CN112862378A - Gridding-based comprehensive evaluation method for power distribution network planning - Google Patents
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Abstract
The invention discloses a comprehensive evaluation method for power distribution network planning based on meshing; the method comprises the following steps: s1, acquiring a current network frame of the power distribution network of the area to be planned; s2, establishing a gridding ideal network topology; s3, establishing a plurality of power distribution network planning schemes; s4, respectively calculating comprehensive evaluation indexes of each power distribution network planning scheme according to the power distribution network planning schemes; s5, calculating the weight of each index in each comprehensive evaluation index according to an entropy weight method; and S6, calculating the positive ideal closeness of each power distribution network planning scheme by adopting a TOPSIS method. The application of the invention can comprehensively evaluate the reliability and economy of the power supply of the medium-voltage distribution network, lay a foundation for the optimization of the construction mode and the investment scheme of the power distribution network, and promote the reasonable and scientific development of the power distribution network.
Description
Technical Field
The invention relates to the technical field of power distribution network planning, in particular to a comprehensive evaluation method for power distribution network planning based on meshing.
Background
The power supply reliability refers to the capability of a power supply system for continuously supplying power to users, is an important index for evaluating the power quality of the power supply system, reflects the satisfaction degree of the power industry on national economic power requirements, and becomes one of the standards for measuring the developed degree of national economy; in an electric power system, a distribution network plays an important role in distributing electric energy and is a bridge between a power supply enterprise and users.
On one hand, the new round of optimization and transformation of the power distribution network improves the power supply reliability and power supply capacity, meets the requirements of load increase and urban development,
on the other hand, the urban electric quantity is slowly increased, and the investment economic benefits of the power distribution network cannot be reflected.
Under the background of high power supply reliability and gradual increase of electric quantity in cities, the influence of factors such as a power distribution network frame, equipment configuration, intelligent level and operation and maintenance management level on the investment economy of the power distribution network needs to be considered in the planning and construction of the power distribution network, and more refined and systematic analysis needs to be carried out on the coordination of the power supply reliability and the investment economy of the power distribution network.
However, the existing comprehensive evaluation method for power distribution network planning does not consider factors such as a power distribution network frame, equipment configuration, intelligent level and operation and maintenance management level, so that the evaluation result is easy to be inaccurate, and the benefit of the power distribution network planning scheme is finally influenced.
Therefore, how to solve the problem that the evaluation result is inaccurate due to incomplete evaluation consideration in the conventional grid-based comprehensive evaluation method for power distribution network planning becomes a technical problem which needs to be solved by technical personnel in the field.
Disclosure of Invention
In view of the defects in the prior art, the invention provides a comprehensive evaluation method for power distribution network planning based on meshing, and aims to solve the problem that the evaluation result is inaccurate due to incomplete evaluation consideration in the conventional comprehensive evaluation method for power distribution network planning based on meshing.
In order to achieve the purpose, the invention discloses a comprehensive evaluation method for power distribution network planning based on meshing; the method comprises the following steps:
s1, acquiring a current network frame of the power distribution network of the area to be planned;
s2, establishing a gridding ideal network topology;
s3, establishing a plurality of power distribution network planning schemes;
s4, respectively calculating comprehensive evaluation indexes of each power distribution network planning scheme according to the power distribution network planning schemes;
s5, calculating the weight of each index in each comprehensive evaluation index according to an entropy weight method;
and S6, calculating the positive ideal closeness of each power distribution network planning scheme by adopting a TOPSIS method.
Preferably, the step of establishing a meshed ideal network topology is as follows:
s21, according to the current net rack, combining the layout conditions of the transformer substation, the switch station and the current line in the area to be planned;
and S22, abstracting the current net rack into a gridded ideal network topology.
Preferably, the step of establishing the plurality of power distribution network planning schemes is to determine the plurality of power distribution network planning schemes according to boundary conditions of the area to be planned;
wherein the boundary conditions comprise the load density and the load utilization hours of the area to be planned.
Preferably, the step of calculating the weight of each index in each comprehensive evaluation index according to an entropy weight method is as follows:
s51, constructing a judgment matrix of each scheme evaluation index in the planning level year;
s52, carrying out normalization processing on the judgment matrix to obtain a normalized judgment matrix;
s53, determining the entropy of the comprehensive evaluation index according to the definition of the entropy and the comprehensive evaluation index of the corresponding power distribution network planning scheme;
s54, defining the entropy weight of the entropy of the comprehensive evaluation index; after the entropy of the nth comprehensive evaluation index is defined, the entropy weight of the nth comprehensive evaluation index can be obtained; and taking the entropy weight as the value of the weight of the corresponding comprehensive evaluation index.
More preferably, after the weights of the indexes in the comprehensive evaluation index are calculated by the entropy weight method, the following steps are executed;
s55, multiplying the weight of each index by a dimensionless decision matrix to obtain a weighted decision matrix;
the weighting decision matrix R adopts the following formula:
R＝(rij)m×n；
rij＝wj·vij(i＝1，2，...，m；j＝1，2，...，n)
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; w is ajDenotes the jth index weight, vijRepresenting the jth parameter of the ith row in the non-dimensionalized matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
More preferably, the step of calculating the positive ideal closeness of each power distribution network planning scheme by using the TOPSIS method is as follows:
s61, calculating a positive ideal solution and a negative ideal solution according to the weighted decision matrix;
s62, calculating the distance between each power distribution network planning scheme and the positive ideal solution and the negative ideal solution;
and S63, calculating the relative closeness of each power distribution network planning scheme and the positive ideal solution.
More preferably, the positive ideal solution
The calculation formula of (a) is as follows:
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; n is the number of evaluation indexes.
The negative ideal solution
The calculation formula of (a) is as follows:
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; n is the number of evaluation indexes.
More preferably, the distance between the power distribution network planning scheme and the ideal solution is
The calculation formula of (a) is as follows:
wherein the content of the first and second substances,
to solve the ideal, rijThe jth parameter of the ith row in the weighted decision matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
Distance between the power distribution network planning scheme and the negative ideal solution
The calculation formula of (a) is as follows:
wherein the content of the first and second substances,
is a negative ideal solution, rijThe jth parameter of the ith row in the weighted decision matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
More preferably, the relative closeness η of each power distribution network planning scheme to the positive ideal solutioniThe calculation formula of (a) is as follows:
wherein the content of the first and second substances,
planning a distance between the scheme and the ideal solution for the power distribution network;
and m is the number of planning schemes to be evaluated.
The invention has the beneficial effects that:
the application of the invention can comprehensively evaluate the reliability and economy of the power supply of the medium-voltage distribution network, lay a foundation for the optimization of the construction mode and the investment scheme of the power distribution network, and promote the reasonable and scientific development of the power distribution network.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 shows a flow chart of an embodiment of the present invention.
FIG. 2 illustrates a flow diagram for establishing a meshed ideal network topology in one embodiment of the invention.
FIG. 3 is a flow chart illustrating a method for calculating weights of the indicators of each composite evaluation according to an entropy weighting method in an embodiment of the present invention.
Fig. 4 shows a flowchart of calculating a positive ideal closeness of each power distribution network planning scheme by using the TOPSIS method in an embodiment of the present invention.
Fig. 5 is a schematic diagram of a current grid structure according to an embodiment of the present invention.
Fig. 6 shows a schematic diagram of a dual ring network scheme in an embodiment of the present invention.
Fig. 7 shows a schematic diagram of a single ring network scheme in an embodiment of the present invention.
Fig. 8 shows a schematic diagram of an 80% double loop scheme in an embodiment of the invention.
Fig. 9 shows a schematic diagram of a 60% double loop scheme in an embodiment of the invention.
Detailed Description
Example 1
As shown in fig. 1, the comprehensive evaluation method for power distribution network planning based on gridding includes the following steps:
s1, carrying out investigation on the distribution network of the area to be planned to obtain a current net rack;
s2, establishing a gridding ideal network topology;
s3, inputting a power distribution network planning scheme;
s4, respectively calculating comprehensive evaluation indexes of each scheme according to the planning scheme;
s5, calculating the weight of each index in the evaluation index system according to an entropy weight method;
and S6, calculating the positive ideal closeness of each scheme by adopting a TOPSIS method.
By comprehensively evaluating the reliability and the economy of the power supply of the medium-voltage distribution network, the invention can lay a foundation for the optimization of the construction mode and the investment scheme of the power distribution network and promote the reasonable and scientific development of the power distribution network.
Specifically, in S4, in the step of calculating the comprehensive evaluation index of each scheme according to the planning scheme, the following table index is calculated for each scheme according to the to-be-selected power distribution network planning schemes.
In some embodiments, the step of establishing a meshed ideal network topology is as follows:
s21, according to the current net rack, combining the layout conditions of the transformer substation, the switch station and the current line in the area to be planned;
and S22, abstracting the current net rack into a gridded ideal network topology.
In some embodiments, the step of establishing the plurality of power distribution network planning schemes is to determine the plurality of power distribution network planning schemes according to boundary conditions of an area to be planned;
wherein the boundary conditions comprise the load density and the load utilization hours of the area to be planned.
As shown in fig. 6 to 9, in some embodiments, each power distribution network planning scheme includes a dual-ring network scheme, a single-ring network scheme, an 80% dual-ring network scheme, and a 60% dual-ring network scheme.
As shown in fig. 3, the step of calculating the weight of each index by the entropy weight method includes:
s51, constructing a judgment matrix of each scheme evaluation index in the planning level year;
s52, carrying out normalization processing on the judgment matrix to obtain a normalized judgment matrix;
s53, determining the entropy of the evaluation index according to the definition of the entropy and the evaluation index of each scheme;
s54, defining an entropy weight, and obtaining the entropy weight of the nth index after defining the entropy of the nth index, wherein the entropy weight is used as a weight value of the index;
s55, multiplying the weight average of each index by a dimensionless decision matrix to obtain a weighted decision matrix;
it should be noted that the weighting decision matrix R adopts the following formula:
R＝(rij)m×n
wherein r isijIs the ith row jth parameter in the weighted decision matrix, rij＝wj·vij(i 1, 2.. multidot.m; j 1, 2.. multidot.n), where wjRepresenting the jth index weight, wherein an index weight set w is calculated by an entropy weight method, and vijRepresents the jth parameter in the ith row of the non-dimensionalized matrix.
Wherein (a) forms a decision matrix
The scheme set of the multi-index decision problem participating in evaluation is set as M ═ M (M1,M2,…,Mm) The index set is D ═ D (D)1,D2,…,Dn) Scheme MiFor index DjIs denoted as xij(i 1, 2.. multidot.m, j 1, 2.. multidot.n), the decision matrix X formed is:
(b) dimensionless decision matrix
In order to eliminate the influence of different index dimensions on the scheme decision, the decision matrix needs to be subjected to non-dimensionalization processing.
(c) Constructing a weighted decision matrix
The respective index weights W are multiplied by a dimensionless matrix V. Obtaining a weighted decision matrix R ═ (R)ij)m×n：
rij＝wj·vij(i＝1,2,...,m；j＝1,2,...,n) (2)
In the formula: w is ajIs the weighted value of each index.
As shown in fig. 4, the step of calculating the positive ideal closeness of each scheme by using the TOPSIS method includes:
s61: calculating a positive ideal solution and a negative ideal solution according to the weighted decision matrix;
s62: calculating the distance between each scheme and the positive ideal solution and the negative ideal solution;
s63: calculating the relative closeness of each scheme and the positive ideal solution;
ideal solution
The calculation formula of (a) is as follows:
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; n is the number of evaluation indexes.
Negative ideal solution
The calculation formula of (a) is as follows:
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; n is the number of evaluation indexes.
Distance between distribution network planning scheme and positive ideal solution
The calculation formula of (a) is as follows:
wherein the content of the first and second substances,
to solve the ideal, rijThe jth parameter of the ith row in the weighted decision matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
Distance between power distribution network planning scheme and negative ideal solution
The calculation formula of (a) is as follows:
wherein the content of the first and second substances,
is a negative ideal solution, rijThe jth parameter of the ith row in the weighted decision matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
Relative closeness eta of each power distribution network planning scheme and positive ideal solutioniThe calculation formula of (a) is as follows:
wherein the content of the first and second substances,
planning the distance between the scheme and the ideal solution for the power distribution network;
and m is the number of planning schemes to be evaluated.
ηiThe larger the decision scheme i is, the closer to the positive ideal solution, the better the scheme.
And further calculating according to the weighted decision matrix and a TOPSIS method, so as to obtain the relative closeness of each scheme to the ideal solution, and sequencing according to the relative closeness to obtain the final comprehensive evaluation sequencing result of the power supply reliability and the economy of the power distribution network.
Example 2
As shown in fig. 6, a current situation and a planned site layout of a typical grid in Shanghai city are that the current situation grid is powered by 2 35kV substations and 1 110kV substation, a developed area of the current situation grid is concentrated on the upper left, 13 switch stations are used for supplying power to loads, an area to be developed is mainly concentrated on the lower left, and 1 110kV substation and 12 switch stations are planned to be newly built in a distant view to supply power to the grid, and the comprehensive evaluation method for power distribution network planning based on meshing includes the following steps:
(1) establishing a meshed ideal network topology according to the current net rack
The situation of the current distribution network of the area to be planned is investigated, and the distribution network is abstracted into a gridded ideal network topology by combining the layout situations of substations, switchyards and current lines in the actual area. The current rack structure is shown in fig. 3, and there are 5 sets of single ring network connection wires.
(2) Input power distribution network planning scheme
According to boundary conditions such as regional load density and load utilization hours, 4 power distribution network planning schemes are determined, the 4 power distribution network planning schemes are divided into a double-ring network scheme, a single-ring network scheme, an 80% double-ring network scheme and a 60% double-ring network scheme, and the 4 power distribution network planning schemes are shown in fig. 6 to 9.
(3) And respectively calculating the comprehensive evaluation indexes of the schemes according to the planning schemes.
And respectively calculating comprehensive evaluation indexes aiming at each scheme according to 4 power distribution network planning schemes to be selected.
(4) And calculating the weight of each index in the evaluation index system according to an entropy weight method.
The evaluation index value of each scheme under the evaluation index system is determined by an entropy weight method, and the obtained result is shown in the following table.
(5) Calculating the positive ideal closeness of each scheme by adopting TOPSIS method
After determining the weight vector based on the entropy weight method, the TOPSIS method is adopted to carry out comprehensive evaluation on the planning scheme. The closeness of each protocol is obtained as shown in the table below. It can be seen that scheme 1, i.e. the closeness of the double loop network is closest to 1 and is therefore the optimal scheme.
| Evaluation results of the protocol | Scheme 1 | Scheme 2 | Scheme 3 | Scheme 4 |
| topSIS closeness | 0.87 | 0.15 | 0.84 | 0.67 |
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A comprehensive evaluation method for power distribution network planning based on gridding; the method comprises the following steps:
s1, acquiring a current network frame of the power distribution network of the area to be planned;
s2, establishing a gridding ideal network topology;
s3, establishing a plurality of power distribution network planning schemes;
s4, respectively calculating comprehensive evaluation indexes of each power distribution network planning scheme according to the power distribution network planning schemes;
s5, calculating the weight of each index in each comprehensive evaluation index according to an entropy weight method;
and S6, calculating the positive ideal closeness of each power distribution network planning scheme by adopting a TOPSIS method.
2. The comprehensive evaluation method for power distribution network planning based on meshing of claim 1, wherein the step of establishing a meshed ideal network topology is as follows:
s21, according to the current net rack, combining the layout conditions of the transformer substation, the switch station and the current line in the area to be planned;
and S22, abstracting the current net rack into a gridded ideal network topology.
3. The comprehensive evaluation method for power distribution network planning based on meshing of claim 1, wherein the step of establishing a plurality of power distribution network planning schemes comprises determining a plurality of power distribution network planning schemes according to boundary conditions of the area to be planned;
wherein the boundary conditions comprise the load density and the load utilization hours of the area to be planned.
4. The comprehensive evaluation method for power distribution network planning based on meshing of claim 3, wherein each of the power distribution network planning schemes comprises a double-ring network scheme, a single-ring network scheme, an 80% double-ring network scheme and a 60% double-ring network scheme.
5. The comprehensive evaluation method for power distribution network planning based on meshing of claim 1, wherein the step of calculating the weight of each index in each comprehensive evaluation index according to an entropy weight method comprises the following steps:
s51, constructing a judgment matrix of each scheme evaluation index in the planning level year;
s52, carrying out normalization processing on the judgment matrix to obtain a normalized judgment matrix;
s53, determining the entropy of the comprehensive evaluation index according to the definition of the entropy and the comprehensive evaluation index of the corresponding power distribution network planning scheme;
s54, defining the entropy weight of the entropy of the comprehensive evaluation index; after the entropy of the nth comprehensive evaluation index is defined, the entropy weight of the nth comprehensive evaluation index can be obtained; and taking the entropy weight as the value of the weight of the corresponding comprehensive evaluation index.
6. The comprehensive evaluation method for power distribution network planning based on meshing of claim 5, wherein the following steps are executed after the weight of each index in the comprehensive evaluation index is calculated by the entropy weight method;
s55, multiplying the weight of each index by a dimensionless decision matrix to obtain a weighted decision matrix;
the weighting decision matrix R adopts the following formula:
R＝(rij)m×n；
rij＝wj·vij(i＝1，2，...，m；j＝1，2，...，n)
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; w is ajThe weight of the jth index is represented,vijrepresenting the jth parameter of the ith row in the non-dimensionalized matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
7. The comprehensive evaluation method for power distribution network planning based on meshing of claim 6, wherein the step of calculating the positive ideal closeness of each power distribution network planning scheme by adopting a TOPSIS method comprises the following steps:
s61, calculating a positive ideal solution and a negative ideal solution according to the weighted decision matrix;
s62, calculating the distance between each power distribution network planning scheme and the positive ideal solution and the negative ideal solution;
and S63, calculating the relative closeness of each power distribution network planning scheme and the positive ideal solution.
8. The comprehensive evaluation method for power distribution network planning based on meshing of claim 7, wherein the positive ideal solution
The calculation formula of (a) is as follows:
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; n is the number of evaluation indexes.
The positive ideal solution
The calculation formula of (a) is as follows:
wherein r isijThe jth parameter of the ith row in the weighted decision matrix; n is the number of evaluation indexes.
9. The comprehensive evaluation method for power distribution network planning based on meshing of claim 7, wherein the distance between the power distribution network planning scheme and the ideal solution is
The calculation formula of (a) is as follows:
wherein the content of the first and second substances,
to solve the ideal, rijThe jth parameter of the ith row in the weighted decision matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
Distance between the power distribution network planning scheme and the negative ideal solution
The calculation formula of (a) is as follows:
wherein the content of the first and second substances,
is a negative ideal solution, rijThe jth parameter of the ith row in the weighted decision matrix; m is the number of planning schemes to be evaluated; n is the number of evaluation indexes.
10. The comprehensive evaluation method for power distribution network planning based on meshing of claim 7, wherein the relative closeness η of each power distribution network planning scheme to the positive ideal solutioniThe calculation formula of (a) is as follows:
wherein the content of the first and second substances,
planning a distance between the scheme and the ideal solution for the power distribution network;
and m is the number of planning schemes to be evaluated.
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