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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)

Abstract:

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.

 

References: 12

  1. C. Liu and G. C. Cao, “Calculation of Fault Electrical Quantity in Parallel Setting Calculation of Relay Protection in Large Power Network,” Power System Protection and Control, Vol. 35, No. 3, pp. 15-19, 2007
  2. J. Xie, D. Y. Shi, Z. L. Yang, et al., “A Relay Protection Online Checking and Warning System based on Multi-Agent System,” Power System Automation, Vol. 31, No. 13, pp. 77-82, 2007
  3. Y. Lv, W. Z. Wu, B. M. Zhang, et al., “Development and Practice of On-Line Setting System for Power Network Protection and Value Setting,” Power Grid Technology, 2008
  4. X. Chen, F. P. Lu, K. Jiang, et al., “Intelligent Power Grid Relay Protection on-Line Setting System based on Multi-Agent Technology,” Power System Protection and Control, Vol. 38, No. 18, pp. 167-173, 2010
  5. Z. P. Wang, G. P. Liu, X. D. Qiu, and X. L. Teng, “Realization of On-Line Setting Function of Relay Protection Setting,” Power System Protection and Control, Vol. 40, No. 1, pp. 127-130, 2012
  6. H. H. Sheng, C. Zhao, and H. L. Xi, “On-Line Control Scheme for Smart Grid Relay Protection Setting,” Electric Power System Automation, 2016
  7. F. Wu, “Study on Adaptive on-Line Setting System for Relay Protection,” North China University of Water Resources and Electric Power, 2016
  8. X. Jin, “Study on Adaptive Relay Protection Setting and Checking System for High Voltage Coal Mine Network,” Henan Polytechnic University, 2017
  9. X. L. Wang and M. M. Fu, “A Method of Short Circuit Current of Coalmine High Grid based on Parallel Computing,” Software Guide, Vol. 17, No. 6, 2018
  10. X. L. Wang, Z. W. Zhang, X. Jing, et al., “Self-Adaptive Tuning Calculation Method for Mine High-Voltage Power Grid with Single Bus and Multi-Section Operation,” China, 201610042724. 1, 2016-05-11
  11. F. S. Zhang, “Research on Dynamic Scheduling of Workshop based on Genetic Algorithms,” Shandong University, 2013
  12. B. W. Leng, “Research on Optimization of Minimum Reactive Power Loss of Power System based on Genetic Algorithm,” Chengdu University of Technology, 2017

 

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