Weighting Voronoi diagram substation planning method based on chaotic and genetic strategy

A technology of substation planning and chaotic inheritance, applied in genetic models, instruments, data processing applications, etc., can solve problems such as slow convergence speed, uncontrollable initial value sensitive substation load rate, poor local optimization ability, etc.

Inactive Publication Date: 2013-06-05
TIANJIN UNIV
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Problems solved by technology

[0005] The present invention aims to overcome the deficiencies of the prior art, and overcome the unreasonable and uncontrollable planned substation load rate caused by the slow convergence speed of the previous algorithm, poor local optimization ability, sensitive initial value and premature phenomenon, and the use of nearby distribution for power supply

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  • Weighting Voronoi diagram substation planning method based on chaotic and genetic strategy
  • Weighting Voronoi diagram substation planning method based on chaotic and genetic strategy
  • Weighting Voronoi diagram substation planning method based on chaotic and genetic strategy

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Embodiment Construction

[0075] this invention:

[0076] 1. Calculate the weight according to the capacity of the substation and its load distribution. On the basis of improving the weight calculation, add the load rate adaptive control process to form a substation planning method with a weighted Voronoi diagram whose weight can be adaptively adjusted.

[0077] 2. Combining the weighted Voronoi diagram method and the genetic algorithm, the weighted Voronoi diagram substation site selection of the optimal genetic algorithm is realized.

[0078] 3. Introduce the idea of ​​chaos, solve the premature problem of genetic algorithm, make the planning result more optimal, and realize the weighted Voronoi diagram substation site selection method based on chaotic genetic algorithm.

[0079] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0080] 1. The maximum load rate of the substation under the "N-1" principle is shown in Table 1...

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Abstract

The invention relates to the field of electric systems and discloses a weighting Voronoi diagram substation planning method based on a chaotic and genetic strategy. The method aims at solving the problems that a prior algorithm is low in rate of convergence, poor in capacity of local optimization and sensitive in initial value, premature convergence exists, the unreasonable phenomenon caused by division of power-supply districts according to the principle of proximity exists, the load rate of a planned substation can not be controlled, and the like, and optimizing site selection of the substation and division of the power-supply districts by means of certain algorithms. The method comprises the steps of setting parameters; chaotic initialization and generating initial population including N individuals; carrying out the site selection of the substation and load distribution on the N individuals; judging whether end criterion is satisfied; calculating the fitness variance sigma 2 of the population; chaotic search; and executing and saving an optimized genetic algorithm and then returning to the fourth step. The weighting Voronoi diagram substation planning method based on the chaotic and genetic strategy is mainly applicable to the electric systems.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a weighted Voronoi diagram substation planning method based on a chaotic genetic strategy. Background technique [0002] In urban power grid development planning, the location, capacity and power supply scope planning of high-voltage power distribution substations are related to the spatial layout, grid structure and load level of the regional power grid to be planned in the future. In my country, where land resources are becoming more and more tense Under such circumstances, scientific and reasonable substation spatial layout planning and corresponding station site land reservation are important issues related to the future sustainable development of the planned area, and are of great significance. [0003] The substation planning problem is a large-scale nonlinear optimization problem with multiple variables and objectives. The existing methods can be roughly divided into three cate...

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Application Information

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IPC IPC(8): G06N3/12G06Q50/06
Inventor 路志英葛少云程亮
Owner TIANJIN UNIV
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