new technology i and the negative ideal solution Z - The Euclidean distance.

[0184] Next, the closeness of each new technology to the positive ideal solution is obtained according to each obtained Euclidean distance. According to one embodiment of the present invention, the closeness of any new technology to the positive ideal solution can be obtained by the following formula.

[0185]

[0186] Where D i Indicates how close the new technology i is to the positive ideal solution.

[0187] Finally, the degree of closeness between each new technology and the positive ideal solution is taken as the applicability value of each new technology. For example, the degree of closeness between the new technology i and the positive ideal solution is D i , then D i As the applicability value of the new technology i. Further, in some embodiments, after obtaining the applicability value of each new technology, the applicability value of each new technology may be sorted in descending order, so as to analyze the applicability of each new technology.

[0188] Among them, the closer the applicability value of the new technology is to 1, the better the comprehensive performance of the new technology is. Conversely, the closer the applicability value of the new technology is to 0, the worse the comprehensive performance of the new technology is. Therefore, after obtaining the applicability value of each new technology, the advantages and potential disadvantages of the new technology to be evaluated in the substation can be analyzed based on its evaluation value from each decision-making layer, so as to introduce adaptive new technologies for each substation.

[0189] In summary, the present invention starts from the feasibility and necessity of introducing new technologies, and constructs a new substation technology applicability evaluation system that considers multiple dimensions of technical operability, technical performance, and technical economy. Moreover, on this basis, considering the fuzziness of the source of evaluation data before application, a fuzzy variable weighted matter-element-TOPSIS evaluation method is further proposed, and the beneficial effects are as follows.

[0190] 1) In the design phase, based on the full life cycle of the introduction of new technologies, a multi-dimensional and multi-level new technology applicability capability evaluation index system is established from the three dimensions of technical operability, technical performance, and technical economy, realizing the transformation from qualitative to quantitative evaluation. In addition, by comparing the secondary indicators of technical applicability evaluation under the same type of substation, the potential optimisation levels in the operation of new technologies can be identified, thus providing a basis for technical optimization and improvement.

[0191] 2) A dynamic weighting method was constructed that takes into account the ambiguity of expert evaluation and the differences in substation scales: first, the subjective and objective weights were determined respectively through the intuitive fuzzy hierarchical analysis method and the entropy weight method, and then the optimal comprehensive weight was determined based on game theory. Finally, the theoretical data was balanced through the variable weight theory, and the optimal comprehensive weight was further dynamically corrected. In this way, the evaluation system can meet the universality of substations of different scales.

[0192] 3) A fuzzy matter-element method-TOPSIS evaluation model is proposed, which has both the fuzziness of application and production quantification and the clarity of technology comparison. In the evaluation process of the new technology design stage, there is a certain error between the quantitative value and the actual application. The fuzzy matter-element method-TOPSIS evaluation model proposed in this invention not only takes into account the fuzziness of indicator quantification, but also makes the evaluation results of different new technologies have more obvious differences, so that different new technologies and new equipment can be reasonably and effectively measured and compared.

[0193] 4) Through the applicability analysis method of new technologies in substations based on fuzzy variable weights of the present invention, decision support can be provided for decision makers to introduce new technologies for the existing scale of substations. In this way, decision makers can make technology selections and introduce equipment more scientifically and reasonably, thereby promoting the promotion and implementation of new technologies. In addition, the present invention can not only promote the widespread application of new technologies, but also provide decision support for the comparison and selection of substation expansion plans, and accelerate the transformation of substations to intelligence. At the same time, the potential assessment and identification of risks and deficiencies before the application of new technologies can further promote the research and development and improvement of new technologies, which will enhance the advancement and practicality of smart substation technology, and thus inject new impetus into the sustainable development of the power industry.

[0194] The various techniques described herein may be implemented in combination with hardware or software, or a combination thereof. Thus, the method and apparatus of the present invention, or some aspects or parts of the method and apparatus of the present invention may be in the form of program codes (i.e., instructions) embedded in a tangible medium, such as a removable hard disk, a USB flash drive, a floppy disk, a CD-ROM, or any other machine-readable storage medium, wherein when the program is loaded into a machine such as a computer and executed by the machine, the machine becomes a device for practicing the present invention.

[0195] In the case where the program code is executed on a programmable computer, the computing device generally includes a processor, a storage medium readable by the processor (including volatile and non-volatile memory and / or storage elements), at least one input device, and at least one output device. The memory is configured to store the program code; the processor is configured to execute the applicability analysis method of the new technology in the substation based on fuzzy variable weights according to the instructions in the program code stored in the memory.

[0196] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0197] It should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this method of disclosure should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim.

[0198] In addition, unless otherwise specified, the use of ordinal numbers "first", "second", "third", etc. to describe common objects merely indicates that different instances of similar objects are involved, and is not intended to imply that the objects so described must have a given order in time, space, ranking or in any other manner.

[0199] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is selected primarily for readability and teaching purposes, rather than for explaining or defining the subject matter of the present invention. Therefore, many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is illustrative, not restrictive, with respect to the scope of the present invention, which is defined by the appended claims.

Claims

1. A method for analyzing the applicability of new technologies in substations based on fuzzy variable weights, including: Constructing an applicability evaluation index system for new technologies in substations, and for each new technology, weighting each evaluation index in the applicability evaluation index system by using different weighting methods to obtain multiple weights of each evaluation index in the new technology; According to the multiple weights of each evaluation index in each new technology, the game theory is used to obtain the comprehensive weight of each evaluation index in each new technology; According to the evaluation index values ​​of each new technology, the comprehensive weights of each evaluation index in each new technology are dynamically revised using the variable weight theory to obtain the revised weights of each evaluation index in each new technology; According to the evaluation index values ​​of each new technology and the revised weights of each evaluation index in each new technology, the fuzzy matter-element analysis method and the approximate ideal solution sorting method are used to obtain the applicability value of each new technology, so as to introduce adaptive new technologies for different substations.

2. The method of claim 1, wherein: The applicability evaluation index system includes one or more of the following evaluation indicators: design compliance, construction period, construction land, equipment life span, new equipment failure rate, comprehensive voltage qualification rate, online monitoring rate, expected electricity savings, expected green electricity guarantee, expected reduction in noise pollution, investment cost, operation and maintenance cost, expected cost savings, expected reduction in power outage losses and internal rate of return.

3. The method according to claim 1 or 2, wherein: The method of obtaining the comprehensive weight of each evaluation index in each new technology by using game theory according to the multiple weights of each evaluation index in each new technology includes: For each new technology, multiple initial weight vectors are constructed, and any initial weight vector is composed of the weights of each evaluation index in the new technology obtained using the same weighting method; The objective function is constructed with the goal of minimizing the deviation of all weighted weight vectors and their corresponding initial weight vectors, and any weighted weight vector is the product of an initial weight vector and its undetermined weight coefficient; Solving the objective function to obtain weight coefficients of each initial weight vector; According to each initial weight vector and the weight coefficient of each initial weight vector, the comprehensive weight of each evaluation index in the new technology is obtained.

4. The method according to any one of claims 1 to 3, wherein: According to the evaluation index values ​​of each new technology, the comprehensive weights of each evaluation index in each new technology are dynamically corrected by using the variable weight theory to obtain the corrected weights of each evaluation index in each new technology, including: For each new technology, according to the mean value of each evaluation indicator and the value of each evaluation indicator of the new technology and the balance factor, the balance value of each evaluation indicator of the new technology is obtained; By using the equilibrium value of each evaluation index of the new technology, the comprehensive weight of each evaluation index in the new technology is corrected to obtain the corrected weight of each evaluation index in the new technology.

5. The method of claim 4, wherein: For each new technology, according to the mean value of each evaluation indicator and the value of each evaluation indicator of the new technology and the balance factor, the balance value of each evaluation indicator of the new technology is obtained, including: Among them, S ij represents the equilibrium value of evaluation index j of new technology i, α i represents the equilibrium factor of new technology i, x ij represents the value of evaluation index j of new technology i, represents the mean of the evaluation index j, and m represents the total number of evaluation indicators.

6. The method according to any one of claims 1 to 5, wherein: According to the evaluation index values ​​of each new technology and the modified weights of each evaluation index in each new technology, the applicability value of each new technology is obtained by using the fuzzy matter-element analysis method and the approximate ideal solution sorting method, including: By using the principle of optimal membership, each evaluation index value of each new technology is converted into a fuzzy value, and a fuzzy matter-element matrix is ​​constructed by taking each fuzzy value as an element; Using the modified weights of the evaluation indicators in the new technologies, the fuzzy matter-element matrix is ​​weighted to obtain a weighted fuzzy matter-element matrix; According to the weighted fuzzy matter-element matrix, the applicability value of each new technology is obtained by using the approximate ideal solution sorting method.

7. The method of claim 6, wherein: The method of obtaining the applicability value of each new technology by using the approximate ideal solution sorting method according to the weighted fuzzy matter-element matrix includes: Determining a positive ideal solution and a negative ideal solution according to the weighted fuzzy matter-element matrix; Obtaining the Euclidean distances between each new technology and the positive ideal solution and the negative ideal solution respectively; According to each of the Euclidean distances, the closeness of each new technology to the positive ideal solution is obtained and used as the applicability value of the new technology.

8. The method according to any one of claims 1 to 7, wherein: For each new technology, different weighting methods are used to weight each evaluation index in the applicability evaluation index system, including: For each new technology, the intuitive fuzzy hierarchical analysis method and the entropy weight method are used to assign weights to each evaluation index in the applicability evaluation index system.

9. A computing device comprising: at least one processor; as well as A memory storing program instructions, wherein the program instructions are configured to be executed by the at least one processor, and the program instructions include instructions for executing the method according to any one of claims 1 to 8.

10. A readable storage medium storing program instructions, when the program instructions are read and executed by a computing device, the computing device executes the method according to any one of claims 1 to 8.

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