CN111160719A - Two-network fused multi-index evaluation method - Google Patents

Two-network fused multi-index evaluation method Download PDF

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CN111160719A
CN111160719A CN201911261970.6A CN201911261970A CN111160719A CN 111160719 A CN111160719 A CN 111160719A CN 201911261970 A CN201911261970 A CN 201911261970A CN 111160719 A CN111160719 A CN 111160719A
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subjective
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叶刚进
周昱甬
王骏海
商佳宜
杨翾
吴梦遥
赵天煜
郑亚敏
毛西吟
沈丹佶
王浩国
陈琳
陆海波
张志鹏
陈致远
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State Grid Corp of China SGCC
State Grid Zhejiang Electric Power Co Ltd
Hangzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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State Grid Zhejiang Electric Power Co Ltd
Hangzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Abstract

The application discloses a multi-index evaluation method for two-network integration, which comprises the steps of establishing a rural power grid 'two-network integration' construction foundation evaluation index system by using an analytic hierarchy process, and carrying out normalization processing on indexes by using a normalization processing method; then, subjective weight calculation is carried out on the evaluation system through a G1 method to obtain the subjective weight of each index under the evaluation of different experts; and finally, carrying out weighted average on all subjective weights, and combining the weighted average with a basic evaluation system to construct a comprehensive weight system so as to obtain a rural power grid 'two-network integration' construction multi-index comprehensive evaluation system. The method standardizes calculation, is suitable for evaluation calculation of 'two-network integration' construction indexes of various rural power networks, is very suitable for software development, and realizes the universality of calculation.

Description

Two-network fused multi-index evaluation method
Technical Field
The application relates to the field of power grid evaluation, in particular to a multi-index evaluation method for two-network integration.
Background
In the building field, in order to promote the utilization of renewable energy, indexes of the utilization of the renewable energy are provided from the aspects of policies, standard specifications, urban planning, energy planning and the like, and the utilization rate of the renewable energy is mostly used as one of controllability indexes. However, the existing renewable energy utilization rate calculation method mostly stays at a planning level, and is difficult to effectively guide or standardize engineering project quantification and implement renewable energy. On the basis of comprehensively analyzing the existing renewable energy utilization rate calculation method, the existing renewable energy utilization rate algorithm is analyzed by using data such as building energy consumption quota, and a method for calculating the renewable energy utilization rate of the public building by using data such as energy consumption quota is further provided. The related calculation results can provide important reference basis for government departments, planning and designing units, construction units and the like.
Disclosure of Invention
The purpose of this application is: aiming at the construction requirement of 'two networks integration', a 'two networks integration' construction multi-index comprehensive evaluation system with the characteristic of a rural power network is provided, and the 'two networks integration' construction condition of the rural power network is evaluated. The evaluation index utilizes a subjective weight system based on a sequence relation analysis method, selects indexes according to the characteristics and requirements of the rural power grid, can objectively evaluate the development degree of the rural area power grid, displays the construction maturity and the outstanding problems of the power grid, provides a clear direction for the construction of the rural area power grid, and has strong rural universality.
The purpose of the application is achieved through the following technical scheme.
The method comprises the following steps: establishing a rural power grid two-network fusion construction foundation evaluation index system by using an analytic hierarchy process, and performing normalization processing on indexes by using a normalization processing method;
step two: carrying out subjective weight calculation on each index by a sequence relation analysis method to obtain the subjective weight of each index;
step three: and finally, combining the subjective weight and the objective weight to construct a comprehensive weight system to obtain a rural power grid 'two-network integration' construction multi-index comprehensive evaluation system.
Optionally, step one, further includes:
a method for establishing a rural power grid two-network fusion construction foundation evaluation index system is established.
Optionally, the second step includes:
the method comprises the steps of sequencing indexes through different experts, determining sequence relation and relative importance degree among the indexes, then determining the subjective weight with the lowest relative importance degree, and sequentially calculating the subjective weights of other indexes by using a recurrence method to obtain a plurality of groups of subjective weights.
Optionally, step three specifically includes:
and weighting and averaging different subjective weights to obtain a final weight, and combining the final weight with a basic evaluation system to obtain the rural power grid two-network fusion construction multi-index comprehensive evaluation method.
Compared with the prior art, the beneficial effect of this application lies in:
compared with a general evaluation system, the method can more accurately measure the construction condition of the rural power grid, has higher practicability and is easy to obtain data.
Drawings
Fig. 1 is a schematic flow chart of a two-network-fused multi-index evaluation method proposed in the present application.
Detailed Description
The following description of the embodiments of the present application will be made with reference to the accompanying drawings, as shown in fig. 1.
The method comprises the following steps: establishing a rural power grid two-network fusion construction foundation evaluation index system by using an analytic hierarchy process, and performing normalization processing on indexes by using a normalization processing method;
step two: carrying out subjective weight calculation on each index by a sequence relation analysis method to obtain the subjective weight of each index;
step three: and finally, combining the subjective weight and the objective weight to construct a comprehensive weight system to obtain a rural power grid 'two-network integration' construction multi-index comprehensive evaluation system.
The multi-index comprehensive evaluation method for the construction of the rural power grid with the integration of two networks is based on the following steps:
the first step is as follows: an evaluation index system of a rural power grid 'two-network integration' construction foundation is established by using an analytic hierarchy process, and the indexes are normalized by using a normalization processing method.
When a foundation evaluation index system for construction of ' two networks integration ' of a rural power network is constructed, on the basis of deep analysis of essence, influence factors, internal relation and the like of ' two networks ' integration quantitative evaluation, research achievements such as ' general electric power internet of things planning (2019 + 2021 year) of national power grid limited responsibility company ', ' best practice case of national power grid limited company ' for construction of electric power internet of things ', ' fine evaluation rule of power distribution network construction effectiveness of first-class cities in the world ' are referred, and under the overall target requirement of power distribution network development, an evaluation index system meeting two aspects of quality and efficiency improvement and harmonious development is provided, so that the actual condition of the power distribution network is reflected as comprehensively as possible, and any important index cannot be omitted; meanwhile, the practical situations of information effectiveness, data acquisition difficulty, calculated amount and the like are considered, so that the method is not repeated or omitted really, and is suitable for the future development direction of 'two networks' integration in the countryside. On the basis of comprehensively analyzing the existing rural power grid two-network integration construction multi-index evaluation method, a sequence analysis method (G1 method) is used for carrying out weight calculation on rural power grid two-network integration construction evaluation indexes, so that the rural power grid two-network integration construction multi-index comprehensive evaluation method based on the G1 method is obtained.
The rural power grid 'two-network integration' construction foundation evaluation index system covers 2 first-level indexes, namely quality effect improvement and integration development, 5 second-level indexes, namely marketing and distribution communication, safety production, customer service, intelligent energy and resource increment, and 21 third-level indexes, wherein the specific indexes are shown in table 1.
TABLE 1 rural power grid 'two-network integration' construction foundation evaluation index system
Figure BDA0002311823710000031
Figure BDA0002311823710000041
Because different index units are different, each index needs to be normalized in order to facilitate later calculation and analysis. According to the requirements of the perfecting 'two-network integration' construction on each index in a target year, carrying out hundred-differentiation treatment on each index, wherein the specific treatment method is shown in table 2:
TABLE 2 rural power grid 'two-network integration' construction foundation evaluation index system data percentile scoring standard
Figure BDA0002311823710000051
Figure BDA0002311823710000061
Figure BDA0002311823710000071
The second step is that: and respectively carrying out sequence arrangement on the indexes by different experts, determining the sequence relation and the relative importance degree between the indexes, then determining the subjective weight with the lowest relative importance degree, and sequentially calculating the subjective weights of other indexes by using a recurrence method to obtain a plurality of groups of subjective weights.
The order relation analysis method (G1 method) is a subjective weighting method without consistency check, wherein the G1 method determines subjective weights as follows:
(1) selecting experts and determining an order relation.
Subjective weighting determination by order relation analysis (G1 method)
Figure BDA0002311823710000072
In time, an expert is required for evaluation. The order relationship is first defined as follows: if the same level is used for evaluating the index xiThe degree of importance with respect to the system evaluation target is greater than or equal to xjWhen is marked as xi>xj. The determination of the order relationship is given by the expert l in the field of energy research by means of his own experience and understanding. Each expert needs to determine the sequence relation of each layer of evaluation indexes layer by layer, namely, the evaluation indexes are sequenced according to the relative importance degree, and the specific criteria are as follows:
1) firstly, toThe most important index is selected from the given index set in the layer and recorded as
Figure BDA0002311823710000081
2) The expert selects the most important index from the rest r-1 indexes and records the index as
Figure BDA0002311823710000082
3) Repeating the above steps r-1 times, and marking the last index of the hierarchy as
Figure BDA0002311823710000083
4) Record the standard sequence relationship as
Figure BDA0002311823710000084
5) And repeating the steps, and determining the sequence relation of each layer from 0 to s layer by layer.
(2) Determining the relative importance of clinical indicators
In the ith expert evaluation, the relative importance degree of the j-th adjacent index can be represented by the formula Rjk(0. ltoreq. k.ltoreq.r, 0. ltoreq. j.ltoreq.s) wherein
Figure BDA0002311823710000085
Subjective weighting factors representing the kth index of the j-th level.
According to RjkThe definition of (a) can be seen:
Figure BDA0002311823710000086
if present in the same stage
Figure BDA0002311823710000087
The case (2) indicates that the cumulative importance exceeds the extreme importance of 1.8, and needs to be in the original RjkMultiplying the value by a scaling factor p to ensure
Figure BDA0002311823710000088
Figure BDA0002311823710000089
R′jk=Rjk*p
Wherein R'jkIs the corrected importance scale.
(3) Hierarchically calculating subjective weights
In the evaluation of the ith expert, the subjective weight of the index with the lowest relative importance in the criterion layer is as follows:
Figure BDA0002311823710000091
according to
Figure BDA0002311823710000092
The recursive formula can respectively obtain the subjective weight of other indexes of the lower criterion layer under the evaluation of each expert. Repeating the steps to respectively obtain the subjective weight of each index of each level. Therefore, the subjective weight of each index under the evaluation of each expert is as follows:
Figure BDA0002311823710000093
the third step: and (3) weighting and averaging different subjective weights to obtain a final weight, and combining the final weight with a basic evaluation system to obtain the multi-index comprehensive evaluation method for the construction of the two-network integration of the rural power grid.
And (3) obtaining the final subjective weight of each index by adopting a weighted average method:
Figure BDA0002311823710000094
therefore, the two-network fusion multi-index evaluation method of the present application is shown in table 3:
TABLE 3 Country electric network 'two networks integration' construction multi-index comprehensive evaluation method
Figure BDA0002311823710000095
Figure BDA0002311823710000101
Figure BDA0002311823710000111
Figure BDA0002311823710000121
The two-network integrated multi-index evaluation method is further described below by taking a certain rural power network as an example. According to the multi-index comprehensive evaluation method for the construction of the rural power grid 'two-network integration', the original index data of the construction of the 'two-network integration' of a certain rural power grid is shown in the table 4:
TABLE 4 index values for 2018 years of construction evaluation of 'two networks integration' of certain rural power grid
Figure BDA0002311823710000122
Figure BDA0002311823710000131
The results obtained by subjecting them to the percent treatment are shown in table 5:
TABLE 5 construction evaluation of 'two networks integration' construction of a certain rural power grid for 2018 index value percent
Figure BDA0002311823710000132
Figure BDA0002311823710000141
In order to make the scoring scientific and objective, 2 engineers in the institute of electric power planning who pay attention to the research in the energy field for years are invited to score and evaluate in the example, and the evaluation of the order relationship is shown in table 6:
table 6 order relation expert scoring table
Figure BDA0002311823710000142
According to the G1 subjective weighting algorithm, the subjective weighting of 2 experts on each index of the rural network is shown in table 7:
TABLE 7 expert subjective weighting results
Figure BDA0002311823710000151
Figure BDA0002311823710000161
And carrying out weighted average on the subjective results, and multiplying the weighted average by the percentage result to obtain a total evaluation result of the multi-index comprehensive evaluation method for the 'two networks integration' construction in a certain rural area, wherein the total evaluation result is 41.15 points.

Claims (4)

1. The multi-index evaluation method for two-network fusion is characterized by comprising the following steps of:
the method comprises the following steps: establishing a rural power grid two-network fusion construction foundation evaluation index system by using an analytic hierarchy process, and performing normalization processing on indexes by using a normalization processing method;
step two: carrying out subjective weight calculation on each index by a sequence relation analysis method to obtain the subjective weight of each index;
step three: and finally, combining the subjective weight and the objective weight to construct a comprehensive weight system to obtain a rural power grid and two-network fusion construction multi-index comprehensive evaluation system.
2. The two-network fused multi-index evaluation method according to claim 1, wherein the first step further comprises:
a method for establishing a rural power grid two-network fusion construction foundation evaluation index system is established.
3. The two-network fused multi-index evaluation method according to claim 1, wherein the second step comprises:
the method comprises the steps of sequencing indexes through different experts, determining sequence relation and relative importance degree among the indexes, then determining the subjective weight with the lowest relative importance degree, and sequentially calculating the subjective weights of other indexes by using a recurrence method to obtain a plurality of groups of subjective weights.
4. The two-network fused multi-index evaluation method according to claim 1, wherein the third step specifically comprises:
and weighting and averaging different subjective weights to obtain a final weight, and combining the final weight with a basic evaluation system to obtain the rural power grid two-network fusion construction multi-index comprehensive evaluation method.
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