A comprehensive evaluation method for the benefit of non-stop operation of medium and low voltage distribution network

Abstract

The application discloses a kind of middle-low voltage distribution network not power operation benefit comprehensive evaluation method, comprising the following steps: classifying not power operation;Obtain the data of each actual not power operation, determine its belonging small class;Statistical and determine the 7-dimension data of this not power operation;According to not power operation quota, calculate the cost of each actual not power operation;Calculate the 7-dimension average data of each small class not power operation;Using group average connection method in cluster analysis method to process the data obtained;Using entropy weight method to process the data obtained;The clustering results of each small class not power operation and the weighted results after entropy weight method are comprehensively processed, and the comprehensive evaluation value of the benefit of each small class not power operation is obtained;According to comprehensive evaluation value, the benefit of not power operation is evaluated.The application establishes the benefit comprehensive evaluation system for not power operation, solves the problem that the benefit analysis and evaluation index and dimension of existing distribution network not power operation are single.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power distribution network, in particular to a comprehensive evaluation method for the benefit of non-stop work of medium and low voltage distribution network. BACKGROUND

[0002] Non-stop work of medium and low voltage distribution network has become an important means of distribution network infrastructure or maintenance, realizing non-stop or short-time stop of user power supply, so as to meet the requirement of continuously improving power supply reliability. Its work technology and assembly technology are becoming mature, and are widely popularized. With a large number of work times, the resources and annual cost of power supply enterprises in non-stop work personnel, equipment, construction, equipment maintenance and other aspects are also increasing. Therefore, how to scientifically and effectively comprehensively evaluate the benefit of non-stop work has become a key problem that should be concerned in further deepening non-stop work.

[0003] Non-stop work of medium and low voltage distribution network is an operation of adopting short-time stop, live line, load transfer and other ways to maintain lines and equipment. Non-stop work projects are numerous and the work process is complex. The categories include medium and low voltage live line, low voltage contact, power generation vehicle, bypass operation and comprehensive operation. The projects include infrastructure, operation, user, operation and maintenance and relocation. The engineering projects involve industry expansion and user engineering plan, infrastructure plan, operation and maintenance. The work methods include insulating pole operation method, insulating glove operation method and comprehensive non-stop work method.

[0004] At present, the benefit analysis and evaluation of distribution network non-stop work mainly focuses on single indicators or simple statistical level such as work time statistics, reduction of power stop and work demand cost. There is a lack of comprehensive evaluation system of non-stop work facing multiple indicators. Some methods are biased towards theory and lack comparison and verification of actual work statistical data, which are not suitable for evaluating actual work cost and benefit. SUMMARY

[0005] The technical problem to be solved by the present application is to provide a comprehensive evaluation method for the benefit of non-stop work of medium and low voltage distribution network, based on the actual work data of distribution network non-stop work, according to the work categories, a model considering 7 dimension data of less power stop time / operation time, average multi-power supply, average cost, average number of households, operation safety factor, operation complexity and operation number is established, a comprehensive evaluation system for the benefit of non-stop work is established, scientific and effective comprehensive benefit evaluation and use strategy are provided for scientific and efficient project selection and control of non-stop work, so as to solve the problem of single benefit analysis and evaluation index and dimension of existing distribution network non-stop work.

[0006] The technical scheme adopted by the present application to solve the technical problem is:

[0007] The application provides a comprehensive evaluation method for the benefit of non-stop power distribution network operation, which comprises the following steps:

[0008] Step 1, according to the non-stop operation quota, the actual non-stop operation condition and the non-stop operation management condition, the non-stop operation is classified;

[0009] Step 2, the data of each actual non-stop operation is obtained, and according to the content of the actual non-stop operation, the small class to which the actual non-stop operation belongs is determined;

[0010] Step 3, according to the data of each non-stop operation, the following parameters of the non-stop operation are counted and determined: less power outage time, operation time, more power supply, time and household number, operation safety factor, operation complexity, operation number, less power outage time / operation time;

[0011] Step 4, according to the non-stop operation quota, the cost of each actual non-stop operation is calculated;

[0012] Step 5, the following data of each small class non-stop operation is calculated: average less power outage time, average operation time, average more power supply, average cost, average time and household number, average operation safety factor, average operation complexity, average operation number;

[0013] Step 6, according to the data processed in step 5, the data is processed by standardization, and then the data is processed by the group average connection method in the cluster analysis method;

[0014] Step 7, according to the data processed in step 5, the data is processed by the entropy weight method;

[0015] Step 8, the clustering results of each small class non-stop operation and the weighted results after the entropy weight method are comprehensively processed to obtain the comprehensive evaluation value of the benefit of each small class non-stop operation;

[0016] Step 9, the benefit of the non-stop operation is evaluated according to the comprehensive evaluation value, the smaller the comprehensive evaluation value is, the better the benefit is, and the recommended priority operation is; the larger the comprehensive evaluation value is, the worse the benefit is.

[0017] Further, the classification in step 1 of the application comprises 44 small classes of non-stop operation under 3 big classes.

[0018] Further, the formula for calculating the cost in step 4 of the application is:

[0019] C i =N*R k

[0020] Wherein, C i is the cost of the i th non-stop operation; N is the non-stop operation frequency of the i th non-stop operation; R kThe quota of the kth small type of non-power-off operation to which the ith non-power-off operation belongs.

[0021] Further, the specific method in the step 6 of the present application comprises:

[0022] Let n=44, that is, 44 small types of non-power-off operation; x ij represents the jth index of the ith non-power-off operation;

[0023] Because there are positive indexes and negative indexes, the linear proportional transformation method is used for data standardization processing, and for x ij , the matrix X=(x ij ) m×p ,

[0024] For the positive index, take then

[0025] For the negative index, take then

[0026] The matrix Y=(y ij ) m×p is the data after standardization processing;

[0027] After clustering processing, 4 types are divided according to the clustering results, and the clustering results of each small type are obtained by assigning values 1, 2, 3 and 4 according to the clustering result values, and the clustering result of the ith small type is L i .

[0028] Further, the specific method in the step 7 of the present application comprises:

[0029] (1) when there are m objects to be evaluated and p evaluation indexes, the value of the jth evaluation index of the ith evaluation object is defined as x ij ;

[0030] (2) the jth evaluation index is standardized, and the linear proportional transformation method in the step 6 is used for standardization processing;

[0031] (3) the entropy value is calculated, and the entropy value calculation formula of the jth evaluation index is:

[0032]

[0033] wherein,

[0034]

[0035]

[0036] (4) the entropy weight is calculated, and the entropy weight calculation formula of the jth evaluation index is:

[0037]

[0038] (5) Only for the ratio of little power outage operation and operation time, average power supply and cost of 3 indexes, entropy weight method is handled, so that the weight of the 3 indexes is ω T , ω W , ω C ;

[0039] ω T =0.0573, ω W =0.79, ω C =0.1527;

[0040] (6) The entropy weight evaluation result of each type of non-power outage operation is calculated, and the entropy weight evaluation result of the i-th non-power outage operation is S i , and the formula is

[0041] S i =ω T ×T+ω W ×W+ω C ×C

[0042] In the formula, T is the little power outage time of non-power outage operation / non-power outage operation time, h / h; W is the average power supply, 10kWh; and C is the cost, yuan.

[0043] (7) According to the size of S i , the larger S i is, the better the effect is, and the entropy weight score value RS i =1, that is, the minimum sorting value, and the smaller S i is, the worse the effect is, and the entropy weight score value RS i is the maximum sorting value.

[0044] Further, the specific method in the step 8 of the present application comprises:

[0045] The clustering result of each small type of non-power outage operation and the weighted result after the entropy weight method are comprehensively processed to obtain the comprehensive evaluation value of the benefit of each small type of non-power outage operation, and the calculation formula of the comprehensive evaluation value of the i-th small type is:

[0046] R i =RS i +L i

[0047] In the formula, R i is the comprehensive evaluation value of the benefit of non-power outage operation.

[0048] Further, according to R i in the step 9 of the present application, Ri The smaller, the better, recommended priority operation, R i The larger, the worse.

[0049] The beneficial effects of the present application are: the comprehensive evaluation method of the benefit of the low-voltage distribution network of the present application has the following advantages:

[0050] (1) Perfection. The comprehensive evaluation method of the benefit of the low-voltage distribution network provided by the present application comprehensively considers the data of 7 dimensions of less power outage time / operation time, average power supply, average cost, average number of households, operation safety factor, operation complexity, and operation number in the low-voltage distribution network operation, and considers more perfect factors.

[0051] (2) Accuracy. The present application comprehensively uses clustering analysis and entropy weight method with theoretical basis and in-depth analysis, combined with the actual situation, so that the evaluation is more accurate.

[0052] (3) Ease of use. The present application sorts according to the comprehensive evaluation value of the benefit, the lower the comprehensive evaluation value, the better the benefit, and the lower the implementation priority, the higher the comprehensive evaluation value, the worse the benefit, and the later the implementation, which is more easy to use. BRIEF DESCRIPTION OF DRAWINGS

[0053] The present application will be further described below in combination with the drawings and examples, and the drawings are as follows:

[0054] Figure 1 is the flowchart of the clustering analysis method of the embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical scheme and advantages of the present application more clear and explicit, the present application will be further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application, and are not used to limit the present application.

[0056] The comprehensive evaluation method of the benefit of the low-voltage distribution network of the embodiment of the present application includes the following steps:

[0057] 1. According to the non-stop operation quota, the actual non-stop operation situation, and the non-stop operation management, the non-stop operation is determined as 44 small categories shown in Table 1.

[0058] Table 1 Large category, small category and number table of non-stop operation

[0059]

[0060]

[0061]

[0062] 2. Based on the actual work content, determine which subcategory each of the actual live-line work data belongs to in Table 1. Using the data from the example as a reference, according to the actual live-line work data, only 22 subcategories were actually performed.

[0063] 3. Based on the data of each live-line operation, statistically determine the following for the live-line operation: (1) less power outage time, (2) operation time, (3) more power supply, (4) number of households per hour, (5) operation safety factor, (6) operation complexity, (7) number of workers, and (8) less power outage time / operation time.

[0064] 4. Calculate the cost of each actual live-line work operation based on the live-line work quota. The specific formula for calculating the cost is as follows:

[0065] C i =N*R k

[0066] Among them, C i R represents the cost of the i-th uninterrupted power supply operation; N represents the number of uninterrupted power supply operations required for the i-th uninterrupted power supply operation; k The live-line work quota for the k-th subcategory to which the i-th live-line work belongs.

[0067] 5. Calculate the data for each sub-category of live-line work, namely: (1) average less power outage time / work time, (2) average more power supply, (3) average cost, (4) average number of households per hour, (5) average work safety factor, (6) average work complexity, and (7) average number of workers. These 7 indicators can be represented by j, that is: j = 1 refers to the first indicator. ij This represents the j-th indicator of the i-th live-line work.

[0068] 6. The data processed in step 5 above is standardized, and then the group mean link method in cluster analysis is used to process the resulting data. The process is shown in the attached figure. Figure 1 As shown.

[0069] Appendix Figure 1 In this context, let n = 44, which means 44 subcategories of live-line work.

[0070] Because there are positive and negative indicators, the data standardization process uses a linear scaling transformation method for x. ij The matrix X = (x ij ) m×p ,

[0071] For positive indicators, take but

[0072] For contrarian indicators, take Then

[0073] Matrix Y = (y ij ) m×p is the data after normalization processing;

[0074] After clustering processing, the data is divided into 4 categories according to the clustering results, and the values 1, 2, 3 and 4 are assigned according to the size of the clustering result value, respectively, to obtain the clustering results of each subcategory, and the clustering result of the ith subcategory is L i The clustering evaluation results of the uninterrupted operation are shown in Table 2.

[0075] Table 2 Clustering evaluation results of uninterrupted operation

[0076]

[0077]

[0078]

[0079] 7、The data after the above step 5 processing is processed by entropy weight method, and the steps are as follows:

[0080] (1) When there are m evaluation objects in total and p evaluation indexes in total, the value of the jth evaluation index of the ith evaluation object is defined as x ij ;

[0081] (2) The j evaluation indexes are standardized, and the linear proportional transformation method in step 6 is used for standardization processing;

[0082] (3) Calculate the entropy value, and the entropy value calculation formula of the jth evaluation index is:

[0083]

[0084] Among them,

[0085]

[0086]

[0087] (4) Entropy weight calculation, and the entropy weight calculation formula of the jth evaluation index is:

[0088]

[0089] (5) Only for the ratio of less power outage operation and operation time, the average power supply and cost, entropy weight method is used for processing, so as to obtain the weight of the three indexes, ω T , ω W , ω C ;

[0090] ω T = 0.0573, ω W = 0.79, ω C = 0.1527;

[0091] (6) Calculate the entropy weight evaluation result of each type of uninterrupted operation, and the entropy weight evaluation result of the ith uninterrupted operation is S i , and the formula is

[0092] S i = ω T × T + ω W × W + ω C × C

[0093] In the formula, T is the uninterrupted operation time / uninterrupted operation time, h / h; W is the average power supply, 10,000 kWh; C is the cost, yuan.

[0094] (7) Sort according to S i , the larger S i , the better the effect, and the entropy weight score value RS i = 1, that is, the minimum sorting value, S i The smaller, the worse the effect, and the entropy weight score value RS i is the maximum sorting value.

[0095] The entropy weight score value is shown in Table 3.

[0096] Table 3 Entropy weight score value of uninterrupted operation

[0097]

[0098]

[0099] 8, The clustering results of each subcategory of uninterrupted operation and the weighted results after the entropy weight method are comprehensively processed to obtain the comprehensive evaluation value of the benefit of each subcategory of uninterrupted operation. The calculation formula of the comprehensive evaluation value of the ith subcategory is:

[0100] R i = RS i + L i

[0101] In the formula, R i is the comprehensive evaluation value of the benefit of uninterrupted operation.

[0102] The comprehensive evaluation value of the benefit of uninterrupted operation is shown in Table 4.

[0103] Table 4 Comprehensive evaluation value of uninterrupted operation

[0104]

[0105]

[0106] 9. According to R i ranking, R i The smaller, the better, recommend priority job, R i The larger, the worse.

[0107] It should be understood that the parts not elaborated in the specification are all prior art.

[0108] The above only describes the embodiments of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation using the content of the specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A comprehensive evaluation method for the benefit of non-stop operation of a medium and low voltage distribution network, characterized in that, The method includes the following steps: Step 1: Classify live-line work according to the live-line work quota, actual live-line work situation, and live-line work management situation; Step 2: Obtain data for each actual live-line operation and determine its sub-category based on the content of the actual live-line operation; Step 3: Based on the data of each live-line work, statistically determine the following parameters for the live-line work: minimum power outage time, work time, maximum power supply, number of households per hour, work safety factor, work complexity, number of workers, minimum power outage time / work time; Step 4: Calculate the cost of each actual live-line work operation based on the live-line work quota; the formula for calculating the cost in Step 4 is: wherein, is the cost of the i-th non-stop operation; is the number of non-stop operation times of the i-th non-stop operation; is the non-stop operation quota of the k-th sub-category to which the i-th non-stop operation belongs. Step 5: Calculate the following data for each sub-category of live-line work: average minimum power outage time, average work time, average maximum power supply, average cost, average number of households per hour, average work safety factor, average work complexity, and average number of workers. Step 6: Based on the data processed in Step 5, standardize it, and then process the resulting data using the group mean link method in cluster analysis. The specific methods in step 6 include: Let n = 44, i.e. 44 sub-classes without power outage operation; denotes the jth indicator of the ith non-power outage operation; Because there are positive indicators and reverse indicators, the data standardization processing uses linear scaling method, for , there are matrix , For the positive indicator, take then For the inverse indicator, take then matrix is the standardized data; After clustering processing, according to the clustering results, it is divided into 4 categories, and the clustering results of each small category are obtained by assigning values 1, 2, 3 and 4 to the clustering results according to their sizes, and the clustering result of the ith small category is ; Step 7: Based on the data processed in Step 5, process the resulting data using the entropy weight method; The specific methods in step 7 include: (1) When there are a total of objects to be evaluated When there are p evaluation indicators, the first one is defined as... The first evaluation object The values ​​of each evaluation indicator ; (2) To Each evaluation index is standardized using the linear proportional transformation method described in step 6. (3) Calculate the entropy value. The formula for calculating the entropy value of the j-th evaluation index is: in, (4) Entropy weight calculation, the first j The formula for calculating the entropy weight of each evaluation indicator is as follows: (5) Only for the three indicators of the ratio of fewer power outages to operation time, average additional power supply, and cost, the entropy weight method is used to obtain the weights of these three indicators, which are as follows: , , ; 、 、 ； (6) Calculate the entropy weight evaluation results for each type of live-line work. The entropy weight evaluation result for the i-th live-line work is: Its formula is In the formula: To minimize power outage time for live-line work / live-line work time, in hours (h / h); W For the average additional power supply, in ten thousand kWh; C Cost, in yuan; (7) According to Sort by size The larger the value, the better the effect; the higher the entropy weight score. That is, the minimum sort value. The smaller the value, the worse the effect; the entropy weight score. The maximum sorted value; Step 8: Combine the clustering results of each subcategory of live-line work with the weighted results obtained using the entropy weight method to obtain a comprehensive evaluation value of the benefits of each subcategory of live-line work; the specific methods in step 8 include: The clustering results of each subcategory of live-line work and the weighted results after entropy weighting are combined to obtain the comprehensive evaluation value of the benefits of each subcategory of live-line work. The formula for calculating the comprehensive evaluation value of the i-th subcategory is as follows: In the formula, The comprehensive evaluation value of the benefits of live-line work; Step 9: Evaluate the benefits of live-line work based on the comprehensive evaluation value. The smaller the comprehensive evaluation value, the better the benefits, and the higher the comprehensive evaluation value, the worse the benefits.

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