Comprehensive benefit determination method, determination device and electronic equipment for power distribution and utilization system

Abstract

The present application provides a method, device and electronic device for determining the comprehensive benefits of a power distribution system. The method includes: obtaining multiple target power usage scenarios of the power distribution system after it is put into use, establishing an indicator set corresponding to each target power usage scenario of the power distribution system, and constructing a target evaluation vector corresponding to each target power usage scenario based on the indicator set; obtaining the initial scenario vector and the transition probability matrix of the power distribution system, calculating the product of the initial scenario vector and the transition probability matrix to obtain a probability vector; calculating the sum of the products of the probabilities of occurrence of multiple target power usage scenarios in the probability vector and the evaluation values ​​of the corresponding multiple target power usage scenarios in the target evaluation vector to obtain a comprehensive benefit score of the power distribution system. Through the present application, the problem that the evaluation index system of the power distribution system in a single scenario is difficult to fully reflect the comprehensive benefits of the system is solved, and the purpose of determining the comprehensive benefits of the power distribution system under multiple scenarios is achieved.

Description

Technical Field

[0001] The present application relates to the field of comprehensive benefit evaluation of power distribution and utilization systems, and specifically to a comprehensive benefit determination method, determination device, computer-readable storage medium, electronic device, and electronic equipment for a power distribution and utilization system. Background Art

[0002] In the power distribution system, a soft normally open point (SNOP) is a power electronic device based on fully controlled power electronic devices. A power distribution system using SNOP is called a flexible interconnected system. SNOP can accurately control the active and reactive power of the feeders it connects to and provide a certain amount of voltage and reactive power support. The advantages of SNOP replacing traditional feeder tie switches include: balancing the load on the feeders and improving the overall power flow distribution of the system under normal operating conditions; providing reactive power and improving the feeder voltage level; reducing system operating losses and improving the economic efficiency of system operation; and improving the distribution network's ability to absorb distributed power sources. In the event of a fault, it limits the fault current and ensures uninterrupted power supply to the load. However, power distribution systems, especially flexible interconnected systems, have multiple different application scenarios. Calculating various evaluation indicators in different application scenarios will produce different evaluation results, especially energy efficiency and reliability indicators. Therefore, the evaluation indicator system of a power distribution system in a single scenario is difficult to fully reflect the overall benefits of the system.

[0003] Therefore, there is an urgent need for a method that can evaluate the comprehensive benefits of power distribution and utilization systems in multiple scenarios. Summary of the Invention

[0004] The main purpose of this application is to provide a method for determining the comprehensive benefits of a power distribution system, a determination device, a computer-readable storage medium, an electronic device and an electronic device, so as to at least solve the problem in the prior art that the evaluation index system of a power distribution system in a single scenario is difficult to fully reflect the comprehensive benefits of the system.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for determining the comprehensive benefits of a power distribution system is provided, including: obtaining multiple target power usage scenarios of the power distribution system after it is put into use, establishing an indicator set corresponding to each target power usage scenario of the power distribution system, and constructing a target evaluation vector corresponding to each target power usage scenario based on the indicator set, wherein any two target power usage scenarios have at least one of the following differences: the transmission voltage and transmission power of the power distribution system, the indicator set includes multiple evaluation indicators, the evaluation indicators are used to evaluate the benefits of the power distribution system, and each element in the target evaluation vector represents an evaluation value corresponding to the evaluation indicator; obtaining the initial scenario vector and the transition probability matrix of the power distribution system, and calculating the initial scenario vector. The product of the quantity and the transfer probability matrix is ​​used to obtain a probability vector, wherein the probability vector represents the probability of occurrence of multiple target power usage scenarios, the elements in the initial scenario vector include the transmission voltage and transmission power of the power distribution system in the initial power usage scenario, the initial power usage scenario is the power usage scenario at the moment when the power distribution system is put into use, and the transfer probability matrix is ​​used to represent the probability of the power distribution system transferring from the initial power usage scenario to multiple target power usage scenarios; the sum of the products of the probabilities of occurrence of multiple target power usage scenarios in the probability vector and the evaluation values ​​of the corresponding multiple target power usage scenarios in the target evaluation vector is calculated to obtain the comprehensive benefit score of the power distribution system, wherein the comprehensive benefit score represents the comprehensive benefit of the power distribution system in multiple target power usage scenarios.

[0006] Optionally, a target evaluation vector corresponding to each target electricity usage scenario is constructed according to the indicator set, including: establishing multiple evaluation matrices corresponding to the target electricity usage scenarios according to the indicator set, wherein the value of the element in the evaluation matrix represents the membership of the evaluation indicator to the comment, the membership represents the degree of membership and the value is between 0 and 1, the sum of the row vectors of the evaluation matrix is ​​1, and the comment represents the quality of the evaluation indicator; establishing a weight matrix, and calculating the product of the weight matrix and the evaluation matrix to obtain a target evaluation matrix, wherein the value of the element in the weight matrix represents the relative importance of the evaluation indicator, and the evaluation value is used to characterize the evaluation result of the evaluation indicator; dividing the target evaluation matrix according to the row vector to obtain multiple target row vectors, comparing the values ​​of the membership in the target row vectors, and taking the value with the largest membership in one of the target row vectors as the element of the target evaluation vector to establish the target evaluation vector.

[0007] Optionally, calculating the product of the initial scenario vector and the transition probability matrix to obtain a probability vector includes: obtaining the initial power usage scenarios multiple times, taking the multiple initial power usage scenarios as elements of the initial scenario vector, constructing the initial scenario vector, calculating the product of the initial scenario vector and the transition probability matrix to obtain multiple target power usage scenarios, counting the number of times each power usage scenario occurs, calculating the ratio of the number of times each power usage scenario occurs to the number of times the initial power usage scenario is obtained, and obtaining the probability vector.

[0008] Optionally, a set of indicators corresponding to each target power consumption scenario of the power distribution system is established, including: establishing a first-level indicator set, wherein the contents of the first-level indicator set include economic evaluation indicators, energy efficiency evaluation indicators and reliability evaluation indicators; establishing second-level indicators corresponding to the economic evaluation indicators, wherein the second-level indicators corresponding to the economic evaluation indicators at least include system operation loss rate indicators, annual rate of return indicators and investment payback period indicators; establishing second-level indicators corresponding to the energy efficiency evaluation indicators, wherein the second-level indicators corresponding to the energy efficiency evaluation indicators at least include system operation loss indicators, system voltage indicators, load balancing indicators and distributed power supply absorption capacity indicators; establishing second-level indicators corresponding to the reliability evaluation indicators, wherein the second-level indicators corresponding to the reliability evaluation indicators at least include power loss load recovery ratio indicators and node voltage over-limit ratio indicators; establishing a second-level indicator set based on the second-level indicators corresponding to the economic evaluation indicators, the second-level indicators corresponding to the energy efficiency evaluation indicators and the second-level indicators corresponding to the reliability evaluation indicators.

[0009] Optionally, an evaluation matrix corresponding to each of the target electricity usage scenarios is established based on the indicator set, including: obtaining the membership of the evaluation indicators in the indicator set to the comments, generating multiple sub-evaluation vectors corresponding to the evaluation indicators, and calculating the average value of each of the sub-evaluation vectors to obtain the evaluation value corresponding to each of the evaluation indicators, and using the evaluation value corresponding to each of the evaluation indicators as an element of the evaluation vector to establish the evaluation vector; combining the evaluation vectors corresponding to each of the evaluation indicators in the indicator set to obtain the evaluation matrix corresponding to the indicator set.

[0010] Optionally, a weight matrix corresponding to each target power usage scenario is established, including: according to the formula A=(a ij ) n×n , establish the judgment matrix corresponding to the indicator set, where a ij Indicates the relative importance between the i-th evaluation index and the j-th evaluation index in the judgment matrix, and n indicates the number of evaluation indexes in the index set; according to the formula B=(b pm ) n×n=lgA, calculate the antisymmetric matrix of the judgment matrix, and according to the formula Calculate the optimal transfer matrix of the antisymmetric matrix, where p represents the pth evaluation index in the antisymmetric matrix and m represents the mth evaluation index in the antisymmetric matrix; according to the optimal transfer matrix and formula And the formula The weight matrix W=(ω1,ω2,...,ω n ), where ω i is the i-th element of the weight vector W.

[0011] Optionally, a judgment matrix corresponding to the indicator set is established, including: obtaining the assignment results of the relative importance between each pair of the evaluation indicators in the indicator set to obtain multiple assignment results; judging whether the multiple assignment results are the same, and if they are the same, generating the assignment results of the evaluation indicators to the judgment matrix; and if they are different, again obtaining multiple assignment results of the relative importance between each pair of the evaluation indicators in the indicator set by each expert.

[0012] According to another aspect of the present application, a device for determining the comprehensive benefits of a power distribution system is provided, comprising: a construction unit for obtaining a plurality of target power usage scenarios of the power distribution system after it is put into use, establishing an indicator set corresponding to each target power usage scenario of the power distribution system, and constructing a target evaluation vector corresponding to each target power usage scenario based on the indicator set, wherein any two target power usage scenarios have at least one of the following differences: the transmission voltage and transmission power of the power distribution system, the indicator set includes a plurality of evaluation indicators, the evaluation indicators are used to evaluate the benefits of the power distribution system, and each element in the target evaluation vector represents an evaluation value corresponding to one of the evaluation indicators; a first execution unit for obtaining an initial scenario vector and a transition probability matrix of the power distribution system, and calculating the initial scenario vector. The product of the initial scenario vector and the transfer probability matrix is ​​used to obtain a probability vector, wherein the probability vector represents the probability of occurrence of multiple target power usage scenarios, the elements in the initial scenario vector include the transmission voltage and transmission power of the power distribution system in the initial power usage scenario, the initial power usage scenario is the power usage scenario at the moment the power distribution system is put into use, and the transfer probability matrix is ​​used to represent the probability of the power distribution system transferring from the initial power usage scenario to multiple target power usage scenarios; the second execution unit is used to calculate the sum of the products of the probabilities of occurrence of multiple target power usage scenarios in the probability vector and the evaluation values ​​of the corresponding multiple target power usage scenarios in the target evaluation vector to obtain a comprehensive benefit score of the power distribution system, wherein the comprehensive benefit score represents the comprehensive benefit of the power distribution system in multiple target power usage scenarios.

[0013] According to another aspect of the present application, a computer-readable storage medium is provided, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for determining the comprehensive benefits of the power distribution system.

[0014] According to another aspect of the present application, an electronic device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute any of the above-mentioned methods for determining the comprehensive benefits of a power distribution system through the computer program.

[0015] According to another aspect of the present application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein 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 a method for determining the comprehensive benefits of the power distribution system described above.

[0016] To apply the technical solution of the present application, first, after the power distribution system is put into use, multiple target power usage scenarios are obtained, an indicator set is established for each target power usage scenario, and a target evaluation vector corresponding to the target power usage scenario is constructed based on multiple evaluation indicators in the indicator set. After that, the initial scenario vector and the transition probability matrix of the power distribution system are obtained, and the product of the initial scenario vector and the transition probability matrix is ​​calculated to obtain a probability vector to obtain the probability of occurrence of each target power usage scenario. The target evaluation vector is multiplied by the probability vector to obtain a comprehensive benefit rating matrix for the multiple target power usage scenarios. Compared with the method in the prior art that can only evaluate the comprehensive benefits of the power distribution system in a single scenario and is difficult to fully reflect the comprehensive benefits of the power distribution system, this solution can calculate the probability of occurrence of multiple target power consumption scenarios, that is, the probability vector, and calculate the sum of the products of the elements in the probability vector and the elements in the target evaluation vector to obtain the comprehensive benefits of the power distribution system under multiple target power consumption scenarios, so as to more comprehensively reflect the benefits of the power distribution system. It solves the problem in the prior art that the comprehensive benefits of the power distribution system only consider a single power consumption scenario, which makes it difficult to fully reflect the comprehensive benefits of the power distribution system, and achieves the effect of determining the comprehensive benefits under multiple scenarios of the power distribution system, thereby comprehensively and accurately determining the comprehensive benefits of the power distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings that constitute part of this application are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation on this application. In the drawings:

[0018] Figure 1A hardware structure block diagram of a mobile terminal for executing a method for determining comprehensive benefits of a power distribution and utilization system provided in an embodiment of the present application is shown;

[0019] Figure 2 A flow chart of a method for determining the comprehensive benefits of a power distribution and utilization system provided in an embodiment of the present application is shown;

[0020] Figure 3 A schematic diagram of a daily operating ratio curve of load and DG in a specific method for determining the comprehensive benefits of a power distribution and utilization system provided in an embodiment of the present application is shown;

[0021] Figure 4 A schematic diagram of a method for establishing a multi-dimensional evaluation index system in a specific method for determining the comprehensive benefits of a power distribution and utilization system provided in an embodiment of the present application is shown;

[0022] Table 1 shows a schematic diagram of a method for assigning relative importance between two evaluation indicators in a specific method for determining the comprehensive benefits of a power distribution and utilization system provided in an embodiment of the present application;

[0023] Figure 5 A schematic diagram of a method for establishing a weight matrix in a specific method for determining the comprehensive benefits of a power distribution and utilization system provided in an embodiment of the present application is shown;

[0024] Figure 6 A schematic diagram showing the relationship between the membership value and the comprehensive benefit score in a specific method for determining the comprehensive benefit of a power distribution and utilization system provided in an embodiment of the present application is shown;

[0025] Figure 7 A schematic diagram illustrating determination of the occurrence probability of a typical application scenario in a specific method for determining the comprehensive benefits of a power distribution and utilization system provided in an embodiment of the present application is shown;

[0026] Figure 8 The figure shows a structural block diagram of a device for determining the comprehensive benefits of a power distribution system provided according to an embodiment of the present application.

[0027] The above drawings include the following reference numerals:

[0028] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. DETAILED DESCRIPTION

[0029] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0030] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] As introduced in the background technology, the evaluation index system of the power distribution system in the prior art only considers a single power usage scenario. In order to solve the problem that the evaluation index system of the power distribution system for a single power usage scenario is difficult to fully reflect the comprehensive benefits of the system, the embodiments of the present application provide a comprehensive benefit determination method, determination device, computer-readable storage medium, electronic device and electronic device for the power distribution system.

[0033] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0034] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for determining the comprehensive benefits of a power distribution system according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown) a processor 102 (the processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1More or fewer components than shown, or with Figure 1 Different configurations shown.

[0035] The memory 104 can be used to store computer programs, such as software programs and modules of application software, such as the computer program corresponding to the device information display method in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, implementing the above-mentioned method. The memory 104 may include a high-speed random access memory and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned networks include but are not limited to the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wireless network provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, abbreviated as NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0036] In this embodiment, a method for determining the comprehensive benefits of a power distribution system running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0037] Figure 2 This is a flow chart of a method for determining the comprehensive benefits of a power distribution system according to an embodiment of the present application. Figure 2 As shown, the method includes the following steps:

[0038] Step S201: Acquire multiple target power usage scenarios of the power distribution system after it is put into use, establish an indicator set corresponding to each of the target power usage scenarios of the power distribution system, and construct a target evaluation vector corresponding to each of the target power usage scenarios based on the indicator set, wherein any two of the target power usage scenarios have at least one of the following differences: the transmission voltage and transmission power of the power distribution system, the indicator set includes multiple evaluation indicators, and the evaluation indicators are used to evaluate the benefits of the power distribution system. Each element in the target evaluation vector represents an evaluation value corresponding to one of the evaluation indicators.

[0039] Specifically, in actual applications, the power distribution system will have a variety of power usage scenarios, different transmission powers and transmission voltages, and switching between different transmission lines. Calculating various evaluation indicators in the context of different power usage scenarios will obtain different evaluation results, especially energy efficiency and reliability indicators, which are difficult to fully reflect the comprehensive benefits of the system. Therefore, different application scenarios should be considered when evaluating the comprehensive benefits of the system. This application takes a flexible interconnected system as an example, considers multiple typical power usage scenarios of a flexible interconnected power distribution system, and evaluates the comprehensive benefits of the power distribution system. As mentioned in the background technology, using SNOP to replace traditional feeder tie switches based on circuit breakers can make up for the constraints on the operation of the distribution system caused by the number of switching operations and adjustment capabilities of primary equipment, realize normalized flexible "soft connection" between feeders, provide flexible, fast, and precise power exchange control and power flow optimization, and form a hybrid power supply mode that combines the characteristics of radial and ring network power supply modes. The multi-mesh flexible distribution network constructed has the characteristics of fast response speed, continuous control, and strong regulation capability. It can meet the customized power needs of new distribution systems such as distributed energy consumption, widespread access to electric vehicles, the continuous increase in energy storage and controllable loads, and high power quality and high power supply reliability. Therefore, the application scenarios of SNOP-based distribution and utilization systems are more diverse and complex. When conducting comprehensive benefit evaluation, the benefits under various power usage scenarios should be considered to fully and accurately reflect the comprehensive benefits of SNOP-based distribution and utilization systems. Comprehensive benefits include the comprehensive results of evaluating multiple evaluation indicators, such as economy, energy efficiency, and reliability.

[0040] Step S202: Obtain an initial scenario vector and a transition probability matrix of the power distribution system, calculate the product of the initial scenario vector and the transition probability matrix, and obtain a probability vector, wherein the probability vector represents the probability of occurrence of the plurality of target power usage scenarios, and the elements of the initial scenario vector include the transmission voltage and transmission power of the power distribution system under the initial power usage scenario. The initial power usage scenario is the power usage scenario at the moment when the power distribution system is put into use, and the transition probability matrix is ​​used to represent the probability of the power distribution system transferring from the initial power usage scenario to the plurality of target power usage scenarios.

[0041] Specifically, multiple target power usage scenarios can be switched between, and the number of times each target power usage scenario occurs is different, that is, the probability of each target power usage scenario occurring is different. The probability of mutual transfer between multiple target power usage scenarios can be represented by a transfer probability matrix. Therefore, the probability of occurrence of each power usage scenario is calculated by multiplying the initial scenario vector corresponding to the initial power usage scenario when the system is just put into use with the transfer probability matrix.

[0042] Step S203, calculate the sum of the products of the probabilities of occurrence of the multiple target power usage scenarios in the above probability vector and the evaluation values ​​of the corresponding multiple target power usage scenarios in the above target evaluation vector, and obtain the comprehensive benefit score of the above power distribution system, wherein the above comprehensive benefit score represents the comprehensive benefit of the above power distribution system under the multiple target power usage scenarios.

[0043] Specifically, after obtaining the probability of each power usage scenario and the evaluation value of each power usage scenario, the product of the probability of each power usage scenario and the corresponding evaluation value is calculated to obtain a comprehensive evaluation value for each power usage scenario. The comprehensive evaluation values ​​of each scenario are then added together to obtain a comprehensive benefit score for the power distribution system, thereby determining the comprehensive benefits of the power distribution system under various scenarios. After determining the comprehensive benefits of the power distribution system, the power distribution system can be adjusted and improved accordingly based on the comprehensive benefits of the system, and investment in power distribution systems with better benefits can be increased to improve resource utilization and enhance the company's sustainable development capabilities.

[0044] Through this embodiment, first, after the power distribution system is put into use, multiple target power usage scenarios are obtained, an indicator set is established for each target power usage scenario, and a target evaluation vector corresponding to the target power usage scenario is constructed based on multiple evaluation indicators in the indicator set. After that, the initial scenario vector and the transition probability matrix of the power distribution system are obtained, and the product of the above initial scenario vector and the above transition probability matrix is ​​calculated to obtain a probability vector to obtain the probability of occurrence of each target power usage scenario, and the target evaluation vector is multiplied by the probability vector to obtain a comprehensive benefit rating matrix for the multiple target power usage scenarios mentioned above. Compared with the method in the prior art that can only evaluate the comprehensive benefits of the power distribution system in a single scenario and is difficult to fully reflect the comprehensive benefits of the power distribution system, this solution can calculate the probability of occurrence of multiple target power consumption scenarios, that is, the probability vector, and calculate the sum of the products of the elements in the probability vector and the elements in the target evaluation vector to obtain the comprehensive benefits of the power distribution system under multiple target power consumption scenarios, so as to more comprehensively reflect the benefits of the power distribution system. It solves the problem in the prior art that the comprehensive benefits of the power distribution system only consider a single power consumption scenario, which makes it difficult to fully reflect the comprehensive benefits of the power distribution system, and achieves the effect of determining the comprehensive benefits under multiple scenarios of the power distribution system, thereby comprehensively and accurately determining the comprehensive benefits of the power distribution system.

[0045] During the specific implementation process, the above-mentioned step S201 can be implemented through the following steps: constructing a target evaluation vector corresponding to each of the above-mentioned target power consumption scenarios according to the above-mentioned indicator set, including: establishing an evaluation matrix corresponding to each of the above-mentioned target power consumption scenarios according to the above-mentioned indicator set, wherein the value of the element in the above-mentioned evaluation matrix represents the membership of the above-mentioned evaluation indicator to the comment, the above-mentioned membership represents the degree of membership and the value is between 0 and 1, the sum of the row vectors of the above-mentioned evaluation matrix is ​​1, and the above-mentioned comment represents the quality of the above-mentioned evaluation indicator; establishing a weight matrix corresponding to each of the above-mentioned target power consumption scenarios, and calculating the product of the above-mentioned weight matrix and the above-mentioned evaluation matrix to obtain a target evaluation matrix corresponding to each of the above-mentioned target power consumption scenarios, wherein the value of the element in the above-mentioned weight matrix represents the relative importance of the above-mentioned evaluation indicator, and the above-mentioned evaluation value is used to characterize the evaluation result of the above-mentioned evaluation indicator; dividing the above-mentioned target evaluation matrix according to the row vector to obtain multiple target row vectors, comparing the values ​​of the above-mentioned membership in the above-mentioned target row vectors, and taking the value of the above-mentioned membership with the largest degree in the above-mentioned target row vector as the element of the above-mentioned target evaluation vector to establish the above-mentioned target evaluation vector. This method establishes an evaluation matrix and a weight matrix, and calculates the product of the evaluation matrix and the weight matrix to obtain a target evaluation matrix and a target evaluation vector. In this way, the final score of each evaluation indicator can be obtained according to the relative importance of each evaluation indicator and the evaluation value of each evaluation indicator, so as to determine the benefits of the power distribution system in terms of each evaluation indicator.

[0046] In some optional implementations, the indicator set is divided into multiple levels, each level corresponds to an indicator set, and each indicator set includes multiple evaluation indicators. For example, the first-level indicator set includes economy, energy efficiency and reliability, and the second-level indicator set includes the indicators included in each first-level indicator. For example, the economic indicator includes the system operation loss rate indicator, the annual rate of return indicator and the investment payback period indicator. The energy efficiency indicator and the reliability indicator will be described in detail below. Establish an indicator set U = {u1, u2, ..., u n}, and select five evaluation criteria: poor, relatively poor, fair, relatively good, and good to form the evaluation set V = {v1, v2, v3, v4, v5}. Each indicator corresponding to these evaluation criteria has a different score, or degree of membership. For example, the scores for the economic indicator corresponding to each evaluation in the evaluation set are: poor (0.1), relatively poor (0.1), fair (0.1), relatively good (0.3), and good (0.4). Other evaluation criteria, such as energy efficiency and reliability, as well as the included secondary indicators, also have corresponding evaluation scores. The sum of the scores for each evaluation criterion is 1, thus constructing an evaluation matrix. Since each evaluation criterion reflects different aspects of the distribution system, and each aspect has different impacts on the benefits of the distribution system, the importance of each evaluation criterion also varies. A weight matrix is ​​established based on the relative importance of each criterion. For example, if the economic criterion and the energy efficiency criterion are equally important, the elements of the matrices corresponding to the economic criterion and the energy efficiency criterion are assigned a value of 1. Afterwards, the elements in the evaluation matrix are multiplied by the corresponding elements in the weight matrix to obtain the target evaluation matrix. Each row in the target evaluation matrix is ​​the membership value corresponding to an evaluation index. According to the maximum membership principle, the value with the largest membership in each row is used as the evaluation value of the evaluation index, and the corresponding comment is the comment corresponding to the evaluation index. For example: the evaluation value corresponding to the comment "good" in the economic evaluation index is the largest, then the economic evaluation result of the above-mentioned distribution system is "good".

[0047] In order to calculate the probability of occurrence of each target power usage scenario, the above-mentioned step S202 of the present application can be implemented by the following steps: obtaining the above-mentioned initial power usage scenarios multiple times, using the multiple initial power usage scenarios as elements of the above-mentioned initial scenario vector, constructing the above-mentioned initial scenario vector, calculating the product of the above-mentioned initial scenario vector and the above-mentioned transition probability matrix, obtaining the multiple above-mentioned target power usage scenarios, counting the number of occurrences of each above-mentioned power usage scenario, calculating the ratio of the number of occurrences of each above-mentioned power usage scenario to the above-mentioned total number of occurrences, and obtaining the above-mentioned probability vector. This method obtains the probability of occurrence of multiple target power usage scenarios by multiplying the initial scenario vector and the transition probability matrix, so that the power usage scenarios that may occur in the power distribution system and the probability of each power usage scenario occurring can be inferred through the transition probability matrix.

[0048] Specifically, the initial power usage scenario of the system can be the power usage scenario when the system is just put into use, or it can be obtained by sampling the power usage scenario of the power distribution system multiple times during use, such as sampling the transmission voltage and transmission current of the power distribution system multiple times at intervals when the power distribution system is running, to obtain multiple initial power usage scenarios. The multiple target power usage scenarios can be selected from typical application scenarios that often appear in the power distribution system, and the typical application scenarios can be screened by cluster analysis. The transition probability matrix can be obtained through multiple experimental simulations, and then the Markov method is used to predict the development trend of the power distribution system, count the number of occurrences of each target power usage scenario, calculate the ratio of the number of occurrences of each target power usage scenario to the number of times the initial power usage scenario is obtained, and determine the probability of occurrence of each typical application scenario, i.e., the target power usage scenario.

[0049] The above-mentioned step S201 can also be implemented in other ways, for example: establishing an indicator set corresponding to each of the above-mentioned target power consumption scenarios of the above-mentioned power distribution system, including: establishing a first-level indicator set, wherein the content of the above-mentioned first-level indicator set includes economic evaluation indicators, energy efficiency evaluation indicators and reliability evaluation indicators; establishing second-level indicators corresponding to the above-mentioned economic evaluation indicators, wherein the second-level indicators corresponding to the above-mentioned economic evaluation indicators at least include system operation loss rate indicators, annual rate of return indicators and investment payback period indicators; establishing second-level indicators corresponding to the above-mentioned energy efficiency evaluation indicators, wherein the second-level indicators corresponding to the above-mentioned energy efficiency evaluation indicators at least include system operation loss indicators, system voltage indicators, load balancing indicators and distributed power supply absorption capacity indicators; establishing second-level indicators corresponding to the above-mentioned reliability evaluation indicators, wherein the second-level indicators corresponding to the above-mentioned reliability evaluation indicators at least include power failure load recovery ratio indicators and node voltage over-limit ratio indicators; establishing a second-level indicator set based on the second-level indicators corresponding to the above-mentioned economic evaluation indicators, the second-level indicators corresponding to the above-mentioned energy efficiency evaluation indicators and the second-level indicators corresponding to the above-mentioned reliability evaluation indicators. This method establishes evaluation sets of indicators at all levels based on multiple evaluation indicators of the power distribution system, so that the comprehensive benefits of the power distribution system and the benefits of various evaluation indicators can be determined to comprehensively evaluate the benefits of the power distribution system.

[0050] Specifically, the secondary indicators corresponding to the economic evaluation indicators include the following indicators: According to the formula Calculate the above system operation loss rate index, where the system operation loss mainly includes line loss and switch station loss. The above system operation loss rate index is the ratio of the loss generated during system operation to the total power load, P loss is the system operation loss, P load is the total power load of the regional power grid; according to the formula Calculate the above annual rate of return index, where the above annual rate of return is the ratio of the annual net income of the above power distribution system to the total project investment and construction cost, FInv is the annual investment income, C total is the total engineering investment and construction cost of the power distribution system; according to the formula Calculate the above investment payback period indicators, where the investment payback period is the investment payback period, which is the time required for the system operation net income to offset the total investment cost. The investment payback period represents the time required for the system operation net income to offset the total investment cost, C total is the total investment cost, F inv =Net benefit of system operation. Considering the intermittent and fluctuating output of distributed generation (DG), the operating conditions of the power grid vary greatly at different times. The quantification of some indicators can be done by using continuous power flow optimization to evaluate and analyze the operating effect of the flexible interconnected system based on SNOP in a time period, so as to fully reflect the advantage of SNOP's continuous adjustment. Continuous power flow optimization can be based on the typical daily operating ratio curve of load and DG, and each sample point can be considered to be 15 minutes apart. The schematic diagram of the daily operating ratio curve of load and DG is as follows: Figure 3 As shown, Figure 3 The power per unit value of wind power, photovoltaic power and load (actual output power of distributed power source) changes with time, and the daily operation data of each node load and each DG are simulated to optimize the system continuously. The secondary indicators corresponding to the energy efficiency evaluation index include the following indicators: According to the formula Calculate the total network loss rate index of the system according to the formula Calculate the total network loss improvement ratio index, and establish the above system operation loss index based on the above system total network loss rate index and the above total network loss improvement ratio index, where P loss (t) is the network loss of the system at time t, P G (t) is the power generation of traditional energy in the system at time t, P DGk (t) is the power generation of the distributed generation at node k at time t, f Tloss0 is the total network loss rate of the initial system within one day, f Tloss is the total network loss rate of the power distribution system in one day; according to the formula Calculate the average node voltage deviation index according to the formula Calculate the average voltage deviation improvement ratio index, and establish the above system voltage energy consumption index based on the above average node voltage deviation index and the above average voltage deviation improvement ratio index, where f u is the system node voltage deviation index at time t, T is the target time period, is the average voltage deviation of the above power distribution system during the initial use within one day, is the difference of the average voltage deviation of the above power distribution system within one day; according to the formula Calculate the above load balancing indicators, where LI k is the load rate of branch k, which is the square of the ratio of the actual current of the branch to the rated current of the branch; according to the formula Calculate the improvement ratio of distributed power consumption capacity according to the formula Calculate the utilization index of distributed power sources, and establish the above-mentioned distributed power source absorption capacity index based on the above-mentioned distributed power source absorption capacity improvement ratio index and the above-mentioned distributed power source utilization index, where P DGk 、P DGk,0 They are the absorption capacity of the k nodes in the power distribution system and the initial system for distributed power generation, P DGk is the actual output power of the k-node distributed power supply in the power distribution system, P DGk,max is the maximum output power that the k-node distributed power supply can output. The secondary indicators corresponding to the reliability evaluation index include the following indicators: According to the formula Calculate the above power failure load recovery ratio index, where P LR To restore the total load, P LL is the total amount of power-off load; Calculate the above node voltage limit ratio index, where n over is the number of nodes in the system whose voltage exceeds the limit, n b is the total number of nodes in the system.

[0051] In order to obtain an evaluation matrix more fairly and accurately, in some specific embodiments, an evaluation matrix corresponding to each of the above-mentioned target electricity usage scenarios is established based on the above-mentioned indicator set, including: obtaining the membership of the above-mentioned evaluation indicators in the above-mentioned indicator set to the above-mentioned comments, generating multiple sub-evaluation vectors corresponding to the above-mentioned evaluation indicators, and calculating the average value of each of the above-mentioned sub-evaluation vectors to obtain the evaluation value corresponding to each of the above-mentioned evaluation indicators, using the evaluation value corresponding to each of the above-mentioned evaluation indicators as an element of the evaluation vector to establish the above-mentioned evaluation vector; combining the evaluation vectors corresponding to each of the above-mentioned evaluation indicators in the above-mentioned indicator set to obtain the evaluation matrix corresponding to the above-mentioned indicator set. This method obtains the evaluation matrix by calculating the average value of multiple memberships of each evaluation indicator, which can obtain the evaluation matrix more fairly and accurately.

[0052] Specifically, in the actual application process, by soliciting expert opinions, we obtain the evaluation values ​​of multiple experts on a certain evaluation indicator in the indicator set, and calculate the average value of multiple experts as the evaluation vector of the evaluation indicator. The evaluation vector of each evaluation indicator is used as the row vector or column vector of the evaluation matrix to obtain the evaluation matrix.

[0053] In some specific embodiments, a weight matrix corresponding to each target power usage scenario is established, including: according to the formula A=(aij ) n×n , establish the judgment matrix corresponding to the above indicator set, where a ij Indicates the relative importance between the i-th evaluation index and the j-th evaluation index in the above judgment matrix, and n indicates the number of the above evaluation indexes in the above index set; according to the formula B=(b pm ) n×n =lgA, calculate the antisymmetric matrix of the above judgment matrix, and according to the formula Calculate the optimal transfer matrix of the above antisymmetric matrix, where p represents the pth evaluation index in the above antisymmetric matrix, and m represents the mth evaluation index in the above antisymmetric matrix; according to the above optimal transfer matrix and formula And the formula The above weight matrix W=(ω1,ω2,...,ω n ), where ω i is the i-th element of the weight vector W. This method finally calculates the weight matrix by establishing a judgment matrix. In this way, the judgment matrix can be established according to the relative importance of each evaluation index to accurately calculate the weight matrix.

[0054] Specifically, after obtaining the judgment matrix of indicators at all levels, the optimal transfer matrix is ​​used to avoid consistency testing, thereby improving the calculation efficiency and the accuracy and objectivity of the judgment process. The relative importance between the i-th evaluation indicator and the j-th evaluation indicator in the judgment matrix is ​​represented by a number, for example: 1 represents that the i-th evaluation indicator and the j-th evaluation indicator are equally important, 3 represents that the i-th evaluation indicator is slightly more important than the j-th evaluation indicator, and 5 represents that the i-th evaluation indicator and the j-th evaluation indicator are obviously important. In this way, a judgment matrix is ​​established, and then the antisymmetric matrix and the optimal matrix of the judgment matrix are calculated, and then the weight matrix is ​​calculated. It should be noted that the above calculation method is only an optional implementation method of the present application. In actual application, any other effective method can be used to calculate the weight matrix.

[0055] In order to accurately calculate the judgment matrix in the above steps, in some optional embodiments, a judgment matrix corresponding to the above indicator set is established, including: obtaining the assignment results of the relative importance between the two evaluation indicators in the above indicator set to obtain multiple assignment results; determining whether the multiple assignment results are the same, and if they are the same, generating the assignment results of the evaluation indicators into the above judgment matrix; if they are different, obtaining multiple assignment results of the relative importance between the two evaluation indicators in the above indicator set again by each expert. Through this method, by determining whether multiple assignment results are the same, a judgment matrix can be calculated relatively fairly and accurately, reducing the error of a single assignment result.

[0056] Specifically, when obtaining the relative importance of each evaluation indicator, multiple experts are also required to assign values. If the assignment results of multiple experts are the same, it means that from experience, multiple experts have the same views on the relative importance of the two indicators. If they are different, it means that there is a disagreement on the relative importance of the two evaluation indicators. In this case, multiple experts are required to re-assign values ​​until multiple experts agree on the relative importance of the two evaluation indicators, so as to ensure that the weight matrix can be accurately calculated.

[0057] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the comprehensive benefit determination method of the power distribution system of the present application will be described in detail below with reference to specific embodiments.

[0058] This embodiment relates to a specific method for determining the comprehensive benefits of a power distribution system, as shown in Table 1. Figures 4 to 7 As shown, the following steps are included:

[0059] Step S1: Figure 4 As shown in the figure, a multi-dimensional evaluation system for flexible interconnection systems is established, including economic indicators, energy efficiency indicators and reliability indicators. Economic indicators include system operation loss rate, annual rate of return and investment payback period. Energy efficiency indicators include system operation loss, system voltage, load balancing and distributed power supply absorption capacity. System operation loss includes total network loss rate and total network loss improvement ratio. System voltage includes average node voltage deviation and average voltage deviation improvement ratio. Load balancing includes load balancing degree and load balancing degree improvement ratio. Distributed power supply absorption capacity includes distributed power supply absorption capacity improvement ratio and distributed power supply utilization rate. Reliability indicators include power loss load recovery ratio and node voltage limit exceeding ratio.

[0060] Step S2: Establish an evaluation matrix: Make single factor judgments on each indicator and form an evaluation matrix R. Establish the evaluation vector r of each indicator i ={r i1 ,r i2 ,...,r i5}, r ij is the i-th state indicator u i For the jth comment v j The membership degree, 0≤r ij ≤1, and satisfies r i1 +r i2 +r i3 +r i4 +r i5= 1. By soliciting expert opinions, we obtain the evaluation vectors of multiple experts on a certain indicator and calculate their average value as the value of the evaluation vector of a certain indicator. We combine the evaluation vectors of multiple evaluation indicators to obtain the evaluation matrix.

[0061] Step S3: Obtain weight matrix: Improve the analytic hierarchy process and combine it with the Delphi method to calculate the weights of the evaluation indicators of the same level and obtain the indicator weight matrix W. First, construct the judgment matrix A based on the Delphi method: Assuming there are n indicators, the judgment matrix A can be constructed as follows: (a ij ) n×n , judge the matrix element a ij Reflects the relative importance between the i-th indicator and the j-th indicator, and satisfies the following relationship: The element value selection rule is based on the "1-9 scale method" shown in Table 1. Table 1 shows the method for assigning the relative importance of each evaluation index in a method for determining the comprehensive benefits of a power distribution system provided by an embodiment of the present application. As shown in Table 1, the Delphi method is used to construct a judgment matrix A based on the experience of multiple experts. The assignment process is as follows: Figure 5 As shown in the figure: Establish a multi-dimensional evaluation system for flexible interconnected systems; solicit expert opinions, that is, each expert assigns a value to the relative importance of different indicators at the same level; organize, summarize, and count the assigned results to determine whether the opinions of the experts are consistent. In the case of consistency, output the consensus opinion, that is, the judgment matrix of indicators at all levels. In the case of inconsistency, anonymous feedback of the statistical results is given, and expert opinions are solicited again.

[0062] Table 1

[0063]

[0064] Step S4: Calculate the weight matrix: After obtaining the judgment matrix of each level of indicators, the improved hierarchical analysis method uses the optimal transfer matrix to avoid consistency testing, improve the calculation efficiency and the accuracy and objectivity of the judgment process. Step 1: Calculate the antisymmetric matrix B of the judgment matrix A, B = (b ij ) n×n =lgA; Step 2: Calculate the optimal transfer matrix C: The third step is to calculate the weights corresponding to each indicator n and normalize them to obtain the corresponding weight vector W = (ω1,ω2,...,ω n ), Where: ω i is the i-th element of the weight vector W; n is the order of the judgment matrix.

[0065] Step S5: Fuzzy comprehensive calculation: Calculate the fuzzy comprehensive evaluation vector G based on the obtained evaluation matrix R and weight matrix W. The calculation formula is as follows: G=WoR, where "o" is the fuzzy synthesis operator, and the optional fuzzy operator is multiplication.

[0066] Step S6: Quantify the fuzzy comprehensive evaluation results: According to the maximum membership principle, select the comment with the highest membership value in the fuzzy comprehensive evaluation vector G as the comprehensive benefit evaluation result of the flexible interconnection system, and substitute it into the inverse function of the membership function. Figure 6 The relationship between the membership value and the comprehensive benefit score is shown. Good, better, average, poor and bad correspond to different scores of the comprehensive benefit score, thereby obtaining the comprehensive benefit score g in a single application scenario. i , i is the i-th typical application scenario.

[0067] Step S7: Calculate the comprehensive benefit evaluation results of the flexible interconnection system under multiple scenarios: Screen out typical application scenarios of the flexible interconnection system through cluster analysis, and use the Markov method to predict the future development trend of the system based on the transition probability between the initial state and possible states of the system, and determine the occurrence probability λ of each typical application scenario i , i is the i-th typical application scenario. Markov method determines the occurrence probability λ of the typical application scenario i The process is as follows Figure 7 As shown: Determine the transition probability matrix, determine the initial state probability vector and the total number of simulations, use the Markov method to predict the system state probability matrix at time t, count the number of times each application scenario occurs during the simulation time period, and determine the probability λ of each application scenario occurring i ; According to the probability of occurrence of each scenario λ i and its comprehensive benefit score g i Calculate the final comprehensive benefit evaluation results g of the flexible interconnection system under multiple scenarios f , the calculation formula is as follows:

[0068]

[0069] Among them, n is the n typical application scenarios screened out, and i is the i-th typical application scenario.

[0070] The embodiment of the present application also provides a comprehensive benefit determination device for a power distribution system. It should be noted that the comprehensive benefit determination device for a power distribution system of the embodiment of the present application can be used to execute the comprehensive benefit determination method for a power distribution system provided by the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation methods, and those that have been explained will not be repeated here. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0071] The following introduces the comprehensive benefit determination device of the power distribution system provided in the embodiment of the present application.

[0072] Figure 8 Schematic diagram of a device for determining the comprehensive benefits of a power distribution system according to an embodiment of the present application. Figure 8 As shown, the device includes:

[0073] A construction unit 10 is configured to obtain a plurality of target power usage scenarios of the power distribution system after the system is put into use, establish an indicator set corresponding to each of the target power usage scenarios of the power distribution system, and construct a target evaluation vector corresponding to each of the target power usage scenarios based on the indicator set, wherein any two of the target power usage scenarios differ from each other by at least one of the following: the transmission voltage and transmission power of the power distribution system; the indicator set includes a plurality of evaluation indicators, and the evaluation indicators are used to evaluate the benefits of the power distribution system; and each element in the target evaluation vector represents an evaluation value corresponding to one of the evaluation indicators.

[0074] A first execution unit 20 is configured to obtain an initial scenario vector and a transition probability matrix of the power distribution system, calculate the product of the initial scenario vector and the transition probability matrix, and obtain a probability vector, wherein the probability vector represents the probability of occurrence of the plurality of target power usage scenarios, the elements of the initial scenario vector include the transmission voltage and transmission power of the power distribution system under the initial power usage scenario, the initial power usage scenario being the power usage scenario at the moment the power distribution system is put into use, and the transition probability matrix is ​​used to represent the probability of the power distribution system transitioning from the initial power usage scenario to the plurality of target power usage scenarios;

[0075] The second execution unit 30 is used to calculate the sum of the products of the probabilities of occurrence of the multiple target power usage scenarios in the above-mentioned probability vector and the evaluation values ​​of the corresponding multiple target power usage scenarios in the above-mentioned target evaluation vector, to obtain the comprehensive benefit score of the above-mentioned power distribution system, wherein the above-mentioned comprehensive benefit score represents the comprehensive benefit of the above-mentioned power distribution system under the multiple target power usage scenarios.

[0076] Through this embodiment, after the power distribution system is put into use, multiple target power consumption scenarios are obtained, an indicator set is established for each target power consumption scenario, a target evaluation vector corresponding to the target power consumption scenario is constructed based on multiple evaluation indicators in the indicator set, the initial scenario vector and the transition probability matrix of the power distribution system are obtained, and the product of the above initial scenario vector and the above transition probability matrix is ​​calculated to obtain a probability vector to obtain the probability of occurrence of each target power consumption scenario, and the target evaluation vector is multiplied by the probability vector to obtain a comprehensive benefit scoring matrix for multiple of the above target power consumption scenarios. Compared with the devices in the prior art that can only evaluate the comprehensive benefits of the power distribution system in a single scenario and are unable to fully reflect the comprehensive benefits of the power distribution system, this solution can calculate the probability of occurrence of multiple target power consumption scenarios, that is, the probability vector, and calculate the sum of the products of the elements in the probability vector and the elements in the target evaluation vector to obtain the comprehensive benefits of the power distribution system under multiple target power consumption scenarios, so as to more comprehensively reflect the benefits of the power distribution system. This solves the problem in the prior art that the comprehensive benefits of the power distribution system only consider a single power consumption scenario, which makes it difficult to fully reflect the comprehensive benefits of the power distribution system, and achieves the effect of determining the comprehensive benefits under multiple scenarios of the power distribution system, thereby comprehensively and accurately determining the comprehensive benefits of the power distribution system.

[0077] During the specific implementation process, the construction unit includes a first establishment module, a second establishment module and a third establishment module, wherein the first establishment module is used to establish an evaluation matrix corresponding to each of the above-mentioned target power consumption scenarios based on the above-mentioned indicator set, wherein the value of the element in the above-mentioned evaluation matrix represents the membership of the above-mentioned evaluation indicator to the comment, the above-mentioned membership represents the degree of membership and the value is between 0 and 1, the sum of the row vectors of the above-mentioned evaluation matrix is ​​1, and the above-mentioned comment represents the quality of the above-mentioned evaluation indicator; the second establishment module is used to establish a weight matrix corresponding to each of the above-mentioned target power consumption scenarios, and calculate the product of the above-mentioned weight matrix and the above-mentioned evaluation matrix to obtain a target evaluation matrix corresponding to each of the above-mentioned target power consumption scenarios, wherein the value of the element in the above-mentioned weight matrix represents the relative importance of the above-mentioned evaluation indicator, and the above-mentioned evaluation value is used to characterize the evaluation result of the above-mentioned evaluation indicator; the third establishment module is used to divide the above-mentioned target evaluation matrix according to the row vector to obtain multiple target row vectors, compare the values ​​of the above-mentioned membership in the above-mentioned target row vectors, and take the value of the above-mentioned membership with the largest degree in the above-mentioned target row vector as the element of the above-mentioned target evaluation vector to establish the above-mentioned target evaluation vector. The device establishes an evaluation matrix and a weight matrix, and calculates the product of the evaluation matrix and the weight matrix to obtain a target evaluation matrix and a target evaluation vector. In this way, the final score of each evaluation indicator can be obtained according to the relative importance of each evaluation indicator and the evaluation value of each evaluation indicator, so as to determine the benefits of the power distribution system in terms of each evaluation indicator.

[0078] In some optional implementations, the indicator set is divided into multiple levels, each level corresponds to an indicator set, and each indicator set includes multiple evaluation indicators. For example, the first-level indicator set includes economy, energy efficiency and reliability, and the second-level indicator set includes the indicators included in each first-level indicator. For example, the economic indicator includes the system operation loss rate indicator, the annual rate of return indicator and the investment payback period indicator. The energy efficiency indicator and the reliability indicator will be described in detail below. Establish an indicator set U = {u1, u2, ..., u n}, and select five evaluation criteria: poor, relatively poor, fair, relatively good, and good to form the evaluation set V = {v1, v2, v3, v4, v5}. Each indicator corresponding to these evaluation criteria has a different score, or degree of membership. For example, the scores for the economic indicator corresponding to each evaluation in the evaluation set are: poor (0.1), relatively poor (0.1), fair (0.1), relatively good (0.3), and good (0.4). Other evaluation criteria, such as energy efficiency and reliability, as well as the included secondary indicators, also have corresponding evaluation scores. The sum of the scores for each evaluation criterion is 1, thus constructing an evaluation matrix. Since each evaluation criterion reflects different aspects of the distribution system, and each aspect has different impacts on the benefits of the distribution system, the importance of each evaluation criterion also varies. A weight matrix is ​​established based on the relative importance of each criterion. For example, if the economic criterion and the energy efficiency criterion are equally important, the elements of the matrices corresponding to the economic criterion and the energy efficiency criterion are assigned a value of 1. Afterwards, the elements in the evaluation matrix are multiplied by the corresponding elements in the weight matrix to obtain the target evaluation matrix. Each row in the target evaluation matrix is ​​the membership value corresponding to an evaluation index. According to the maximum membership principle, the value with the largest membership in each row is used as the evaluation value of the evaluation index, and the corresponding comment is the comment corresponding to the evaluation index. For example: the evaluation value corresponding to the comment "good" in the economic evaluation index is the largest, then the economic evaluation result of the above-mentioned distribution system is "good".

[0079] To calculate the probability of each target power usage scenario occurring, the first execution unit includes a calculation module for obtaining the aforementioned initial power usage scenarios multiple times, using the aforementioned initial power usage scenarios as elements of the aforementioned initial scenario vector, constructing the aforementioned initial scenario vector, calculating the product of the aforementioned initial scenario vector and the aforementioned transition probability matrix to obtain the aforementioned multiple target power usage scenarios, counting the number of occurrences of each aforementioned power usage scenario, and calculating the ratio of the number of occurrences of each aforementioned power usage scenario to the aforementioned total number of occurrences to obtain the aforementioned probability vector. The device obtains the probability of occurrence of the aforementioned multiple target power usage scenarios by multiplying the initial scenario vector and the transition probability matrix. In this way, the transition probability matrix can be used to infer the possible power usage scenarios of the power distribution system and the probability of each power usage scenario occurring.

[0080] Specifically, the initial power usage scenario of the system can be the power usage scenario when the system is just put into use, or it can be obtained by sampling the power usage scenario of the power distribution system multiple times during use, such as sampling the transmission voltage and transmission current of the power distribution system multiple times at intervals when the power distribution system is running, to obtain multiple initial power usage scenarios. The multiple target power usage scenarios can be selected from typical application scenarios that often appear in the power distribution system, and the typical application scenarios are obtained by screening the device through cluster analysis. The transition probability matrix can be obtained through multiple experimental simulations, and then the Markov method is used to predict the development trend of the power distribution system, count the number of occurrences of each target power usage scenario, calculate the ratio of the number of occurrences of each target power usage scenario to the number of times the initial power usage scenario is obtained, and determine the probability of occurrence of each typical application scenario, i.e., the target power usage scenario.

[0081] The construction unit also includes a fourth establishment module, a fifth establishment module and a sixth establishment module, wherein the fourth establishment module is used to establish a first-level indicator set, wherein the content of the above-mentioned first-level indicator set includes economic evaluation indicators, energy efficiency evaluation indicators and reliability evaluation indicators; the fifth establishment module is used to establish second-level indicators corresponding to the above-mentioned economic evaluation indicators, wherein the second-level indicators corresponding to the above-mentioned economic evaluation indicators at least include system operation loss rate indicators, annual rate of return indicators and investment payback period indicators, establish second-level indicators corresponding to the above-mentioned energy efficiency evaluation indicators, wherein the second-level indicators corresponding to the above-mentioned energy efficiency evaluation indicators at least include system operation loss indicators, system voltage indicators, load balancing indicators and distributed power supply absorption capacity indicators, establish second-level indicators corresponding to the above-mentioned reliability evaluation indicators, wherein the second-level indicators corresponding to the above-mentioned reliability evaluation indicators at least include power failure load recovery ratio indicators and node voltage over-limit ratio indicators; the sixth establishment module is used to establish a second-level indicator set based on the second-level indicators corresponding to the above-mentioned economic evaluation indicators, the second-level indicators corresponding to the above-mentioned energy efficiency evaluation indicators and the second-level indicators corresponding to the above-mentioned reliability evaluation indicators. The device establishes evaluation sets of indicators at all levels based on multiple evaluation indicators of the power distribution system, so as to determine the comprehensive benefits of the power distribution system and the benefits of various evaluation indicators, so as to conduct a comprehensive evaluation of the benefits of the power distribution system.

[0082] Specifically, the secondary indicators corresponding to the economic evaluation indicators include the following indicators: According to the formula Calculate the above system operation loss rate index, where the system operation loss mainly includes line loss and switch station loss. The above system operation loss rate index is the ratio of the loss generated during system operation to the total power load, P loss is the system operation loss, P load is the total power load of the regional power grid; according to the formula Calculate the above annual rate of return index, where the above annual rate of return is the ratio of the annual net income of the above power distribution system to the total project investment and construction cost, FInv is the annual investment income, C total is the total engineering investment and construction cost of the power distribution system; according to the formula Calculate the above investment payback period indicators, where the investment payback period is the investment payback period, which is the time required for the system operation net income to offset the total investment cost. The investment payback period represents the time required for the system operation net income to offset the total investment cost, C total is the total investment cost, F inv The net income of system operation. The secondary indicators corresponding to the energy efficiency evaluation index include the following indicators: According to the formula Calculate the total network loss rate index of the system according to the formula Calculate the total network loss improvement ratio index, and establish the above system operation loss index based on the above system total network loss rate index and the above total network loss improvement ratio index, where P loss (t) is the network loss of the system at time t, P G (t) is the power generation of traditional energy in the system at time t, P DGk (t) is the power generation of the distributed generation at node k at time t, f Tloss0 is the total network loss rate of the initial system within one day, f Tloss is the total network loss rate of the power distribution system in one day; according to the formula Calculate the average node voltage deviation index according to the formula Calculate the average voltage deviation improvement ratio index, and establish the above system voltage energy consumption index based on the above average node voltage deviation index and the above average voltage deviation improvement ratio index, where f u is the system node voltage deviation index at time t, T is the target time period, is the average voltage deviation of the above power distribution system during the initial use within one day, is the difference of the average voltage deviation of the above power distribution system within one day; according to the formula Calculate the above load balancing indicators, where LI k is the load rate of branch k, which is the square of the ratio of the actual current of the branch to the rated current of the branch; according to the formula Calculate the improvement ratio of distributed power consumption capacity according to the formula Calculate the utilization index of distributed power sources, and establish the above-mentioned distributed power source absorption capacity index based on the above-mentioned distributed power source absorption capacity improvement ratio index and the above-mentioned distributed power source utilization index, where P DGk 、P DGk,0 They are the absorption capacity of the k nodes in the power distribution system and the initial system for distributed power generation, P DGk is the actual output power of the k-node distributed power supply in the power distribution system, P DGk,maxis the maximum output power that the k-node distributed power supply can output. The secondary indicators corresponding to the reliability evaluation index include the following indicators: According to the formula Calculate the above power failure load recovery ratio index, where P LR To restore the total load, P LL is the total amount of power-off load; Calculate the above node voltage limit ratio index, where n over is the number of nodes in the system whose voltage exceeds the limit, n b is the total number of nodes in the system.

[0083] In order to obtain an evaluation matrix more fairly and accurately, in some specific embodiments, the first establishment module includes a first establishment submodule and an execution submodule, wherein the first establishment submodule is used to obtain the membership of the evaluation indicators in the above-mentioned indicator set to the above-mentioned comments, generate multiple sub-evaluation vectors corresponding to the above-mentioned evaluation indicators, and calculate the average value of each of the above-mentioned sub-evaluation vectors to obtain the evaluation value corresponding to each of the above-mentioned evaluation indicators, and use the evaluation value corresponding to each of the above-mentioned evaluation indicators as an element of the evaluation vector to establish the above-mentioned evaluation vector; the execution submodule is used to combine the evaluation vectors corresponding to each of the above-mentioned evaluation indicators in the above-mentioned indicator set to obtain the evaluation matrix corresponding to the above-mentioned indicator set. The device obtains the evaluation matrix by calculating the average value of multiple membership degrees of each evaluation indicator, so that the evaluation matrix can be obtained more fairly and accurately.

[0084] Specifically, in the actual application process, by soliciting expert opinions, we obtain the evaluation values ​​of multiple experts on a certain evaluation indicator in the indicator set, and calculate the average value of multiple experts as the evaluation vector of the evaluation indicator. The evaluation vector of each evaluation indicator is used as the row vector or column vector of the evaluation matrix to obtain the evaluation matrix.

[0085] In some specific embodiments, the second establishing module includes a second establishing submodule, a first calculating submodule and a second establishing submodule, wherein the second establishing submodule is used to calculate the value of the second establishing submodule according to the formula A=(a ij ) n×n , establish the judgment matrix corresponding to the above indicator set, where a ij represents the relative importance between the i-th evaluation index and the j-th evaluation index in the above judgment matrix, and n represents the number of the above evaluation indexes in the above index set; the first calculation submodule is used to calculate the value of the above evaluation index according to the formula B=(b pm ) n×n =lgA, calculate the antisymmetric matrix of the above judgment matrix, and according to the formula Calculate the optimal transfer matrix of the above antisymmetric matrix, where p represents the pth evaluation index in the above antisymmetric matrix, and m represents the mth evaluation index in the above antisymmetric matrix; the second calculation submodule is used to calculate the optimal transfer matrix according to the above optimal transfer matrix and formula And the formula The above weight matrix W=(ω1,ω2,...,ω n ), where ω i is the i-th element of the weight vector W. The device finally calculates the weight matrix by establishing the judgment matrix, so that the judgment matrix can be established according to the relative importance of each evaluation index to accurately calculate the weight matrix.

[0086] Specifically, after obtaining the judgment matrix of indicators at all levels, the optimal transfer matrix is ​​used to avoid consistency testing, thereby improving the calculation efficiency and the accuracy and objectivity of the judgment process. The relative importance between the i-th evaluation indicator and the j-th evaluation indicator in the judgment matrix is ​​represented by a number, for example: 1 represents that the i-th evaluation indicator and the j-th evaluation indicator are equally important, 3 represents that the i-th evaluation indicator is slightly more important than the j-th evaluation indicator, and 5 represents that the i-th evaluation indicator and the j-th evaluation indicator are obviously important. In this way, a judgment matrix is ​​established, and then the antisymmetric matrix and the optimal matrix of the judgment matrix are calculated, and then the weight matrix is ​​calculated. It should be noted that the above calculation method is only an optional implementation method of the present application. In actual application, any other effective device can be used to calculate the weight matrix.

[0087] In the above steps, in order to accurately calculate the judgment matrix, in some optional embodiments, the second establishment submodule includes an acquisition submodule and a judgment submodule, wherein the acquisition submodule is used to obtain the assignment results of the relative importance between the two evaluation indicators in the above indicator set, and obtain multiple assignment results; the judgment submodule is used to determine whether the multiple assignment results are the same. If they are the same, the assignment results of the evaluation indicators are generated into the above judgment matrix. If they are different, multiple assignment results of the relative importance between the two evaluation indicators in the above indicator set are obtained again by each expert. Through this device, by determining whether multiple assignment results are the same, a judgment matrix can be calculated relatively fairly and accurately.

[0088] Specifically, when obtaining the relative importance of each evaluation indicator, multiple experts are also required to assign values. If the assignment results of multiple experts are the same, it means that from experience, multiple experts have the same views on the relative importance of the two indicators. If they are different, it means that there is a disagreement on the relative importance of the two evaluation indicators. In this case, multiple experts are required to re-assign values ​​until multiple experts agree on the relative importance of the two evaluation indicators, so as to ensure that the weight matrix can be accurately calculated.

[0089] The above-mentioned device for determining the comprehensive benefits of a power distribution system includes a processor and a memory. The above-mentioned construction unit, first execution unit, and second execution unit are all stored as program units in the memory. The processor executes these program units stored in the memory to implement the corresponding functions. The above-mentioned modules are all located in the same processor; alternatively, the above-mentioned modules can be located in different processors in any combination.

[0090] The processor contains a core, which retrieves the corresponding program unit from the memory. One or more cores can be configured, and the overall efficiency of the power distribution system in various scenarios can be determined by adjusting the core parameters.

[0091] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0092] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing device, can be centralized on a single computing device, or can be distributed across a network of multiple computing devices. They can be implemented using program code executable by the computing device, and thus, can be stored in a storage device and executed by the computing device. In some cases, the steps shown or described herein can be performed in a different order than that shown, or can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0093] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0094] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0095] These computer program instructions may 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 produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0097] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0098] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0099] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0100] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0101] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0102] 1) In the method for determining the comprehensive benefits of the power distribution system of the present application, first, after the power distribution system is put into use, multiple target power usage scenarios are obtained, and an indicator set is established under each target power usage scenario. A target evaluation vector corresponding to the target power usage scenario is constructed based on multiple evaluation indicators in the indicator set. After that, the initial scenario vector and the transition probability matrix of the power distribution system are obtained, and the product of the above initial scenario vector and the above transition probability matrix is ​​calculated to obtain a probability vector to obtain the probability of occurrence of each target power usage scenario. The target evaluation vector is multiplied by the probability vector to obtain a comprehensive benefit scoring matrix for the above target power usage scenarios. Compared with the method in the prior art that can only evaluate the comprehensive benefits of the power distribution system in a single scenario and is difficult to fully reflect the comprehensive benefits of the power distribution system, this solution can calculate the probability of occurrence of multiple target power consumption scenarios, that is, the probability vector, and calculate the sum of the products of the elements in the probability vector and the elements in the target evaluation vector to obtain the comprehensive benefits of the power distribution system under multiple target power consumption scenarios, so as to more comprehensively reflect the benefits of the power distribution system. It solves the problem in the prior art that the comprehensive benefits of the power distribution system only consider a single power consumption scenario, which makes it difficult to fully reflect the comprehensive benefits of the power distribution system, and achieves the effect of determining the comprehensive benefits under multiple scenarios of the power distribution system, thereby comprehensively and accurately determining the comprehensive benefits of the power distribution system.

[0103] 2) In the method for determining the comprehensive benefits of the power distribution system of the present application, an evaluation matrix corresponding to each of the above-mentioned target power consumption scenarios is established based on the above-mentioned indicator set, and a weight matrix corresponding to each of the above-mentioned target power consumption scenarios is established, and the product of the above-mentioned weight matrix and the above-mentioned evaluation matrix is ​​calculated to obtain a target evaluation matrix corresponding to each of the above-mentioned target power consumption scenarios. In this way, the final score value of each evaluation indicator can be obtained according to the relative importance of each evaluation indicator and the evaluation value of each evaluation indicator to determine the benefits of the power distribution system in terms of each evaluation indicator. The above-mentioned initial power consumption scenarios are obtained multiple times, and the multiple initial power consumption scenarios are used as elements of the above-mentioned initial scenario vector to construct the above-mentioned initial scenario vector. The product of the above-mentioned initial scenario vector and the above-mentioned transition probability matrix is ​​calculated to obtain multiple of the above-mentioned target power consumption scenarios. The number of occurrences of each of the above-mentioned power consumption scenarios is counted, and the ratio of the number of occurrences of each of the above-mentioned power consumption scenarios to the above-mentioned total number of occurrences is calculated to obtain the above-mentioned probability vector. In this way, the possible power consumption scenarios of the power distribution system and the probability of each power consumption scenario occurring can be inferred through the transition probability matrix. Establishing a set of indicators corresponding to each target power usage scenario for the power distribution system allows for determining the overall benefits of the power distribution system and the benefits of various evaluation indicators, thereby comprehensively evaluating the benefits of the power distribution system. Establishing an evaluation matrix corresponding to each target power usage scenario based on the indicator set allows for a relatively fair and accurate evaluation matrix. Establishing a judgment matrix corresponding to the indicator set allows for a relatively fair and accurate calculation of the judgment matrix, reducing the error in single-valued results.

[0104] The above description is merely a preferred embodiment of the present application and is not intended to limit the present application. Persons skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A method for determining the comprehensive benefits of a power distribution system, characterized in that: include: Acquire multiple target power usage scenarios of the power distribution system after it is put into use, establish an indicator set corresponding to each target power usage scenario of the power distribution system, and establish an evaluation matrix corresponding to each target power usage scenario based on the indicator set, wherein the indicator set includes multiple evaluation indicators, and the evaluation indicators include at least a system operation loss rate indicator, a power failure load recovery ratio indicator, and a node voltage over-limit ratio indicator. The value of the element in the evaluation matrix represents the membership of the evaluation indicator to the comment, the comment represents the quality of the evaluation indicator, the membership represents the degree of membership and the value is between 0 and 1, and the sum of the row vectors of the evaluation matrix is ​​1; Establishing a weight matrix corresponding to each target power usage scenario, and calculating the product of the weight matrix and the evaluation matrix to obtain a target evaluation matrix corresponding to each target power usage scenario, wherein the value of the element in the weight matrix represents the relative importance of the evaluation indicator; The target evaluation matrix is ​​divided according to row vectors to obtain multiple target row vectors, the values ​​of the membership in the target row vectors are compared, and the value with the largest membership in the target row vector is used as an element of the target evaluation vector to establish the target evaluation vector, wherein any two target power usage scenarios have at least one of the following differences: the transmission voltage and transmission power of the power distribution system, and each element in the target evaluation vector represents an evaluation value corresponding to the evaluation indicator, and the evaluation value is used to represent the evaluation result of the evaluation indicator; Obtain an initial scenario vector and a transition probability matrix of the power distribution system, obtain initial power scenarios multiple times, use multiple initial power scenarios as elements of the initial scenario vector, construct the initial scenario vector, calculate the product of the initial scenario vector and the transition probability matrix, obtain multiple target power scenarios, count the number of times each power scenario occurs, calculate the ratio of the number of times each power scenario occurs to the number of times the initial power scenario is obtained, and obtain a probability vector, wherein the probability vector represents the probability of occurrence of multiple target power scenarios, the elements in the initial scenario vector include the transmission voltage and transmission power of the power distribution system under the initial power scenario, the initial power scenario is the power scenario at the moment the power distribution system is put into use, and the transition probability matrix is ​​used to represent the probability of the power distribution system transferring from the initial power scenario to the multiple target power scenarios; Calculate the sum of the products of the probabilities of occurrence of multiple target power usage scenarios in the probability vector and the evaluation values ​​of the corresponding multiple target power usage scenarios in the target evaluation vector to obtain the comprehensive benefit score of the power distribution system, wherein the comprehensive benefit score represents the comprehensive benefit of the power distribution system under multiple target power usage scenarios.

2. The determination method according to claim 1, characterized in that Establishing an indicator set corresponding to each target power usage scenario of the power distribution system, including: Establishing a first-level indicator set, wherein the first-level indicator set includes an economic evaluation indicator, an energy efficiency evaluation indicator, and a reliability evaluation indicator; Establish secondary indicators corresponding to the economic evaluation indicators, wherein the secondary indicators corresponding to the economic evaluation indicators at least include the system operation loss rate indicator, the annual rate of return indicator and the investment payback period indicator; establish secondary indicators corresponding to the energy efficiency evaluation indicators, wherein the secondary indicators corresponding to the energy efficiency evaluation indicators at least include the system operation loss indicator, the system voltage indicator, the load balancing indicator and the distributed power supply absorption capacity indicator; establish secondary indicators corresponding to the reliability evaluation indicators, wherein the secondary indicators corresponding to the reliability evaluation indicators at least include the power failure load recovery ratio indicator and the node voltage over-limit ratio indicator; A secondary indicator set is established based on the secondary indicators corresponding to the economic evaluation indicators, the secondary indicators corresponding to the energy efficiency evaluation indicators, and the secondary indicators corresponding to the reliability evaluation indicators.

3. The determination method according to claim 1, characterized in that An evaluation matrix corresponding to each target electricity usage scenario is established according to the indicator set, including: Obtaining the degree of membership of the evaluation indicator in the indicator set to the comment, generating multiple sub-evaluation vectors corresponding to the evaluation indicator, and calculating the average value of each of the sub-evaluation vectors to obtain an evaluation value corresponding to each evaluation indicator, using the evaluation value corresponding to each evaluation indicator as an element of the evaluation vector to establish the evaluation vector; The evaluation vectors corresponding to each evaluation indicator in the indicator set are combined to obtain an evaluation matrix corresponding to the indicator set.

4. The determination method according to claim 1, characterized in that A weight matrix corresponding to each target electricity usage scenario is established, including: According to the formula A=(a ij ) n×n , establish the judgment matrix corresponding to the indicator set, where a ij represents the relative importance between the i-th evaluation indicator and the j-th evaluation indicator in the judgment matrix, and n represents the number of the evaluation indicators in the indicator set; According to the formula B=(b pm ) n×n =lgA, calculate the antisymmetric matrix of the judgment matrix, and according to the formula Calculating the optimal transfer matrix of the antisymmetric matrix, wherein p represents the p-th evaluation index in the antisymmetric matrix, and m represents the m-th evaluation index in the antisymmetric matrix; According to the optimal transfer matrix and formula And the formula The weight matrix W=(ω1,ω2,...,ω n ), where ω i is the i-th element of the weight vector W.

5. The determination method according to claim 4, characterized in that: Establishing a judgment matrix corresponding to the indicator set includes: Obtaining the assignment results of the relative importance between the two evaluation indicators in the indicator set to obtain multiple assignment results; Determine whether the multiple assignment results are the same. If they are the same, generate the assignment results of the evaluation indicators into the judgment matrix. If they are different, obtain multiple assignment results of the relative importance of each expert between the two evaluation indicators in the indicator set again.

6. A device for determining the comprehensive benefits of a power distribution system, characterized in that: include: a construction unit, configured to obtain a plurality of target power usage scenarios of a power distribution system after the system is put into use, establish an indicator set corresponding to each target power usage scenario of the power distribution system, and establish an evaluation matrix corresponding to each target power usage scenario based on the indicator set, wherein the indicator set includes a plurality of evaluation indicators, the evaluation indicators at least including a system operation loss rate indicator, a power failure load recovery ratio indicator, and a node voltage over-limit ratio indicator, the value of the element in the evaluation matrix represents the membership of the evaluation indicator to the comment, the comment represents the quality of the evaluation indicator, the membership represents the degree of membership and the value is between 0 and 1, and the sum of the row vectors of the evaluation matrix is ​​1; A second establishing module is configured to establish a weight matrix corresponding to each target power usage scenario, and calculate the product of the weight matrix and the evaluation matrix to obtain a target evaluation matrix corresponding to each target power usage scenario, wherein the value of the element in the weight matrix represents the relative importance of the evaluation indicator; A third establishment module is configured to divide the target evaluation matrix according to row vectors to obtain multiple target row vectors, compare the values ​​of the membership degrees in the target row vectors, and use the value with the largest membership degree in one of the target row vectors as an element of the target evaluation vector to establish the target evaluation vector, wherein any two target power usage scenarios have at least one of the following differences: the transmission voltage and transmission power of the power distribution system, and each element in the target evaluation vector represents an evaluation value corresponding to one of the evaluation indicators, and the evaluation value is used to characterize the evaluation result of the evaluation indicator; a first execution unit, configured to obtain an initial scenario vector and a transition probability matrix of the power distribution system, obtain initial power scenarios multiple times, use multiple initial power scenarios as elements of the initial scenario vector, construct the initial scenario vector, calculate the product of the initial scenario vector and the transition probability matrix, obtain multiple target power scenarios, count the number of occurrences of each power scenario, calculate the ratio of the number of occurrences of each power scenario to the number of times the initial power scenario is obtained, and obtain a probability vector, wherein the probability vector represents the probability of occurrence of multiple target power scenarios, the elements in the initial scenario vector include the transmission voltage and transmission power of the power distribution system under the initial power scenario, the initial power scenario is the power scenario at the moment the power distribution system is put into use, and the transition probability matrix is ​​used to represent the probability of the power distribution system transferring from the initial power scenario to the multiple target power scenarios; The second execution unit is used to calculate the sum of the products of the probabilities of occurrence of multiple target power usage scenarios in the probability vector and the evaluation values ​​of the corresponding multiple target power usage scenarios in the target evaluation vector to obtain a comprehensive benefit score of the power distribution system, wherein the comprehensive benefit score represents the comprehensive benefit of the power distribution system under multiple target power usage scenarios.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the comprehensive benefit determination method of the power distribution system according to any one of claims 1 to 5.

8. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the comprehensive benefit determination method of the power distribution system according to any one of claims 1 to 5 through the computer program.

9. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for determining the comprehensive benefits of the power distribution system according to any one of claims 1 to 5.

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