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Parallel Topology Analysis Method of Coal Mine High Voltage Power Grids based on Genetic Algorithm

Volume 15, Number 7, July 2019, pp. 1822-1828
DOI: 10.23940/ijpe.19.07.p8.18221828

Xinliang Wanga,b, Boqi Zhangc, Mengmeng Fuc, Zhihuai Liua, and Wei Fangd

aHami Yuxin Energy Industry Research Institute Co., Ltd., Hami, 839000, China
bSchool of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
cSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, 454000, China
dHami Vocational and Technical College, Hami, 839000, China


(Submitted on December 8, 2018; Revised on January 12, 2019; Accepted on February 10, 2019)


The existing topology analysis method based on correlation matrix for coal mine high voltage power grids has the problems of high time complexity and low computational efficiency. By introducing the first-come first-serve parallel scheduling algorithm into the above topology analysis method, the computational efficiency can be improved to a certain extent. Based on this, this paper further proposes an adaptive topology analysis algorithm for coal mine high voltage power grid based on the successive comparison method and genetic algorithm, which can further improve the parallel scheduling efficiency of topology analysis for coal mine high voltage power grids. The simulation results show that the adaptive topology analysis algorithm for coal mine high voltage power grid based on genetic algorithm can improve the computational efficiency and reduce the time overhead better than other algorithms can.


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