Transformer substation automatic site selection method based on multi-condition constraints

Abstract

The invention relates to a transformer substation automatic site selection method based on multi-condition constraints. The method comprises the following steps: (1) data classification and optimization processing; consistent factors are divided into two types, namely transformer substation forbidden zone land factors and transformer substation site selection buildable zone factors, and then dataoptimization is carried out according to data specifications, so that the data is kept consistent in terms of contents such as space reference and the like. And (2) candidate region generation. Firstly, gradient analysis is performed to obtain a gradient area suitable for station building; combining all the forbidden regions to obtain a forbidden region; and finally, subtracting the forbidden areafrom the proper slope area to obtain candidate area data. And (3) refined screening based on the size of the transformer substation. And selecting a candidate area capable of accommodating the size of the substation. And (4) suitability comprehensive evaluation based on an analytic hierarchy process. And comprehensively evaluating the candidate regions, and sorting the candidate regions accordingto the fitness, thereby obtaining the candidate region with optimal evaluation. The invention aims to overcome the defects of the existing station selection method, refine the work of macroscopic site selection and realize microscopic station selection, thereby being beneficial to solving the station selection problem.

Description

technical field [0001] The invention relates to the field of site selection for power system substations, in particular to an automatic site selection method for substations based on multi-condition constraints. Background technique [0002] Substation site selection is a very important task in power grid planning. Its spatial layout is related to the economy and rationality of power grid planning, and it must also meet the planning requirements of meteorology, economy, environment, and society, which will affect the future. With the expansion and improvement of the power grid structure, how to scientifically and effectively select the substation site has always been a hot issue in the industry. [0003] The current method of substation site selection mainly focuses on the analysis of macro resource allocation problems, that is, site selection on a large scale to achieve optimal benefits, including classical mathematical optimization algorithms, heuristic algorithms, and art...

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Problems solved by technology

Classical mathematical optimization algorithms include mixed integer programming, linear programming, shortest path algorithm, etc. When these methods deal with situations with large dimensions, it is difficult to obtain the optimal solution within a limited time, and the actual application effect is poor

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