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Two-stage power distribution network planning method based on genetic algorithm

A technology of distribution network planning and genetic algorithm, applied in the field of two-stage distribution network planning method and device based on genetic algorithm, can solve the problems of low search efficiency and high cost of planning scheme

Pending Publication Date: 2020-10-16
LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER
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Problems solved by technology

[0004] In order to overcome the following shortcomings of the existing distribution network planning methods: easy to fall into local optimum, low search efficiency, and high cost of the obtained planning scheme

Method used

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  • Two-stage power distribution network planning method based on genetic algorithm
  • Two-stage power distribution network planning method based on genetic algorithm
  • Two-stage power distribution network planning method based on genetic algorithm

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Embodiment Construction

[0071] The present invention is described in further detail now in conjunction with accompanying drawing, and these accompanying drawings all are simplified schematic diagrams, only illustrate the basic structure of the invention in schematic mode, so it only shows the formation relevant to the present invention.

[0072] Such as figure 1 As shown, this embodiment discloses a two-stage distribution network planning method based on a genetic algorithm, which is used for a distribution network planning area including 15 load nodes and one power point. The node positions are as follows figure 1 As shown, node 0 is the power point, and nodes 1 to 15 are load nodes, which are powered by the power point. The node loads and locations are shown in Table 1. The parameters of the wires to be selected are shown in Table 2. The planning parameters involved in the calculation example are as follows: power loss price is 0.4 yuan / (kW·h), planning period is 10 years, annual average electric...

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Abstract

The invention discloses a two-stage power distribution network planning method based on a genetic algorithm, and belongs to the technical field of power distribution network frame planning. The implementation method comprises the following steps of optimizing a solution obtained by the first-stage genetic algorithm by adopting a second-stage dynamic adjustment iteration mode; optimizing an optimization scheme obtained by the first-stage genetic algorithm; obtaining effective information by fully utilizing a genetic algorithm; grading a to-be-planned line according to the occurrence frequency of the to-be-planned line in the initial scheme; providing correct criteria for edge adding and deleting operation in the second stage, regarding connected to-be-planned line lines as sub-trees, carrying out unified operation in the dynamic adjustment process such that excellent sub-trees can be found and stored in the algorithm in the second-stage dynamic adjustment process, the searching efficiency is improved, and a power distribution network planning scheme with lower cost is obtained. According to the method, the defect that an existing power distribution network planning method is prone to falling into local optimum can be overcome, and optimal power distribution network planning meeting constraint conditions is achieved on the basis that the search efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of distribution network grid planning, and in particular relates to a two-stage distribution network planning method and device based on a genetic algorithm. Background technique [0002] With the rapid development of the global economy, all walks of life have an increasing demand for electric energy. As an important carrier of electric energy transmission, distribution network is particularly important to plan and optimize its structure before investment and construction. [0003] For distribution grid planning, which is a discrete, multi-constraint, nonlinear, multi-objective combinatorial optimization problem, it is difficult to obtain satisfactory results by using general mathematical methods. At present, many heuristic algorithms have been applied to the problem of distribution network planning, and have achieved good results, among which the effect of genetic algorithm is the most outstanding. However...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/12G06F30/18G06F30/27G06F111/06G06F113/04
CPCG06Q10/04G06Q10/0637G06Q50/06G06N3/126G06F30/18G06F30/27G06F2111/06G06F2113/04
Inventor 刘永强孙远名王雅静马中静邵云峰赵江伟赵扬冯秀丽李皓王进高虹
Owner LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER
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