Power distribution network planning scheme generation method based on genetic algorithm and GIS information

Abstract

The invention relates to a power distribution network planning scheme generation method based on a genetic algorithm and GIS information, and the method comprises the following steps: 1, analyzing a power distribution network GIS wiring diagram of a certain region, determining the length, the model, the line diameter, the power distribution position, the capacity, the switching station position and other information of a current power grid line in the region, and forming a current information database; 2, extracting information such as comprehensive pipe galleries and planning sites in combination with detailed planning or general regulations of a local area to form a planning information database; 3, determining investable elements, investable behaviors and reasonable value intervals of the investable elements and the investable behaviors in the region according to the information in the step 1 and the step 2; 4, generating a massive feasible power distribution network planning scheme set P = (P1, P2... Pn) by adopting a genetic algorithm; 5, establishing a power distribution network optimization model of power distribution network planning based on a genetic algorithm and GIS information; the method has the advantages that the structure is simple, the scheme is ensured to be practical, and the feasible scheme is quickly generated by taking the generation scheme construction cost as a constraint.

Description

technical field [0001] The invention belongs to the technical field of distribution network planning, in particular to a method for generating a distribution network planning scheme based on genetic algorithm and GIS information. Background technique [0002] In the traditional distribution network planning work, 2-3 distribution network planning schemes are formulated mainly based on manual experience, and the optimal scheme is selected through technical and economic comparison. With a large number of access to the distribution network, the shape of the distribution network has undergone major changes, and the source-grid-load-storage interaction, the distribution network planning scheme only considers a limited number of grid-side schemes is far from enough, and cannot accurately reflect the future power distribution It is difficult to effectively guide the construction of the distribution network, limited by factors such as time and manpower, and it is difficult to genera...

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Problems solved by technology

[0002] In the traditional distribution network planning work, mainly rely on manual experience to formulate 2-3 distribution network planning schemes, and select the optimal scheme through technical and economic comparison. A large number of access to the distribution network, major changes in the form of the distribution network, source-grid-load-storage interaction, the distribution network planning scheme only considers a limited number of grid-side schemes is far from enough, and cannot accurately reflect future power distribution It is difficult to effectively guide the construction of the distribution network due to the operating status of the distribution network. Due to the constraints of time, manpower and other factors, it is difficult to generate a large number of feasible source-network-load-storage distribution network planning schemes purely by manpower; therefore, to provide a structure It is very necessary to generate a distribution network planning scheme based on genetic algorithm and GIS information that is simple, ensures that the scheme is actually implemented, and is constrained by the construction cost of the scheme to generate a feasible scheme quickly.

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