CN114638491A - Comprehensive evaluation method for uninterrupted operation benefit of medium and low voltage distribution network - Google Patents
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Abstract
The invention discloses a comprehensive evaluation method for uninterrupted operation benefit of a medium and low voltage distribution network, which comprises the following steps: classifying the uninterrupted operation; acquiring data of each actual uninterrupted operation, and determining a subclass to which the data belong; counting and determining 7-dimensional data of the uninterrupted operation; calculating the cost of each actual uninterrupted operation according to the rated uninterrupted operation; calculating 7-dimensional average data of each subclass of uninterrupted operation; processing the obtained data by adopting a group average connection method in a clustering analysis method; processing the obtained data by adopting an entropy weight method; comprehensively processing the clustering result of each subclass of uninterrupted operation and the weighting result after the entropy weight method to obtain a comprehensive evaluation value of the benefit of each subclass of uninterrupted operation; and evaluating the benefits of the uninterrupted operation according to the comprehensive evaluation value. The invention establishes a comprehensive evaluation system for benefits of uninterrupted power operation, and solves the problems of benefit analysis and evaluation index and single dimension of the uninterrupted power operation of the existing distribution network.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a comprehensive evaluation method for uninterrupted operation benefits of a medium and low voltage distribution network.
Background
The uninterrupted operation of the medium and low voltage distribution network becomes an important means for the infrastructure construction or maintenance of the distribution network, and the uninterrupted or short-time power failure of the power supply of a user is realized, so that the requirement of continuously improving the reliability of the power supply is met. The operation technology and the assembly technology of the power supply system are mature and widely popularized, and with the increase of a large number of operation times, the resource and annual cost investment of power supply enterprises in the aspects of uninterrupted operation personnel, equipment, construction, equipment maintenance and the like is increased. Therefore, how to perform scientific and effective comprehensive evaluation on the benefits of the uninterruptible operation is a key problem to be focused on for further deepening the uninterruptible operation.
The uninterrupted operation of the medium and low voltage distribution network is the operation of overhauling lines and equipment by adopting various modes such as short-time power cut, electrification, load transfer and the like and matching, the uninterrupted operation has various uninterrupted operation projects and complex operation processes, the categories comprise medium and low voltage electrification, low voltage connection, a generator car, bypass operation and comprehensive operation, the projects comprise capital construction, operation, users, operation and migration and transformation categories, and relate to engineering projects such as business expansion and user engineering plans, capital construction plans, operation and maintenance, and the operation modes are divided into an insulating rod operation method, an insulating glove operation method and a comprehensive uninterrupted operation method.
At present, the benefit analysis and evaluation of the uninterrupted power operation of the power distribution network mainly focuses on single indexes of operation frequency statistics, power failure reduction, operation demand cost reduction and the like or simple statistical levels, a comprehensive evaluation system for multi-index uninterrupted power operation is lacked, and some methods are biased to theories, lack of comparison and verification of actual operation statistical data and are not suitable for evaluating actual operation cost and benefit.
Disclosure of Invention
The invention aims to solve the technical problem that the defects in the prior art are overcome, and provides a comprehensive evaluation method for the uninterrupted operation benefit of a medium and low voltage distribution network, which is characterized in that a model for considering the total 7-dimensional data of less power failure time/operation time, average multi-power supply quantity, average cost, average number of households, operation safety factor, operation complexity and operation number of people of each operation type is established according to the operation type based on the actual operation data of the uninterrupted operation of the distribution network, a comprehensive evaluation system for the benefit of the uninterrupted operation is established, scientific and effective comprehensive benefit evaluation and use strategies are provided for scientifically and efficiently carrying out project screening and management and control of the uninterrupted operation, and the problem that the benefit analysis and evaluation index and the dimension of the existing uninterrupted operation of the distribution network are single is solved.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides a comprehensive evaluation method for the uninterrupted power operation benefit of a medium and low voltage distribution network, which comprises the following steps:
step 1, classifying the uninterrupted operation according to the quota of the uninterrupted operation, the actual uninterrupted operation condition and the condition of uninterrupted operation management;
step 2, acquiring data of each actual uninterrupted power operation, and determining a subclass to which the actual uninterrupted power operation belongs according to the content of the actual uninterrupted power operation;
step 3, according to the data of each uninterrupted operation, counting and determining the following parameters of the uninterrupted operation: the power failure time, the operation time, the power supply amount, the number of the users, the operation safety coefficient, the operation complexity, the number of the operation people and the power failure time/operation time are reduced;
step 4, calculating the cost of each actual uninterrupted operation according to the uninterrupted operation quota;
step 5, calculating the following data of various subclasses of uninterrupted operation: average power failure time, average operation time, average power supply amount, average cost, average number of households, average operation safety coefficient, average operation complexity and average number of people in operation;
step 6, carrying out standardization processing on the data processed in the step 5 according to the data, and then processing the obtained data by adopting a group average connection method in a cluster analysis method;
step 7, processing the obtained data by adopting an entropy weight method according to the data processed in the step 5;
step 8, comprehensively processing the clustering result of each subclass of uninterrupted operation and the weighting result after the entropy weight method to obtain a comprehensive evaluation value of the benefit of each subclass of uninterrupted operation;
step 9, evaluating the benefits of the uninterrupted operation according to the comprehensive evaluation value, wherein the smaller the comprehensive evaluation value is, the better the benefits are, and the priority operation is recommended; the larger the comprehensive evaluation value is, the worse the benefit is.
Further, the classification in step 1 of the present invention includes 44 subclasses of uninterrupted operation under 3 major classes.
Further, the formula of the calculation cost in the step 4 of the present invention is:
Ci＝N*Rk
wherein, CiCost for the ith uninterrupted operation; n is the uninterrupted operation frequency of the ith uninterrupted operation; rkAnd the rated value is the rated value of the uninterrupted operation of the kth subclass to which the ith uninterrupted operation belongs.
Further, the specific method in step 6 of the present invention includes:
setting n to 44, namely 44 subclasses of uninterrupted operation; x is the number ofijA j index indicating an ith uninterruptible operation;
because of the forward index and the reverse index, the data standardization adopts the linear scaling method for xijWith the matrix X ═ Xij)m×p，
For the forward direction index, take
Then
For inverseTo the index, get
Then
The matrix Y ═ Yij)m×pThe data is normalized;
after clustering treatment, dividing the cluster result into 4 types, respectively assigning 1, 2, 3 and 4 according to the value of the cluster result to obtain the cluster result of each subclass, wherein the cluster result of the ith subclass is Li。
Further, the specific method in step 7 of the present invention includes:
(1) when m objects to be evaluated are in total and p evaluation indexes are in total, defining the value of the jth evaluation index of the ith evaluation object as xij；
(2) Carrying out standardization processing on the j evaluation indexes, wherein the standardization processing adopts a linear scale conversion method in the step 6;
(3) calculating an entropy value, wherein the entropy value calculation formula of the jth evaluation index is as follows:
wherein the content of the first and second substances,
(4) calculating the entropy weight, wherein the entropy weight calculation formula of the jth evaluation index is as follows:
(5) only aiming at the ratio of the operation with less power failure to the operation time, the average multi-power supply amount and the cost which are 3 indexes, entropy weight processing is carried out, so that the weights of the 3 indexes are respectively omegaT、ωW、ωC；
ωT＝0.0573、ωW＝0.79、ωC＝0.1527；
(6) Calculating the entropy weight evaluation result of various non-power-off operations, wherein the entropy weight evaluation result of the ith non-power-off operation is SiThe formula is
Si＝ωT×T+ωW×W+ωC×C
In the formula: t is the power-off-less time of the uninterrupted operation/the uninterrupted operation time h/h; w is the average multi-supply power, ten thousand kWh; c is cost and yuan.
(7) According to SiSize ordering, SiThe maximum, better effect, entropic weight score value RSi1, i.e. minimum rank value, SiThe minimum, the worse the effect, the entropy weight score value RSiIs the maximum rank value.
Further, the specific method in step 8 of the present invention includes:
comprehensively processing the clustering result of each subclass of uninterrupted operation and the weighting result after the entropy weight method to obtain a comprehensive evaluation value of the benefit of each subclass of uninterrupted operation, wherein the calculation formula of the comprehensive evaluation value of the ith subclass is as follows:
Ri＝RSi+Li
in the formula, RiThe comprehensive evaluation value of the benefits of the uninterrupted operation is obtained.
Further, said step 9 of the present invention is based on RiOrdering, RiThe smaller the benefit, the better the benefit, the preferred job is recommended, RiThe larger the size, the worse the benefit.
The invention has the following beneficial effects: the comprehensive evaluation method for the uninterrupted operation benefit of the medium and low voltage distribution network has the following advantages:
(1) and (4) perfection. The comprehensive evaluation method for the benefits of the low-voltage uninterruptible power technology in the power distribution network comprehensively considers the data of 7 dimensions of less power off time/operation time, average power supply amount, average cost, average number of households, operation safety factor, operation complexity and operation number in low-voltage uninterruptible operation in the power distribution network, and the consideration factor is complete.
(2) And (4) accuracy. The invention comprehensively adopts the clustering analysis and the entropy weight method with theoretical basis and deep analysis, and combines the practice to ensure that the evaluation is more accurate.
(3) Easy to use. The invention carries out sequencing according to the comprehensive evaluation value of the benefits, has low comprehensive evaluation value, good explanation benefit, preferential implementation, high comprehensive evaluation value, poor explanation benefit, delayed implementation and easy use.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a flowchart of a cluster analysis method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The comprehensive evaluation method for the benefits of the low-voltage uninterrupted power supply technology in the power distribution network comprises the following steps:
1. the non-stop operation is determined to be 44 categories shown in table 1 according to the non-stop operation quota, the actual non-stop operation condition and the non-stop operation management condition.
TABLE 1 major and minor categories and their numbering tables for uninterrupted operation
2. The data of each actual uninterrupted operation is determined to belong to a certain subclass in table 1 according to the actual operation content. Based on the data of the embodiment, only 22 subclasses actually perform the operation based on the data of the actual uninterrupted operation.
3. According to the data of each uninterrupted operation, counting and determining the uninterrupted operation: (1) the method comprises the following steps of (1) reducing power failure time, (2) operating time, (3) increasing power supply amount, (4) number of households, (5) operating safety factor, (6) operating complexity, (7) number of operators, and (8) reducing power failure time/operating time.
4. And calculating the cost of each actual uninterrupted operation according to the rated uninterrupted operation. The formula of the specific calculation cost is as follows:
Ci＝N*Rk
wherein, CiCost for the ith uninterrupted operation; n is the uninterrupted operation frequency of the ith uninterrupted operation; r iskAnd the rated value is the rated value of the uninterrupted operation of the kth subclass to which the ith uninterrupted operation belongs.
5. Calculating data of each subclass of uninterrupted power operation, which respectively comprises the following steps: (1) average power failure time/operation time, (2) average power supply amount, (3) average cost, (4) average number of households, (5) average operation safety factor, (6) average operation complexity, and (7) average number of persons who operate. These 7 metrics can be represented by j, i.e.: j ═ 1 indicates the 1 st index. x is the number ofijAnd j index representing the ith uninterrupted power operation.
6. The data processed in the step 5 is normalized, and then the data obtained is processed by a group average connection method in a cluster analysis method, and the flow is shown in fig. 1.
In fig. 1, let n be 44, i.e. 44 subclasses do not have power-off operation.
Because of the forward index and the reverse index, the data standardization adopts the linear scaling method for xijWith the matrix X ═ Xij)m×p，
For the forward direction index, take
Then
For the reverse index, take
Then
The matrix Y ═ Yij)m×pThe data is normalized;
after clustering treatment, dividing the cluster result into 4 types, respectively assigning 1, 2, 3 and 4 according to the value of the cluster result to obtain the cluster result of each subclass, wherein the cluster result of the ith subclass is Li. The clustering evaluation results of the uninterrupted operation are shown in table 2.
TABLE 2 clustering evaluation results of uninterruptible Power operation
7. The data processed in the step 5 is processed by an entropy weight method, and the steps are as follows:
(1) when m objects to be evaluated are in total and p evaluation indexes are in total, defining the value of the jth evaluation index of the ith evaluation object as xij；
(2) Carrying out standardization processing on the j evaluation indexes, wherein the standardization processing adopts a linear scale conversion method in the step 6;
(3) calculating an entropy value, wherein the entropy value calculation formula of the jth evaluation index is as follows:
wherein the content of the first and second substances,
(4) calculating the entropy weight, wherein the entropy weight calculation formula of the jth evaluation index is as follows:
(5) entropy weight method processing is carried out only aiming at 3 indexes of the ratio of the operation with less power failure to the operation time, the average multi-power supply quantity and the cost, so as to obtain the weight of the 3 indexes, wherein the weight is omegaT、ωW、ωC；
ωT＝0.0573、ωW＝0.79、ωC＝0.1527；
(6) Calculating the entropy weight evaluation result of various non-power-off operations, wherein the entropy weight evaluation result of the ith non-power-off operation is SiOf the formula
Si＝ωT×T+ωW×W+ωC×C
In the formula: t is the power-off operation less power-off time/power-off operation time h/h; w is the average multi-supply power, ten thousand kWh; c is cost and yuan.
(7) According to SiSize ordering, SiMaximum, better effect, entropic weightValue of credit RSi1, i.e. minimum rank value, SiThe minimum, the worse the effect, the entropy weight score value RSiIs the maximum rank value.
The entropy weight scores are shown in Table 3.
TABLE 3 entropy weight scores for uninterrupted Power operation
8. Comprehensively processing the clustering result of each subclass of uninterrupted operation and the weighting result after the entropy weight method to obtain a comprehensive evaluation value of the benefit of each subclass of uninterrupted operation, wherein the calculation formula of the comprehensive evaluation value of the ith subclass is as follows:
Ri＝RSi+Li
in the formula, RiThe comprehensive evaluation value of the benefits of the uninterrupted operation is obtained.
The comprehensive evaluation values of the benefits of the uninterrupted operation are shown in table 4.
TABLE 4 comprehensive evaluation value for uninterruptible Power operation
9. According to RiOrdering, RiThe smaller the benefit, the better the benefit, the preferred job is recommended, RiThe larger the size, the worse the benefit.
It should be understood that parts of the specification not set forth in detail are well within the prior art.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A comprehensive evaluation method for the uninterrupted operation benefit of a medium and low voltage distribution network is characterized by comprising the following steps:
step 1, classifying the uninterrupted operation according to the rated uninterrupted operation, the actual uninterrupted operation condition and the uninterrupted operation management condition;
step 2, acquiring data of each actual uninterrupted power operation, and determining a subclass to which the actual uninterrupted power operation belongs according to the content of the actual uninterrupted power operation;
step 3, according to the data of each uninterrupted operation, counting and determining the following parameters of the uninterrupted operation: the power failure time, the operation time, the power supply amount, the number of the users, the operation safety coefficient, the operation complexity, the number of the operation people and the power failure time/operation time are reduced;
step 4, calculating the cost of each actual uninterrupted operation according to the uninterrupted operation quota;
step 5, calculating the following data of various subclasses of uninterrupted operation: average power failure time, average operation time, average power supply amount, average cost, average number of households, average operation safety coefficient, average operation complexity and average number of people in operation;
step 6, carrying out standardization processing on the data processed in the step 5 according to the data, and then processing the obtained data by adopting a group average connection method in a cluster analysis method;
step 7, processing the obtained data by adopting an entropy weight method according to the data processed in the step 5;
step 8, comprehensively processing the clustering result of each subclass of uninterrupted operation and the weighting result after the entropy weight method to obtain a comprehensive evaluation value of the benefit of each subclass of uninterrupted operation;
step 9, evaluating the benefits of the uninterrupted operation according to the comprehensive evaluation value, wherein the smaller the comprehensive evaluation value is, the better the benefits are, and the recommended operation is preferred; the larger the comprehensive evaluation value is, the worse the benefit is.
2. The comprehensive evaluation method for the benefits of the uninterruptible power operation of the medium and low voltage distribution network according to claim 1, wherein the classification in step 1 includes 44 subclasses of uninterruptible power operation under 3 major classes.
3. The comprehensive evaluation method for the uninterrupted power operation benefit of the medium and low voltage distribution network according to claim 1, wherein the formula for calculating the cost in the step 4 is as follows:
Ci＝N*Rk
wherein, CiThe cost of the ith uninterrupted operation; n is the uninterrupted operation frequency of the ith uninterrupted operation; rkAnd the rated value is the rated value of the uninterrupted operation of the kth subclass to which the ith uninterrupted operation belongs.
4. The comprehensive evaluation method for the uninterrupted power operation benefit of the medium and low voltage distribution network according to claim 1, wherein the specific method in the step 6 comprises the following steps:
setting n to 44, namely 44 subclasses of uninterrupted operation; x is the number ofijA j index indicating an ith uninterruptible operation;
because of the forward index and the reverse index, the data standardization adopts the linear scaling method for xijWith the matrix X ═ Xij)m×p，
For the forward direction index, take
Then
For the reverse index, take
Then
The matrix Y ═ Yij)m×pThe data is normalized;
after clustering treatment, dividing the cluster result into 4 types, respectively assigning 1, 2, 3 and 4 according to the value of the cluster result to obtain the cluster result of each subclass, wherein the cluster result of the ith subclass is Li。
5. The comprehensive evaluation method for the uninterrupted power operation benefit of the medium and low voltage distribution network according to claim 4, wherein the specific method in the step 7 comprises the following steps:
(1) when m objects to be evaluated are in total and p evaluation indexes are in total, defining the value of the jth evaluation index of the ith evaluation object as xij；
(2) Standardizing the j evaluation indexes by adopting the linear scale conversion method in the step 6;
(3) calculating an entropy value, wherein the entropy value calculation formula of the jth evaluation index is as follows:
wherein the content of the first and second substances,
(4) calculating the entropy weight, wherein the entropy weight calculation formula of the jth evaluation index is as follows:
(5) entropy weight method processing is carried out only aiming at 3 indexes of the ratio of the operation with less power failure to the operation time, the average multi-power supply quantity and the cost, so as to obtain the weight of the 3 indexes, wherein the weight is omegaT、ωW、ωC；
ωT＝0.0573、ωW＝0.79、ωC＝0.1527；
(6) Calculating the entropy weight evaluation result of various non-power-off operations, wherein the entropy weight evaluation result of the ith non-power-off operation is SiThe formula is
Si＝ωT×T+ωW×W+ωC×C
In the formula: t is the power-off-less time of the uninterrupted operation/the uninterrupted operation time h/h; w is the average multi-power supply, ten thousand kWh; c is cost and yuan.
(7) According to SiSize ordering, SiThe maximum and better effect, the entropic weight score value RSi1, i.e. minimum rank value, SiThe minimum, the worse the effect, the entropy weight score value RSiIs the maximum rank value.
6. The comprehensive evaluation method for the uninterrupted operation benefit of the medium and low voltage distribution network according to claim 5, wherein the specific method in the step 8 comprises the following steps:
comprehensively processing the clustering result of each subclass of uninterrupted operation and the weighting result after the entropy weight method to obtain a comprehensive evaluation value of the benefit of each subclass of uninterrupted operation, wherein the calculation formula of the comprehensive evaluation value of the ith subclass is as follows:
Ri＝RSi+Li
in the formula, RiThe comprehensive evaluation value of the benefits of the uninterrupted operation is obtained.
7. The comprehensive evaluation method for the uninterrupted power operation benefit of the medium and low voltage distribution network according to claim 6, wherein the step 9 is performed according to RiOrdering, RiThe smaller the benefit, the better the benefit, the preferred job is recommended, RiThe larger the size, the worse the benefit.
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| CN117151934A (en) * | 2023-10-30 | 2023-12-01 | 国网冀北电力有限公司 | Multi-dimensional cluster analysis method and device for uninterrupted operation project of power distribution network |
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| CN117151934A (en) * | 2023-10-30 | 2023-12-01 | 国网冀北电力有限公司 | Multi-dimensional cluster analysis method and device for uninterrupted operation project of power distribution network |
| CN117151934B (en) * | 2023-10-30 | 2024-01-30 | 国网冀北电力有限公司 | Multi-dimensional cluster analysis method and device for uninterrupted operation project of power distribution network |
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