Clustering algorithm-based radial distribution network reactive power optimization method

A technology of clustering algorithm and optimization method, which is applied in reactive power compensation, reactive power adjustment/elimination/compensation, circuit devices, etc., can solve the problems of uneven distribution of compensation points and overlapping compensation ranges, and avoid the distribution of compensation points. uneven effect

Active Publication Date: 2016-08-17
UNIV OF JINAN +1
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Problems solved by technology

[0004] The purpose of the present invention is to solve the above problems, to provide a reactive power optimization method for radial distribution network based on clustering algorithm, using clustering algorithm to divide the distribution network into regions, the number of partitions is equal to the number of selected compensation points, and then Select compensation points in each area separately, avoiding problems such as uneven distribution of compensation points and overlapping compensation ranges

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  • Clustering algorithm-based radial distribution network reactive power optimization method
  • Clustering algorithm-based radial distribution network reactive power optimization method
  • Clustering algorithm-based radial distribution network reactive power optimization method

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0022] Such as figure 1 As shown, the reactive power optimization method of radial distribution network based on clustering algorithm includes the following steps,

[0023] Step 1: Construct a node association matrix A from the network topology of the distribution network. If the number of nodes in the distribution network is n, the matrix A = (a ij ) n×n is a symmetric matrix of order n×n, and each element in matrix A is defined as follows:

[0024]

[0025] Step two, obtain the electrical distance matrix D between each node by the known power network parameters and the correlation matrix A obtained in step one, matrix D=(d ij ) n×n It is also a symmetric matrix of order n×n, the element d in the matrix ij Indicates the distance between node i and node j, and the electrical distance is represented by the resistance value between the two nodes; ...

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Abstract

The invention discloses a clustering algorithm-based radial distribution network reactive power optimization method, which comprises the following steps: (1) constructing a node incidence matrix A by a network topology structure of a power distribution network; (2) determining an electrical distance matrix D between nodes by known electric power network parameters and the incidence matrix A obtained in the step (1); (3) preprocessing the distance matrix D to obtain a two-dimensional constructed map X, and clustering and grouping various coordinate points by a clustering algorithm; and (4) selecting a reactive power compensation point from each category group and carrying out optimal computation by a standard particle swarm algorithm. Region partition is carried out on the power distribution network by the clustering algorithm; the number of partitions is equal to that of selected compensation points; and then the compensation point is selected from each region, so that the problems of uneven compensation point distribution, overlapped compensation range and the like are solved.

Description

technical field [0001] The invention relates to a reactive power optimization method of a radial distribution network based on a clustering algorithm. Background technique [0002] Since the power distribution network has the characteristics of single power supply, radial shape and many branches, reasonable selection of compensation point location and compensation capacity can effectively avoid long-distance transmission of reactive power, so as to achieve the purpose of reducing network loss and improving voltage quality . As the distribution network structure becomes more and more complex, if the location of the compensation point and the size of the compensation capacity are optimized at the same time, the calculation amount is huge, the time is long, and it is easy to fall into the curse of dimensionality. [0003] So far, there are many methods for selecting compensation points, such as sensitivity analysis, reactive power precise moment and load power impedance moment...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/18
CPCH02J3/18H02J2203/20Y02E40/30
Inventor 程新功张敬婷宗西举李石清张静亮殷文月王洪玉
Owner UNIV OF JINAN
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