Method and device for evaluating safe operation of high-proportion clean energy power distribution network

Abstract

The invention relates to the technical field of power distribution network safe operation control, and particularly provides a high-proportion clean energy power distribution network safe operation evaluation method and device. Comprising the following steps: obtaining a dynamic calculation value of each last-stage evaluation index of a to-be-analyzed power distribution network containing high-proportion clean energy in a pre-constructed high-proportion clean energy power distribution network safe operation evaluation system; and determining a safe operation evaluation value of the high-proportion clean energy power distribution network based on the dynamic calculation value of each final-stage evaluation index and the dynamic weight coefficient of each final-stage evaluation index, wherein the safe operation evaluation value of the high-proportion clean energy power distribution network is a safe operation evaluation result of the high-proportion clean energy power distribution network. According to the technical scheme provided by the invention, the multi-dimensional comprehensive evaluation of the high-proportion clean energy county power distribution network is realized by constructing the high-proportion clean energy power distribution network safe operation evaluation system, and the reasonability and comparability of the result can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of safe operation control of distribution networks, and in particular to a method and device for evaluating safe operation of a high-proportion clean energy distribution network. Background Art

[0002] The ultimate goal of power grid enterprises is to make the power grid safe, reliable, high-quality, efficient, green, low-carbon, and intelligently interactive. However, the realization of this goal is affected by many static and dynamic factors, such as the county grid structure, equipment technology level, operation and maintenance management level, clean energy penetration rate, and its spatial and temporal distribution characteristics.

[0003] Therefore, the design of the typical model of a high-proportion clean energy distribution network should comprehensively consider the impact of the above-mentioned factors on the distribution network and clean energy itself. How to construct a typical model for safe operation and control of a high-proportion clean energy distribution network is a challenge. Summary of the invention

[0004] In order to overcome the above-mentioned defects, the present invention proposes a method and device for evaluating the safe operation of a high-proportion clean energy distribution network.

[0005] In a first aspect, a method for evaluating safe operation of a high-proportion clean energy distribution network is provided, the method comprising:

[0006] Obtaining the dynamic calculation values ​​of each final evaluation index of the distribution network with a high proportion of clean energy to be analyzed in the pre-built high proportion of clean energy distribution network safety operation evaluation system;

[0007] Determine a safe operation evaluation value of a high-proportion clean energy distribution network based on the dynamic calculation value of each final-level evaluation index and the dynamic weight coefficient of each final-level evaluation index, wherein the safe operation evaluation value of a high-proportion clean energy distribution network is a safe operation evaluation result of a high-proportion clean energy distribution network;

[0008] Among them, the dynamic weight coefficients of each final-level evaluation indicator in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system are obtained based on the hierarchical analysis method or the entropy weight method.

[0009] Preferably, the pre-constructed high-proportion clean energy distribution network safety operation assessment system is a secondary status evaluation system, and the primary indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system include: clean energy characteristic indicators, distribution network characteristic indicators, and distribution network carrying clean energy characteristic indicators;

[0010] The clean energy characteristic indicators include: clean energy installed capacity, clean energy installed capacity potential, clean energy output peak-to-valley difference rate, clean energy output volatility, short-term prediction accuracy, and ultra-short-term prediction accuracy;

[0011] The distribution network characteristic indicators include: transformer capacity load ratio, medium voltage line ring network rate, household distribution transformer capacity, distribution automation coverage rate, comprehensive power supply reliability rate, equipment failure power outage rate, medium voltage heavy load line ratio, medium voltage overload line ratio, heavy load distribution transformer ratio, overload distribution transformer ratio, comprehensive voltage qualification rate, terminal voltage unqualified line ratio, low voltage area ratio, unqualified voltage area ratio, three-phase unbalanced area ratio;

[0012] The characteristic indicators of clean energy carried by the distribution network include: clean energy penetration rate of main transformer, clean energy carrying capacity of main transformer, clean energy penetration rate of medium-voltage line, clean energy carrying capacity of medium-voltage line, clean energy penetration rate of distribution transformer, clean energy carrying capacity of distribution transformer, clean energy consumption rate of main transformer, clean energy reverse transmission rate of main transformer, clean energy utilization rate of main transformer, clean energy load matching rate of main transformer, clean energy consumption rate of medium-voltage line, clean energy reverse transmission rate of medium-voltage line, clean energy utilization rate of medium-voltage line, clean energy load matching rate of medium-voltage line, clean energy consumption rate of distribution transformer, clean energy reverse transmission rate of distribution transformer, clean energy utilization rate of distribution transformer, clean energy load matching rate of distribution transformer, proportion of reverse heavy-load main transformer, proportion of reverse overload main transformer, proportion of medium-voltage reverse heavy-load line, proportion of medium-voltage reverse overload line, proportion of reverse heavy-load distribution transformer, proportion of reverse overload distribution transformer, proportion of main transformer with high voltage, proportion of medium-voltage line with high voltage, and proportion of station with high voltage.

[0013] Furthermore, the clean energy installed capacity = the sum of the installed capacities of all clean energy sites connected to the distribution network area;

[0014] The clean energy installed capacity potential = the clean energy installable area of ​​each block in the distribution network area * the clean energy resource endowment corresponding to each block;

[0015] The peak-to-valley difference rate of clean energy output = (maximum clean energy output - minimum clean energy output) / maximum clean energy output;

[0016] The clean energy output fluctuation rate = (clean energy output value at the current moment - clean energy output value at the previous moment) / clean energy installed capacity;

[0017] The short-term prediction accuracy rate = the root mean square value of the difference between the short-term predicted output value and the actual output value of clean energy within one day;

[0018] The ultra-short-term prediction accuracy rate=the root mean square value of the difference between the ultra-short-term predicted output value predicted last within one day and the actual output value of the clean energy.

[0019] Furthermore, the transformer capacity-load ratio = the sum of the main transformer capacities of the substations in the distribution network area / the annual maximum load in the distribution network area;

[0020] The medium voltage line ring network rate = the number of medium voltage lines with ring network lines in the distribution network area / the total number of medium voltage lines in the distribution network area;

[0021] The average distribution transformer capacity per household = the sum of the distribution transformer capacities in the distribution network area / the total number of users in the distribution network area;

[0022] The distribution automation coverage rate = the number of medium-voltage lines with built distribution automation terminals in the distribution network area / the total number of medium-voltage lines in the distribution network area;

[0023] The comprehensive power supply reliability rate = power outage duration in a specified time period in a specified area / duration of a specified time period;

[0024] The equipment failure power outage rate = the number of equipment failures in a specified time period in a specified area / the length of a specified time period;

[0025] wherein the equipment is an overhead line, a cable line or a switchgear;

[0026] The proportion of medium-voltage overloaded lines = the number of medium-voltage lines that are overloaded in a specified area within a specified time period / the number of medium-voltage lines in operation in a specified area within a specified time period;

[0027] The ratio of medium voltage overloaded lines = the number of medium voltage lines that are overloaded in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0028] The overload distribution transformer ratio = the number of distribution transformers that are overloaded in a specified area within a specified time period / the number of distribution transformers in operation in a specified area within a specified time period;

[0029] The overload distribution transformer ratio = the number of distribution transformers that are overloaded within a specified time period in a specified area / the number of distribution transformers that are in operation within a specified time period in a specified area;

[0030] The comprehensive voltage qualification rate = the number of voltage monitoring points with qualified voltage in the specified area within the specified time period / the number of voltage monitoring points in the specified area within the specified time period;

[0031] The proportion of lines with unqualified terminal voltage = the number of lines with unqualified terminal voltage in a specified area within a specified time period / the number of lines running in a specified area within a specified time period;

[0032] The ratio of substations with low voltage = the number of substations with low voltage in a specified area within a specified time period / the number of substations operating in a specified area within a specified time period;

[0033] The proportion of substations with unqualified voltage = the number of substations with unqualified voltage in a specified area within a specified time period / the number of substations operating in a specified area within a specified time period;

[0034] The ratio of three-phase unbalanced substations = the number of substations with unqualified three-phase unbalance rates within a specified time period in a specified area / the number of substations operating within a specified time period in a specified area.

[0035] Furthermore, the main transformer clean energy penetration rate = the connected capacity of distributed clean energy under the main transformer / the annual maximum load of the main transformer;

[0036] The clean energy carrying capacity of the main transformer = the rated capacity of the main transformer + the annual minimum load of the main transformer;

[0037] The clean energy penetration rate of the medium voltage line = the capacity of the distributed clean energy connected to the medium voltage line / the annual maximum load of the medium voltage line;

[0038] The clean energy carrying capacity of the medium voltage line = the rated capacity of the medium voltage line + the annual minimum load of the medium voltage line;

[0039] The distribution transformer clean energy penetration rate = the connected capacity of the distribution transformer distributed clean energy / the annual maximum load of the distribution transformer;

[0040] The clean energy carrying capacity of the distribution transformer = the rated capacity of the distribution transformer + the annual minimum load of the distribution transformer;

[0041] The main transformer clean energy consumption rate = the actual power generation of distributed clean energy in a specified time period of a specified main transformer / the theoretical power generation in a specified time period of a specified main transformer;

[0042] The main transformer clean energy reverse transmission rate = the reverse active power of the designated main transformer / the total output of distributed clean energy under the designated main transformer;

[0043] The main transformer clean energy utilization rate = the distributed clean energy power generation within a specified time period of the specified main transformer / the total power consumption within a specified time period of the specified main transformer.

[0044] The main transformer clean energy load matching rate = the L2 normal distance between the total clean energy output curve under the specified main transformer and the total load curve under the main transformer;

[0045] The clean energy consumption rate of the medium voltage line = the actual power generation of distributed clean energy in a specified time period of the specified medium voltage line / the theoretical power generation in a specified time period of the specified medium voltage line;

[0046] The clean energy reverse transmission rate of the medium voltage line = reverse active power of the designated medium voltage line / total output of distributed clean energy under the designated medium voltage line;

[0047] The clean energy utilization rate of the medium voltage line = the distributed clean energy generation in the specified time period of the specified medium voltage line / the total power consumption in the specified time period of the specified medium voltage line;

[0048] The clean energy load matching rate of the medium voltage line = the L2 normal distance between the total clean energy output curve under the specified medium voltage line and the total load curve under the medium voltage line;

[0049] The clean energy consumption rate of the distribution transformer = the actual power generation of distributed clean energy in a specified time period of the specified distribution transformer / the theoretical power generation in a specified time period of the specified distribution transformer;

[0050] The clean energy reverse transmission rate of the distribution transformer = reverse active power of the designated distribution transformer / total output of distributed clean energy under the designated distribution transformer;

[0051] The distribution transformer clean energy utilization rate = the distributed clean energy power generation within a specified time period of the specified distribution transformer / the total power consumption within a specified time period of the specified distribution transformer.

[0052] The distribution transformer clean energy load matching rate = the L2 normal distance between the total clean energy output curve under the specified distribution transformer and the total load curve under the distribution transformer;

[0053] The reverse overload main transformer ratio = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers operating within a specified time period;

[0054] The reverse overload main transformer ratio = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers that are in operation in a specified area within a specified time period;

[0055] The ratio of medium voltage reverse overload lines = the number of medium voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0056] The ratio of medium voltage reverse overload lines = the number of medium voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0057] The reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation within a specified time period;

[0058] The reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation in a specified area within a specified time period;

[0059] The ratio of main transformers with high voltage = the number of main transformers with high voltage in a specified area within a specified time period / the number of main transformers operating in a specified area within a specified time period;

[0060] The proportion of medium voltage lines with high voltage = the number of medium voltage lines with high voltage in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0061] The proportion of stations with high voltage = the number of stations with high voltage in a specified area within a specified time period / the number of stations operating in a specified area within a specified time period.

[0062] Furthermore, the heavy load means that the load rate exceeds 80% of the rated capacity and lasts for more than 2 hours, the overload means that the load rate exceeds 100% of the rated capacity and lasts for more than 2 hours, and the high voltage means that the voltage exceeds 10% of the rated voltage and lasts for more than 2 hours.

[0063] Preferably, the calculation formula of the dynamic weight coefficient of each final evaluation index in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system is as follows:

[0064]

[0065] In the above formula, β j is the dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, α j is the preset dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, ω j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network obtained by the analytic hierarchy process or the entropy weight method, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network.

[0066] Preferably, the calculation formula of the safe operation evaluation value of the high-proportion clean energy distribution network is as follows:

[0067]

[0068] In the above formula, r i is the safe operation assessment value of the i-th high-proportion clean energy distribution network, p ij is the dynamic calculated value of the jth final evaluation index in the pre-built high-proportion clean energy distribution network safety operation evaluation system for the i-th distribution network with a high proportion of clean energy, β j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks.

[0069] In a second aspect, a device for evaluating safe operation of a high-proportion clean energy distribution network is provided, the device comprising:

[0070] An acquisition module is used to obtain the dynamic calculation values ​​of each final evaluation index of the distribution network with a high proportion of clean energy to be analyzed in the pre-built high proportion of clean energy distribution network safety operation evaluation system;

[0071] An analysis module is used to determine a safe operation evaluation value of a high-proportion clean energy distribution network based on the dynamic calculation value of each final-level evaluation index and the dynamic weight coefficient of each final-level evaluation index, wherein the safe operation evaluation value of the high-proportion clean energy distribution network is a safe operation evaluation result of the high-proportion clean energy distribution network;

[0072] Among them, the dynamic weight coefficients of each final-level evaluation indicator in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system are obtained based on the hierarchical analysis method or the entropy weight method.

[0073] Preferably, the pre-constructed high-proportion clean energy distribution network safety operation assessment system is a secondary status evaluation system, and the primary indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system include: clean energy characteristic indicators, distribution network characteristic indicators, and distribution network carrying clean energy characteristic indicators;

[0074] The clean energy characteristic indicators include: clean energy installed capacity, clean energy installed capacity potential, clean energy output peak-to-valley difference rate, clean energy output volatility, short-term prediction accuracy, and ultra-short-term prediction accuracy;

[0075] The distribution network characteristic indicators include: transformer capacity load ratio, medium voltage line ring network rate, household distribution transformer capacity, distribution automation coverage rate, comprehensive power supply reliability rate, equipment failure power outage rate, medium voltage heavy load line ratio, medium voltage overload line ratio, heavy load distribution transformer ratio, overload distribution transformer ratio, comprehensive voltage qualification rate, terminal voltage unqualified line ratio, low voltage area ratio, unqualified voltage area ratio, three-phase unbalanced area ratio;

[0076] The characteristic indicators of clean energy carried by the distribution network include: clean energy penetration rate of main transformer, clean energy carrying capacity of main transformer, clean energy penetration rate of medium-voltage line, clean energy carrying capacity of medium-voltage line, clean energy penetration rate of distribution transformer, clean energy carrying capacity of distribution transformer, clean energy consumption rate of main transformer, clean energy reverse transmission rate of main transformer, clean energy utilization rate of main transformer, clean energy load matching rate of main transformer, clean energy consumption rate of medium-voltage line, clean energy reverse transmission rate of medium-voltage line, clean energy utilization rate of medium-voltage line, clean energy load matching rate of medium-voltage line, clean energy consumption rate of distribution transformer, clean energy reverse transmission rate of distribution transformer, clean energy utilization rate of distribution transformer, clean energy load matching rate of distribution transformer, proportion of reverse heavy-load main transformer, proportion of reverse overload main transformer, proportion of medium-voltage reverse heavy-load line, proportion of medium-voltage reverse overload line, proportion of reverse heavy-load distribution transformer, proportion of reverse overload distribution transformer, proportion of main transformer with high voltage, proportion of medium-voltage line with high voltage, and proportion of station with high voltage.

[0077] Preferably, in the analysis module, the calculation formula of the dynamic weight coefficient of each final evaluation index in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system is as follows:

[0078]

[0079] In the above formula, β j is the dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, α j is the preset dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, ω j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network obtained by the analytic hierarchy process or the entropy weight method, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network.

[0080] Preferably, the analysis module is specifically used for:

[0081] Calculate the safe operation assessment value of a high-proportion clean energy distribution network as follows:

[0082]

[0083] In the above formula, r i is the safe operation assessment value of the i-th high-proportion clean energy distribution network, p ij is the dynamic calculated value of the jth final evaluation index in the pre-built high-proportion clean energy distribution network safety operation evaluation system for the i-th distribution network with a high proportion of clean energy, β jis the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks.

[0084] In a third aspect, a computer device is provided, comprising: one or more processors;

[0085] The processor is used to store one or more programs;

[0086] When the one or more programs are executed by the one or more processors, the method for evaluating safe operation of a high-proportion clean energy distribution network is implemented.

[0087] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the method for evaluating the safe operation of a high-proportion clean energy distribution network is implemented.

[0088] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0089] The present invention relates to the technical field of safe operation control of distribution networks, and specifically provides a method and device for evaluating the safe operation of a distribution network with a high proportion of clean energy, including: obtaining the index value of each final evaluation index of the distribution network to be analyzed containing a high proportion of clean energy in a pre-constructed safe operation evaluation system for a distribution network with a high proportion of clean energy; determining the safe operation evaluation value of the distribution network with a high proportion of clean energy based on the index value of each final evaluation index and the weight coefficient of each final evaluation index, wherein the safe operation evaluation value of the distribution network with a high proportion of clean energy is the safe operation evaluation result of the distribution network with a high proportion of clean energy; wherein the weight coefficient of each final evaluation index in the pre-constructed safe operation evaluation system for a distribution network with a high proportion of clean energy is obtained based on the analytic hierarchy process or the entropy weight method. The technical solution provided by the present invention realizes a multi-dimensional comprehensive evaluation of a county-level distribution network with a high proportion of clean energy by constructing a safe operation evaluation system for a distribution network with a high proportion of clean energy, and can ensure the rationality and comparability of the results;

[0090] Furthermore, the safe operation evaluation system of the high-proportion clean energy distribution network in the technical solution provided by the present invention includes extraction of safety characteristic indicators, reliability characteristic indicators, quality characteristic indicators, efficiency characteristic indicators and cleanliness characteristic indicators, which can fully reflect the essential attributes or characteristics of the evaluated object. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 This is a flow chart of the main steps of the method for evaluating safe operation of a high-proportion clean energy distribution network according to an embodiment of the present invention;

[0092] Figure 2 It is a main structural block diagram of a device for evaluating safe operation of a high-proportion clean energy distribution network according to an embodiment of the present invention. DETAILED DESCRIPTION

[0093] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0094] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0095] As disclosed in the background technology, the ultimate goal of power grid enterprises is to make the power grid safe, reliable, high-quality, efficient, green, low-carbon, and intelligently interactive. However, the realization of this goal is affected by many static and dynamic factors, such as county grid structure, equipment technology level, operation and maintenance management level, clean energy penetration rate, and its spatial and temporal distribution characteristics.

[0096] Therefore, the design of the typical model of a high-proportion clean energy distribution network should comprehensively consider the impact of the above-mentioned factors on the distribution network and clean energy itself. How to construct a typical model for safe operation and control of a high-proportion clean energy distribution network is a challenge.

[0097] In order to improve the above-mentioned problems, the present invention relates to the technical field of safe operation control of distribution networks, and specifically provides a method and device for evaluating the safe operation of a distribution network with a high proportion of clean energy, including: obtaining the index values ​​of each terminal evaluation index of the distribution network to be analyzed containing a high proportion of clean energy in a pre-constructed safe operation evaluation system for a distribution network with a high proportion of clean energy; determining the safe operation evaluation value of the distribution network with a high proportion of clean energy based on the index values ​​of each terminal evaluation index and the weight coefficients of each terminal evaluation index, wherein the safe operation evaluation value of the distribution network with a high proportion of clean energy is the safe operation evaluation result of the distribution network with a high proportion of clean energy; wherein the weight coefficients of each terminal evaluation index in the pre-constructed safe operation evaluation system for a distribution network with a high proportion of clean energy are obtained based on the analytic hierarchy process or the entropy weight method. The technical solution provided by the present invention realizes a multi-dimensional comprehensive evaluation of county-level distribution networks with a high proportion of clean energy by constructing a safe operation evaluation system for a distribution network with a high proportion of clean energy, and can ensure the rationality and comparability of the results;

[0098] Furthermore, the safe operation evaluation system of the high-proportion clean energy distribution network in the technical solution provided by the present invention includes extraction of safety characteristic indicators, reliability characteristic indicators, quality characteristic indicators, efficiency characteristic indicators and cleanliness characteristic indicators, which can fully reflect the essential attributes or characteristics of the evaluated object.

[0099] The above scheme is described in detail below.

[0100] Example 1

[0101] See attached Figure 1 , Figure 1 1 is a flow chart of the main steps of a method for evaluating safe operation of a high-proportion clean energy distribution network according to an embodiment of the present invention. Figure 1 As shown, the method for evaluating safe operation of a high-proportion clean energy distribution network in an embodiment of the present invention mainly includes the following steps:

[0102] Step S101: obtaining the dynamic calculation values ​​of the final evaluation indicators of the distribution network with a high proportion of clean energy to be analyzed in the pre-built high proportion of clean energy distribution network safety operation evaluation system;

[0103] Step S102: determining a safe operation evaluation value of a high-proportion clean energy distribution network based on the dynamic calculation value of each final-level evaluation index and the dynamic weight coefficient of each final-level evaluation index, wherein the safe operation evaluation value of a high-proportion clean energy distribution network is a safe operation evaluation result of a high-proportion clean energy distribution network;

[0104] Among them, the dynamic weight coefficients of each final-level evaluation indicator in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system are obtained based on the hierarchical analysis method or the entropy weight method.

[0105] In one embodiment, when using the AHP method to analyze a decision problem, the problem must first be carefully analyzed and constructed into a structural hierarchical model. The hierarchy can be divided into three levels:

[0106] 1) The highest level: also known as the target level. This level contains only one element, which is generally directly taken as the target of the problem or the expected ideal result. Considering the optimal economic efficiency of the distribution network reliability as the basis for the selection of the solution is the goal of the hierarchical analysis.

[0107] 2) Middle layer: Also known as the criteria layer. This layer contains all the intermediate processes set to achieve the goals of the highest layer. The middle layer can be one layer or multiple layers, but the number of elements in each layer generally does not exceed 9.

[0108] 3) The bottom layer: also known as the solution layer. This layer includes the given solutions or solutions to achieve the top-level goals.

[0109] When determining the weights of each element at each level, the consistent matrix method converts qualitative rankings into quantitative values ​​to make the scheme selection more convincing, namely: 1) compare them two by two. 2) use relative scales to reduce the problems of comparing elements of different natures and improve data accuracy.

[0110] The pairwise comparison matrix is ​​a weight comparison matrix of all elements in this layer to an element in the previous layer, also known as a judgment matrix. Pairwise comparison method is used for each element of the value chain, taking two factors at a time to compare their impact on the target. Using a scale of 1-9, the element a of the pairwise comparison matrix can be obtained. ij , as shown in Table 1. Construct a pairwise comparison matrix between various activities, that is, calculate the relative weights of the eight activities in the value chain.

[0111] Table 1

[0112]

[0113] In each layer (except the top layer) of the constructed hierarchical analysis structure, the existing indicators are compared pairwise using the proportional scaling method to judge the importance of each indicator and obtain the judgment matrix C;

[0114] The consistency of the matrix is ​​tested by judging the change of the characteristic root of the matrix, which can be written as:

[0115]

[0116]

[0117]

[0118]

[0119]

[0120] Where: m is the total number of evaluation indicators; a ij Represents the elements in the judgment matrix; is the relative weight of the i-th evaluation index under a single criterion; W i is the absolute weight of the i-th evaluation index under a single criterion; max is the maximum eigenvalue of the judgment matrix; (CW) i represents the i-th element of the product of the judgment matrix C and the absolute weight vector W of the evaluation index under a single criterion; CI is the consistency index; RI represents the average random consistency index of the same order, obtained by looking up the table; CR represents the random consistency ratio. If the calculated CR does not meet The constructed judgment matrix C needs to be adjusted until the absolute weight of each final evaluation index under a single criterion is output, that is, the first weight coefficient of each final evaluation index.

[0121] Construct an indicator weight calculation method based on the entropy weight method, which specifically includes:

[0122] Entropy originally comes from the concept of thermodynamics in physics, which mainly reflects the degree of disorder of the system and has been used in research in many fields. The entropy value theory in information theory reflects the uncertainty of information. According to its definition, the smaller the entropy value of an indicator, the smaller its uncertainty and the greater its discrimination. Therefore, the entropy value can be used to evaluate the amount of information. The smaller the entropy value (the greater the discrimination), the greater the effect on decision-making. If the values ​​of an indicator are all equal, the uncertainty of the indicator is the largest, the entropy value is the largest, the discrimination is the smallest, and the effect on the overall evaluation is the smallest. At this time, the weight of the indicator should also be the smallest, which is in line with the value characteristics of the indicator, because the same value means that the evaluation object cannot be distinguished. Therefore, according to the characteristics of entropy, the entropy theory can be used to evaluate the utility of each indicator. The discrimination of an indicator and its contribution to the overall evaluation result can be judged by calculating the entropy value. The smaller the entropy value of the indicator, the greater the weight of the indicator on the comprehensive evaluation. The entropy weight method only relies on the discreteness of the data itself and is an objective weighting method.

[0123] In order to solve the problem of weight setting for comprehensive evaluation of multi-level and multi-dimensional indicators of dispatching operation and dispatching management, the entropy weight method driven by big data of dispatching and dispatching is adopted to calculate the indicator weights, so as to avoid the subjectivity and arbitrariness of subjective weight setting.

[0124] Entropy weight calculation

[0125] In each layer, the specific steps of entropy weight calculation are as follows:

[0126] a) for n evaluation objects, and m lower-level evaluation indicators, let x ij is the score of the jth evaluation indicator of the i-th evaluation object (i=1,2,…,n; j=1,2,…,m);

[0127] b) Normalization of heterogeneous indicators: Since the dimensions and numerical ranges of various evaluation indicators are not uniform, they should be normalized before comprehensive calculation. Considering that the evaluation indicator system includes both positive indicators and negative indicators (the higher the value of positive indicators, the better, and the lower the value of negative indicators, the better), normalization of positive indicators and negative indicators is performed separately, x ij The normalized value x′ ij As shown in the following formula, where i=1,2,…,n; j=1,2,…,m.

[0128]

[0129]

[0130] c) Calculation of the entropy value of each evaluation index. The entropy value calculation formula of the jth evaluation index (j = 1, 2, ..., m) is as follows:

[0131]

[0132] in,

[0133] d) Entropy weight calculation of each evaluation index

[0134] The entropy weight calculation formula of the jth evaluation index (j = 1, 2, ..., m) is as follows:

[0135]

[0136] When the values ​​of all evaluation objects on evaluation index j are exactly the same, the entropy value of the evaluation index reaches the maximum value, but the evaluation index does not provide valuable information to the decision maker, that is, under this evaluation index, all evaluation objects are indifferent to the decision maker. At this time, the entropy weight of the evaluation index should be the minimum and can be set to 0, that is, the evaluation index can be eliminated. Therefore, take d j =1-e j , is the degree of dispersion of the j-th rating indicator. The greater the degree of dispersion, the greater the discrimination and the greater the weight should be.

[0137] In this embodiment, the pre-constructed high-proportion clean energy distribution network safety operation assessment system taking into account the temporal and spatial characteristics is a secondary status evaluation system, and the primary indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system taking into account the temporal and spatial characteristics include the following three categories: clean energy characteristic indicators, distribution network characteristic indicators, and distribution network carrying clean energy characteristic indicators;

[0138] The final-level indicators corresponding to the clean energy characteristic indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system that takes into account the temporal and spatial characteristics include the following static and dynamic characteristic indicators. The static characteristic indicators include: clean energy installed capacity, clean energy installed capacity potential, and the dynamic characteristic indicators include clean energy output peak-to-valley difference rate, clean energy output volatility, short-term prediction accuracy, and ultra-short-term prediction accuracy.

[0139] The terminal indicators corresponding to the characteristic indicators of the distribution network in the pre-constructed high-proportion clean energy distribution network safety operation assessment system taking into account the temporal and spatial characteristics include the following static and dynamic characteristic indicators. The static characteristic indicators include: transformer capacity-load ratio, medium-voltage line ring network rate, average household distribution transformer capacity, and distribution automation coverage rate. The dynamic characteristic indicators include: comprehensive power supply reliability rate, equipment failure power outage rate, medium-voltage heavy-load line ratio, medium-voltage overload line ratio, heavy-load distribution transformer ratio, overload distribution transformer ratio, comprehensive voltage qualification rate, terminal voltage unqualified line ratio, low voltage area ratio, unqualified voltage area ratio, and three-phase unbalanced area ratio.

[0140] The final indicators corresponding to the distribution network clean energy carrying characteristic indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system taking into account the time and space characteristics include the following static and dynamic characteristic indicators. The static characteristic indicators include: main transformer clean energy penetration rate, main transformer clean energy carrying capacity, medium voltage line clean energy penetration rate, medium voltage line clean energy carrying capacity, distribution transformer clean energy penetration rate, distribution transformer clean energy carrying capacity; the dynamic characteristic indicators include: main transformer clean energy consumption rate, main transformer clean energy reverse transmission rate, main transformer clean energy utilization rate, main transformer clean energy carrying capacity. Energy load matching rate, clean energy consumption rate of medium voltage lines, clean energy reverse transmission rate of medium voltage lines, clean energy utilization rate of medium voltage lines, clean energy load matching rate of medium voltage lines, clean energy consumption rate of distribution transformers, clean energy reverse transmission rate of distribution transformers, clean energy utilization rate of distribution transformers, clean energy load matching rate of distribution transformers, proportion of reverse heavy-loaded main transformers, proportion of reverse overloaded main transformers, proportion of medium voltage reverse heavy-loaded lines, proportion of medium voltage reverse overloaded lines, proportion of reverse heavy-loaded distribution transformers, proportion of reverse overloaded distribution transformers, proportion of main transformers with high voltage, proportion of medium voltage lines with high voltage, proportion of high voltage substations.

[0141] In one embodiment, the clean energy installed capacity = the sum of the installed capacities of all clean energy sites connected to the distribution network area.

[0142] Clean energy installed capacity potential = clean energy installation area of ​​each block in the distribution network area * clean energy resource endowment corresponding to each block (in kW / ㎡)

[0143] Clean energy output peak-to-valley difference rate = (maximum clean energy output in a day - minimum clean energy output) / maximum clean energy output

[0144] Clean energy output volatility = (clean energy output value at the current moment - clean energy output value at the previous moment) / clean energy installed capacity

[0145] Short-term prediction accuracy = the root mean square value of the difference between the short-term predicted output value and the actual output value of clean energy within one day

[0146] Among them, the short-term predicted output value and the actual output value of clean energy are both calculated using per-unit values, and the calculation base of the per-unit value is the installed capacity of clean energy.

[0147] Ultra-short-term prediction accuracy = the root mean square value of the difference between the ultra-short-term predicted output value and the actual output value of clean energy in the last forecast within a day

[0148] Among them, the ultra-short-term predicted output value and the actual output value of clean energy are both calculated using per-unit values, and the calculation base of the per-unit value is the installed capacity of clean energy.

[0149] In one embodiment, the transformer capacity load ratio = the sum of the main transformer capacities of the substations in the distribution network area / the annual maximum load in the distribution network area

[0150] Medium voltage line ring network rate = the number of medium voltage lines with ring network lines in the distribution network area / the total number of medium voltage lines in the distribution network area

[0151] Average distribution transformer capacity per household = the sum of the capacity of distribution transformers in the distribution network area / the total number of users in the distribution network area

[0152] Distribution automation coverage rate = the number of medium-voltage lines with distribution automation terminals built in the distribution network area / the total number of medium-voltage lines in the distribution network area

[0153] Comprehensive power supply reliability rate = duration of power outage in a specified time period in a specified area / duration of a specified time period;

[0154] Equipment failure power outage rate = number of equipment failures in a specified time period in a specified area / length of the specified time period in that time period;

[0155] Wherein, the equipment is an overhead line, a cable line or a switchgear.

[0156] The proportion of medium-voltage overloaded lines = the number of medium-voltage lines that are overloaded in a specified area within a specified time period / the number of medium-voltage lines in operation in a specified area within a specified time period;

[0157] The proportion of medium voltage overloaded lines = the number of medium voltage lines that are overloaded in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0158] Overload distribution transformer ratio = number of distribution transformers that are overloaded in a specified area within a specified time period / number of distribution transformers in operation in a specified area within a specified time period;

[0159] Overload distribution transformer ratio = number of distribution transformers that are overloaded in a specified area within a specified time period / number of distribution transformers in operation in a specified area within a specified time period;

[0160] Comprehensive voltage qualification rate = number of voltage monitoring points with qualified voltage in a specified area within a specified time period / number of voltage monitoring points in a specified area within a specified time period;

[0161] Proportion of lines with unqualified terminal voltage = number of lines with unqualified terminal voltage in a specified area within a specified time period / number of lines in operation in a specified area within a specified time period;

[0162] The proportion of substations with low voltage = the number of substations with low voltage in a specified area within a specified time period / the number of substations in operation in a specified area within a specified time period;

[0163] The proportion of substations with unqualified voltage = the number of substations with unqualified voltage in the specified area within the specified time period / the number of substations in operation in the specified area within the specified time period;

[0164] The proportion of three-phase unbalanced substations = the number of substations with unqualified three-phase unbalance rate within a specified time period in a specified area / the number of substations in operation within a specified time period in a specified area.

[0165] In one embodiment, the main transformer clean energy penetration rate = the connected capacity of distributed clean energy under the main transformer / the annual maximum load of the main transformer;

[0166] Main transformer clean energy carrying capacity = main transformer rated capacity + annual minimum load of the main transformer

[0167] Clean energy penetration rate of medium voltage lines = the capacity of distributed clean energy connected to the medium voltage line / the annual maximum load of the medium voltage line

[0168] Clean energy carrying capacity of medium voltage line = rated capacity of the medium voltage line + annual minimum load of the medium voltage line

[0169] Clean energy penetration rate of distribution transformer = the capacity of distributed clean energy connected to the distribution transformer / the annual maximum load of the distribution transformer

[0170] Clean energy carrying capacity of distribution transformer = rated capacity of the distribution transformer + annual minimum load of the distribution transformer

[0171] Clean energy consumption rate of main transformer = actual power generation of distributed clean energy in a specified time period of a specified main transformer / theoretical power generation in a specified time period of a specified main transformer

[0172] Main transformer clean energy reverse transmission rate = designated main transformer reverse active power / designated main transformer distributed clean energy total output

[0173] Main transformer clean energy utilization rate = distributed clean energy generation within a specified time period of a specified main transformer / total power consumption within a specified time period of a specified main transformer.

[0174] Main transformer clean energy load matching rate = L2 normal distance between the total clean energy output curve under the specified main transformer and the total load curve under the main transformer

[0175] Among them, the total output and total load of clean energy are calculated using per-unit values, and the base of the per-unit value is the annual maximum load of the main transformer.

[0176] Clean energy consumption rate of medium voltage line = actual power generation of distributed clean energy in a specified time period of a specified medium voltage line / theoretical power generation in a specified time period of a specified medium voltage line

[0177] Clean energy reverse transmission rate of medium voltage line = reverse active power of designated medium voltage line / total output of distributed clean energy under designated medium voltage line

[0178] Clean energy utilization rate of medium voltage lines = distributed clean energy generation within a specified time period of a specified medium voltage line / total electricity consumption within a specified time period of a specified medium voltage line.

[0179] Clean energy load matching rate of medium voltage line = L2 normal distance between the total clean energy output curve under the specified medium voltage line and the total load curve under the medium voltage line

[0180] Among them, the total output and total load of clean energy are calculated using per-unit values, and the base of the per-unit value is the annual maximum load of the medium-voltage line.

[0181] Clean energy consumption rate of distribution transformer = actual power generation of distributed clean energy in a specified time period of a specified distribution transformer / theoretical power generation in a specified time period of a specified distribution transformer

[0182] Clean energy reverse transmission rate of distribution transformer = reverse active power of designated distribution transformer / total output of distributed clean energy under designated distribution transformer

[0183] Distribution transformer clean energy utilization rate = distributed clean energy generation within a specified time period of a specified distribution transformer / total electricity consumption within a specified time period of a specified distribution transformer.

[0184] Distribution transformer clean energy load matching rate = L2 normal distance between the total clean energy output curve under the specified distribution transformer and the total load curve under the distribution transformer

[0185] Among them, the total output and total load of clean energy are calculated using per-unit values, and the base of the per-unit value is the annual maximum load of the distribution transformer.

[0186] Reverse overload main transformer ratio = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers operating within a specified time period;

[0187] The proportion of reverse overload main transformers = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers that are in operation in a specified area within a specified time period;

[0188] The proportion of medium-voltage reverse overload lines = the number of medium-voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium-voltage lines in operation in a specified area within a specified time period;

[0189] The proportion of medium voltage reverse overload lines = the number of medium voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0190] Reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation within a specified time period;

[0191] Reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation in a specified area within a specified time period;

[0192] The proportion of main transformers with high voltage = the number of main transformers with high voltage in a specified area within a specified time period / the number of main transformers in operation in a specified area within a specified time period;

[0193] The proportion of medium voltage lines with high voltage = the number of medium voltage lines with high voltage in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0194] The proportion of power stations with high voltage = the number of power stations with high voltage in the specified area within the specified time period / the number of power stations in operation in the specified area within the specified time period;

[0195] The designated area may be the entire city, district, county, power supply station, substation, line, or substation. The designated time period may be year, season, month, week, or day. In practical applications, considering the division of power supply areas of different levels of distribution network A+ / A / B / C / D and their differences in the absorption capacity of distributed clean energy, sub-indicators may be established for power supply areas of different levels to evaluate their absorption capacity, and then the absorption capacity of the entire city / district / county may be comprehensively evaluated.

[0196] In this embodiment, the calculation formula of the dynamic weight coefficient of each final evaluation index in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system is as follows:

[0197]

[0198] In the above formula, β j is the dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, α j is the preset dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, ω jis the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network obtained by the analytic hierarchy process or the entropy weight method, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network.

[0199] In this embodiment, the calculation formula of the safe operation evaluation value of the high-proportion clean energy distribution network is as follows:

[0200]

[0201] In the above formula, r i is the safe operation assessment value of the i-th high-proportion clean energy distribution network, p ij is the dynamic calculated value of the jth final evaluation index in the pre-built high-proportion clean energy distribution network safety operation evaluation system for the i-th network with a high proportion of clean energy, β j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks.

[0202] Example 2

[0203] Based on the same inventive concept, the present invention also provides a device for evaluating safe operation of a high-proportion clean energy distribution network, such as Figure 2 As shown, the high-proportion clean energy distribution network safe operation assessment device includes:

[0204] An acquisition module, used to obtain the dynamic calculation values ​​of each final evaluation index of the distribution network with a high proportion of clean energy to be analyzed in a pre-built high proportion of clean energy distribution network safety operation evaluation system;

[0205] An analysis module is used to determine a safe operation evaluation value of a high-proportion clean energy distribution network based on the dynamic calculation value of each final-level evaluation index and the dynamic weight coefficient of each final-level evaluation index, wherein the safe operation evaluation value of the high-proportion clean energy distribution network is a safe operation evaluation result of the high-proportion clean energy distribution network;

[0206] Among them, the dynamic weight coefficients of each final-level evaluation indicator in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system are obtained based on the hierarchical analysis method or the entropy weight method.

[0207] Preferably, the pre-constructed high-proportion clean energy distribution network safety operation assessment system is a secondary status evaluation system, and the primary indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system include: clean energy characteristic indicators, distribution network characteristic indicators, and distribution network carrying clean energy characteristic indicators;

[0208] The clean energy characteristic indicators include: clean energy installed capacity, clean energy installed capacity potential, clean energy output peak-to-valley difference rate, clean energy output volatility, short-term prediction accuracy, and ultra-short-term prediction accuracy;

[0209] The distribution network characteristic indicators include: transformer capacity load ratio, medium voltage line ring network rate, household distribution transformer capacity, distribution automation coverage rate, comprehensive power supply reliability rate, equipment failure power outage rate, medium voltage heavy load line ratio, medium voltage overload line ratio, heavy load distribution transformer ratio, overload distribution transformer ratio, comprehensive voltage qualification rate, terminal voltage unqualified line ratio, low voltage area ratio, unqualified voltage area ratio, three-phase unbalanced area ratio;

[0210] The characteristic indicators of clean energy carried by the distribution network include: clean energy penetration rate of main transformer, clean energy carrying capacity of main transformer, clean energy penetration rate of medium-voltage line, clean energy carrying capacity of medium-voltage line, clean energy penetration rate of distribution transformer, clean energy carrying capacity of distribution transformer, clean energy consumption rate of main transformer, clean energy reverse transmission rate of main transformer, clean energy utilization rate of main transformer, clean energy load matching rate of main transformer, clean energy consumption rate of medium-voltage line, clean energy reverse transmission rate of medium-voltage line, clean energy utilization rate of medium-voltage line, clean energy load matching rate of medium-voltage line, clean energy consumption rate of distribution transformer, clean energy reverse transmission rate of distribution transformer, clean energy utilization rate of distribution transformer, clean energy load matching rate of distribution transformer, proportion of reverse heavy-load main transformer, proportion of reverse overload main transformer, proportion of medium-voltage reverse heavy-load line, proportion of medium-voltage reverse overload line, proportion of reverse heavy-load distribution transformer, proportion of reverse overload distribution transformer, proportion of main transformer with high voltage, proportion of medium-voltage line with high voltage, and proportion of station with high voltage.

[0211] Furthermore, the clean energy installed capacity = the sum of the installed capacities of all clean energy sites connected to the distribution network area;

[0212] The clean energy installed capacity potential = the clean energy installable area of ​​each block in the distribution network area * the clean energy resource endowment corresponding to each block;

[0213] The peak-to-valley difference rate of clean energy output = (maximum clean energy output - minimum clean energy output) / maximum clean energy output;

[0214] The clean energy output fluctuation rate = (clean energy output value at the current moment - clean energy output value at the previous moment) / clean energy installed capacity;

[0215] The short-term prediction accuracy rate = the root mean square value of the difference between the short-term predicted output value and the actual output value of clean energy within one day;

[0216] The ultra-short-term prediction accuracy rate=the root mean square value of the difference between the ultra-short-term predicted output value predicted last within one day and the actual output value of the clean energy.

[0217] Furthermore, the transformer capacity-load ratio = the sum of the main transformer capacities of the substations in the distribution network area / the annual maximum load in the distribution network area;

[0218] The medium voltage line ring network rate = the number of medium voltage lines with ring network lines in the distribution network area / the total number of medium voltage lines in the distribution network area;

[0219] The average distribution transformer capacity per household = the sum of the distribution transformer capacities in the distribution network area / the total number of users in the distribution network area;

[0220] The distribution automation coverage rate = the number of medium-voltage lines with built distribution automation terminals in the distribution network area / the total number of medium-voltage lines in the distribution network area;

[0221] The comprehensive power supply reliability rate = power outage duration in a specified time period in a specified area / duration of a specified time period;

[0222] The equipment failure power outage rate = the number of equipment failures in a specified time period in a specified area / the length of a specified time period;

[0223] wherein the equipment is an overhead line, a cable line or a switchgear;

[0224] The proportion of medium-voltage overloaded lines = the number of medium-voltage lines that are overloaded in a specified area within a specified time period / the number of medium-voltage lines in operation in a specified area within a specified time period;

[0225] The ratio of medium voltage overloaded lines = the number of medium voltage lines that are overloaded in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0226] The overload distribution transformer ratio = the number of distribution transformers that are overloaded in a specified area within a specified time period / the number of distribution transformers in operation in a specified area within a specified time period;

[0227] The overload distribution transformer ratio = the number of distribution transformers that are overloaded within a specified time period in a specified area / the number of distribution transformers that are in operation within a specified time period in a specified area;

[0228] The comprehensive voltage qualification rate = the number of voltage monitoring points with qualified voltage in the specified area within the specified time period / the number of voltage monitoring points in the specified area within the specified time period;

[0229] The proportion of lines with unqualified terminal voltage = the number of lines with unqualified terminal voltage in a specified area within a specified time period / the number of lines running in a specified area within a specified time period;

[0230] The ratio of substations with low voltage = the number of substations with low voltage in a specified area within a specified time period / the number of substations operating in a specified area within a specified time period;

[0231] The proportion of substations with unqualified voltage = the number of substations with unqualified voltage in a specified area within a specified time period / the number of substations operating in a specified area within a specified time period;

[0232] The ratio of three-phase unbalanced substations = the number of substations with unqualified three-phase unbalance rates within a specified time period in a specified area / the number of substations operating within a specified time period in a specified area.

[0233] Furthermore, the main transformer clean energy penetration rate = the connected capacity of distributed clean energy under the main transformer / the annual maximum load of the main transformer;

[0234] The clean energy carrying capacity of the main transformer = the rated capacity of the main transformer + the annual minimum load of the main transformer;

[0235] The clean energy penetration rate of the medium voltage line = the capacity of the distributed clean energy connected to the medium voltage line / the annual maximum load of the medium voltage line;

[0236] The clean energy carrying capacity of the medium voltage line = the rated capacity of the medium voltage line + the annual minimum load of the medium voltage line;

[0237] The distribution transformer clean energy penetration rate = the connected capacity of the distribution transformer distributed clean energy / the annual maximum load of the distribution transformer;

[0238] The clean energy carrying capacity of the distribution transformer = the rated capacity of the distribution transformer + the annual minimum load of the distribution transformer;

[0239] The main transformer clean energy consumption rate = the actual power generation of distributed clean energy in a specified time period of a specified main transformer / the theoretical power generation in a specified time period of a specified main transformer;

[0240] The main transformer clean energy reverse transmission rate = the reverse active power of the designated main transformer / the total output of distributed clean energy under the designated main transformer;

[0241] The main transformer clean energy utilization rate = the distributed clean energy power generation within a specified time period of the specified main transformer / the total power consumption within a specified time period of the specified main transformer.

[0242] The main transformer clean energy load matching rate = the L2 normal distance between the total clean energy output curve under the specified main transformer and the total load curve under the main transformer;

[0243] The clean energy consumption rate of the medium voltage line = the actual power generation of distributed clean energy in a specified time period of the specified medium voltage line / the theoretical power generation in a specified time period of the specified medium voltage line;

[0244] The clean energy reverse transmission rate of the medium voltage line = reverse active power of the designated medium voltage line / total output of distributed clean energy under the designated medium voltage line;

[0245] The clean energy utilization rate of the medium voltage line = the distributed clean energy generation in the specified time period of the specified medium voltage line / the total power consumption in the specified time period of the specified medium voltage line;

[0246] The clean energy load matching rate of the medium voltage line = the L2 normal distance between the total clean energy output curve under the specified medium voltage line and the total load curve under the medium voltage line;

[0247] The clean energy consumption rate of the distribution transformer = the actual power generation of distributed clean energy in a specified time period of the specified distribution transformer / the theoretical power generation in a specified time period of the specified distribution transformer;

[0248] The clean energy reverse transmission rate of the distribution transformer = reverse active power of the designated distribution transformer / total output of distributed clean energy under the designated distribution transformer;

[0249] The distribution transformer clean energy utilization rate = the distributed clean energy power generation within a specified time period of the specified distribution transformer / the total power consumption within a specified time period of the specified distribution transformer.

[0250] The distribution transformer clean energy load matching rate = the L2 normal distance between the total clean energy output curve under the specified distribution transformer and the total load curve under the distribution transformer;

[0251] The reverse overload main transformer ratio = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers operating within a specified time period;

[0252] The reverse overload main transformer ratio = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers that are in operation in a specified area within a specified time period;

[0253] The ratio of medium voltage reverse overload lines = the number of medium voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0254] The ratio of medium voltage reverse overload lines = the number of medium voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0255] The reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation within a specified time period;

[0256] The reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation in a specified area within a specified time period;

[0257] The ratio of main transformers with high voltage = the number of main transformers with high voltage in a specified area within a specified time period / the number of main transformers operating in a specified area within a specified time period;

[0258] The proportion of medium voltage lines with high voltage = the number of medium voltage lines with high voltage in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period;

[0259] The proportion of stations with high voltage = the number of stations with high voltage in a specified area within a specified time period / the number of stations operating in a specified area within a specified time period.

[0260] Furthermore, the heavy load means that the load rate exceeds 80% of the rated capacity and lasts for more than 2 hours, the overload means that the load rate exceeds 100% of the rated capacity and lasts for more than 2 hours, and the high voltage means that the voltage exceeds 10% of the rated voltage and lasts for more than 2 hours.

[0261] Preferably, the calculation formula of the dynamic weight coefficient of each final evaluation index in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system is as follows:

[0262]

[0263] In the above formula, β j is the dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, α j is the preset dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, ω j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network obtained by the analytic hierarchy process or the entropy weight method, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network.

[0264] Preferably, the calculation formula of the safe operation evaluation value of the high-proportion clean energy distribution network is as follows:

[0265]

[0266] In the above formula, r i is the safe operation assessment value of the i-th high-proportion clean energy distribution network, p ij is the dynamic calculated value of the jth final evaluation index in the pre-built high-proportion clean energy distribution network safety operation evaluation system for the i-th network with a high proportion of clean energy, β j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks.

[0267] Example 3

[0268] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a method for evaluating the safe operation of a high-proportion clean energy distribution network in the above embodiment.

[0269] Example 4

[0270] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a method for evaluating the safe operation of a high-proportion clean energy distribution network in the above embodiment.

[0271] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0272] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to 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 processes in the flowchart and / or block diagram. 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.

[0273] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0274] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions 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.

[0275] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating safe operation of a high-proportion clean energy distribution network, characterized in that: The method comprises: Obtain the dynamic calculation values ​​of each final evaluation index of the distribution network with a high proportion of clean energy to be analyzed in the pre-built high proportion of clean energy distribution network safety operation evaluation system; Determine a safe operation evaluation value of a high-proportion clean energy distribution network based on the dynamic calculation value of each final-level evaluation index and the dynamic weight coefficient of each final-level evaluation index, wherein the safe operation evaluation value of a high-proportion clean energy distribution network is a safe operation evaluation result of a high-proportion clean energy distribution network; Among them, the dynamic weight coefficients of each final-level evaluation indicator in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system are obtained based on the hierarchical analysis method or the entropy weight method.

2. The method according to claim 1, characterized in that The pre-constructed high-proportion clean energy distribution network safety operation assessment system is a secondary status evaluation system, and the primary indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system include: clean energy characteristic indicators, distribution network characteristic indicators, and distribution network carrying clean energy characteristic indicators; The clean energy characteristic indicators include: clean energy installed capacity, clean energy installed capacity potential, clean energy output peak-to-valley difference rate, clean energy output volatility, short-term prediction accuracy, and ultra-short-term prediction accuracy; The distribution network characteristic indicators include: transformer capacity load ratio, medium voltage line ring network rate, household distribution transformer capacity, distribution automation coverage rate, comprehensive power supply reliability rate, equipment failure power outage rate, medium voltage heavy load line ratio, medium voltage overload line ratio, heavy load distribution transformer ratio, overload distribution transformer ratio, comprehensive voltage qualification rate, terminal voltage unqualified line ratio, low voltage area ratio, unqualified voltage area ratio, three-phase unbalanced area ratio; The characteristic indicators of clean energy carried by the distribution network include: clean energy penetration rate of main transformer, clean energy carrying capacity of main transformer, clean energy penetration rate of medium-voltage line, clean energy carrying capacity of medium-voltage line, clean energy penetration rate of distribution transformer, clean energy carrying capacity of distribution transformer, clean energy consumption rate of main transformer, clean energy reverse transmission rate of main transformer, clean energy utilization rate of main transformer, clean energy load matching rate of main transformer, clean energy consumption rate of medium-voltage line, clean energy reverse transmission rate of medium-voltage line, clean energy utilization rate of medium-voltage line, clean energy load matching rate of medium-voltage line, clean energy consumption rate of distribution transformer, clean energy reverse transmission rate of distribution transformer, clean energy utilization rate of distribution transformer, clean energy load matching rate of distribution transformer, proportion of reverse heavy-load main transformer, proportion of reverse overload main transformer, proportion of medium-voltage reverse heavy-load line, proportion of medium-voltage reverse overload line, proportion of reverse heavy-load distribution transformer, proportion of reverse overload distribution transformer, proportion of main transformer with high voltage, proportion of medium-voltage line with high voltage, and proportion of station with high voltage.

3. The method according to claim 2, characterized in that The clean energy installed capacity = the sum of the installed capacities of all clean energy sites connected to the distribution network area; The clean energy installed capacity potential = the clean energy installable area of ​​each block in the distribution network area * the clean energy resource endowment corresponding to each block; The peak-to-valley difference rate of clean energy output = (maximum clean energy output - minimum clean energy output) / maximum clean energy output; The clean energy output fluctuation rate = (clean energy output value at the current moment - clean energy output value at the previous moment) / clean energy installed capacity; The short-term prediction accuracy rate = the root mean square value of the difference between the short-term predicted output value and the actual output value of clean energy within one day; The ultra-short-term prediction accuracy rate=the root mean square value of the difference between the ultra-short-term predicted output value predicted last within one day and the actual output value of the clean energy.

4. The method according to claim 2, characterized in that The transformer capacity-load ratio = the sum of the main transformer capacities of the substations in the distribution network area / the annual maximum load in the distribution network area; The medium voltage line ring network rate = the number of medium voltage lines with ring network lines in the distribution network area / the total number of medium voltage lines in the distribution network area; The average distribution transformer capacity per household = the sum of the distribution transformer capacities in the distribution network area / the total number of users in the distribution network area; The distribution automation coverage rate = the number of medium-voltage lines with built distribution automation terminals in the distribution network area / the total number of medium-voltage lines in the distribution network area; The comprehensive power supply reliability rate = power outage duration in a specified time period in a specified area / duration of a specified time period; The equipment failure power outage rate = the number of equipment failures in a specified time period in a specified area / the length of a specified time period; wherein the equipment is an overhead line, a cable line or a switchgear; The proportion of medium-voltage overloaded lines = the number of medium-voltage lines that are overloaded in a specified area within a specified time period / the number of medium-voltage lines in operation in a specified area within a specified time period; The ratio of medium voltage overloaded lines = the number of medium voltage lines that are overloaded in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period; The overload distribution transformer ratio = the number of distribution transformers that are overloaded in a specified area within a specified time period / the number of distribution transformers in operation in a specified area within a specified time period; The overload distribution transformer ratio = the number of distribution transformers that are overloaded within a specified time period in a specified area / the number of distribution transformers that are in operation within a specified time period in a specified area; The comprehensive voltage qualification rate = the number of voltage monitoring points with qualified voltage in the specified area within the specified time period / the number of voltage monitoring points in the specified area within the specified time period; The proportion of lines with unqualified terminal voltage = the number of lines with unqualified terminal voltage in a specified area within a specified time period / the number of lines running in a specified area within a specified time period; The ratio of substations with low voltage = the number of substations with low voltage in a specified area within a specified time period / the number of substations operating in a specified area within a specified time period; The proportion of substations with unqualified voltage = the number of substations with unqualified voltage in a specified area within a specified time period / the number of substations operating in a specified area within a specified time period; The ratio of three-phase unbalanced substations = the number of substations with unqualified three-phase unbalance rates within a specified time period in a specified area / the number of substations operating within a specified time period in a specified area.

5. The method according to claim 2, characterized in that The main transformer clean energy penetration rate = the connected capacity of distributed clean energy under the main transformer / the annual maximum load of the main transformer; The clean energy carrying capacity of the main transformer = the rated capacity of the main transformer + the annual minimum load of the main transformer; The clean energy penetration rate of the medium voltage line = the capacity of the distributed clean energy connected to the medium voltage line / the annual maximum load of the medium voltage line; The clean energy carrying capacity of the medium voltage line = the rated capacity of the medium voltage line + the annual minimum load of the medium voltage line; The distribution transformer clean energy penetration rate = the connected capacity of the distribution transformer distributed clean energy / the annual maximum load of the distribution transformer; The clean energy carrying capacity of the distribution transformer = the rated capacity of the distribution transformer + the annual minimum load of the distribution transformer; The main transformer clean energy consumption rate = the actual power generation of distributed clean energy in a specified time period of a specified main transformer / the theoretical power generation in a specified time period of a specified main transformer; The main transformer clean energy reverse transmission rate = the reverse active power of the designated main transformer / the total output of distributed clean energy under the designated main transformer; The main transformer clean energy utilization rate = the distributed clean energy generation within the specified time period of the specified main transformer / the total power consumption within the specified time period of the specified main transformer; The main transformer clean energy load matching rate = the L2 normal distance between the total clean energy output curve under the specified main transformer and the total load curve under the main transformer; The clean energy consumption rate of the medium voltage line = the actual power generation of distributed clean energy in a specified time period of the specified medium voltage line / the theoretical power generation in a specified time period of the specified medium voltage line; The clean energy reverse transmission rate of the medium voltage line = reverse active power of the designated medium voltage line / total output of distributed clean energy under the designated medium voltage line; The clean energy utilization rate of the medium voltage line = the distributed clean energy generation in the specified time period of the specified medium voltage line / the total power consumption in the specified time period of the specified medium voltage line; The clean energy load matching rate of the medium voltage line = the L2 normal distance between the total clean energy output curve under the specified medium voltage line and the total load curve under the medium voltage line; The clean energy consumption rate of the distribution transformer = the actual power generation of distributed clean energy in a specified time period of the specified distribution transformer / the theoretical power generation in a specified time period of the specified distribution transformer; The clean energy reverse transmission rate of the distribution transformer = reverse active power of the designated distribution transformer / total output of distributed clean energy under the designated distribution transformer; The clean energy utilization rate of the distribution transformer = the distributed clean energy generation in the specified time period of the specified distribution transformer / the total power consumption in the specified time period of the specified distribution transformer; The distribution transformer clean energy load matching rate = the L2 normal distance between the total clean energy output curve under the specified distribution transformer and the total load curve under the distribution transformer; The reverse overload main transformer ratio = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers operating within a specified time period; The reverse overload main transformer ratio = the number of main transformers that have experienced reverse overload in a specified area within a specified time period / the number of main transformers that are in operation in a specified area within a specified time period; The ratio of medium voltage reverse overload lines = the number of medium voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period; The ratio of medium voltage reverse overload lines = the number of medium voltage lines that have experienced reverse overload in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period; The reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation within a specified time period; The reverse overload distribution transformer ratio = the number of distribution transformers that have experienced reverse overload in a specified area within a specified time period / the number of distribution transformers in operation in a specified area within a specified time period; The ratio of main transformers with high voltage = the number of main transformers with high voltage in a specified area within a specified time period / the number of main transformers operating in a specified area within a specified time period; The proportion of medium voltage lines with high voltage = the number of medium voltage lines with high voltage in a specified area within a specified time period / the number of medium voltage lines in operation in a specified area within a specified time period; The proportion of stations with high voltage = the number of stations with high voltage in a specified area within a specified time period / the number of stations operating in a specified area within a specified time period.

6. The method according to claim 5, characterized in that The heavy load means that the load rate exceeds 80% of the rated capacity and lasts for more than 2 hours, the overload means that the load rate exceeds 100% of the rated capacity and lasts for more than 2 hours, and the high voltage means that the voltage exceeds 10% of the rated voltage and lasts for more than 2 hours.

7. The method according to claim 1, characterized in that The calculation formula of the dynamic weight coefficient of each final evaluation index in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system is as follows: In the above formula, β j is the dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, α j is the preset dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, ω j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network obtained by the analytic hierarchy process or the entropy weight method, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network.

8. The method according to claim 1, characterized in that The calculation formula for the safe operation assessment value of the high-proportion clean energy distribution network is as follows: In the above formula, r i is the safe operation assessment value of the i-th high-proportion clean energy distribution network, p ij is the dynamic calculated value of the jth final evaluation index in the pre-built high-proportion clean energy distribution network safety operation evaluation system for the i-th distribution network with a high proportion of clean energy, β j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks.

9. A device for evaluating safe operation of a high-proportion clean energy distribution network, characterized in that: The device comprises: An acquisition module is used to obtain the dynamic calculation values ​​of each final evaluation index of the distribution network with a high proportion of clean energy to be analyzed in the pre-built high proportion of clean energy distribution network safety operation evaluation system; An analysis module is used to determine a safe operation evaluation value of a high-proportion clean energy distribution network based on the dynamic calculation value of each final-level evaluation index and the dynamic weight coefficient of each final-level evaluation index, wherein the safe operation evaluation value of the high-proportion clean energy distribution network is a safe operation evaluation result of the high-proportion clean energy distribution network; Among them, the dynamic weight coefficients of each final-level evaluation indicator in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system are obtained based on the hierarchical analysis method or the entropy weight method.

10. The device according to claim 9, characterized in that The pre-constructed high-proportion clean energy distribution network safety operation assessment system is a secondary status evaluation system, and the primary indicators in the pre-constructed high-proportion clean energy distribution network safety operation assessment system include: clean energy characteristic indicators, distribution network characteristic indicators, and distribution network carrying clean energy characteristic indicators; The clean energy characteristic indicators include: clean energy installed capacity, clean energy installed capacity potential, clean energy output peak-to-valley difference rate, clean energy output volatility, short-term prediction accuracy, and ultra-short-term prediction accuracy; The distribution network characteristic indicators include: transformer capacity load ratio, medium voltage line ring network rate, household distribution transformer capacity, distribution automation coverage rate, comprehensive power supply reliability rate, equipment failure power outage rate, medium voltage heavy load line ratio, medium voltage overload line ratio, heavy load distribution transformer ratio, overload distribution transformer ratio, comprehensive voltage qualification rate, terminal voltage unqualified line ratio, low voltage area ratio, unqualified voltage area ratio, three-phase unbalanced area ratio; The characteristic indicators of clean energy carried by the distribution network include: clean energy penetration rate of main transformer, clean energy carrying capacity of main transformer, clean energy penetration rate of medium-voltage line, clean energy carrying capacity of medium-voltage line, clean energy penetration rate of distribution transformer, clean energy carrying capacity of distribution transformer, clean energy consumption rate of main transformer, clean energy reverse transmission rate of main transformer, clean energy utilization rate of main transformer, clean energy load matching rate of main transformer, clean energy consumption rate of medium-voltage line, clean energy reverse transmission rate of medium-voltage line, clean energy utilization rate of medium-voltage line, clean energy load matching rate of medium-voltage line, clean energy consumption rate of distribution transformer, clean energy reverse transmission rate of distribution transformer, clean energy utilization rate of distribution transformer, clean energy load matching rate of distribution transformer, proportion of reverse heavy-load main transformer, proportion of reverse overload main transformer, proportion of medium-voltage reverse heavy-load line, proportion of medium-voltage reverse overload line, proportion of reverse heavy-load distribution transformer, proportion of reverse overload distribution transformer, proportion of main transformer with high voltage, proportion of medium-voltage line with high voltage, and proportion of station with high voltage.

11. The device according to claim 9, characterized in that In the analysis module, the calculation formula of the dynamic weight coefficient of each final evaluation index in the pre-constructed high-proportion clean energy distribution network safe operation evaluation system is as follows: In the above formula, β j is the dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, α j is the preset dynamic weight coefficient of the jth final evaluation index in the pre-constructed high-proportion clean energy distribution network safety operation evaluation system, ω j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network obtained by the analytic hierarchy process or the entropy weight method, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution network.

12. The device according to claim 9, characterized in that The analysis module is specifically used for: Calculate the safe operation assessment value of a high-proportion clean energy distribution network as follows: In the above formula, r i is the safe operation assessment value of the i-th high-proportion clean energy distribution network, p ij is the dynamic calculated value of the jth final evaluation index in the pre-built high-proportion clean energy distribution network safety operation evaluation system for the i-th distribution network with a high proportion of clean energy, β j is the dynamic weight coefficient of the jth final evaluation indicator in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks, and m is the total number of final evaluation indicators in the pre-constructed safe operation evaluation system for a high proportion of clean energy distribution networks.

13. A computer device, characterized in that: include: one or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the method for evaluating safe operation of a high-proportion clean energy distribution network as described in any one of claims 1 to 8 is implemented.

14. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method for evaluating safe operation of a high-proportion clean energy distribution network as described in any one of claims 1 to 8 is implemented.

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