Reactive power optimization of power system based on niching differential evolution algorithm

DOI

10.2991/isci-15.2015.312How to use a DOI?

Keywords

Reactive power optimization; differential evolution algorithm; niche; particle swarm optimization.

Abstract

Reactive power optimization is the non-linear integer problems, suitable reactive power compensation can reduce the transmission losses and guarantee the power system operate stability, safety and economy. The differential evolution algorithm is the intelligent evolutionary algorithm had fast and precision convergence. In this paper, improved differential evolution algorithm aiming at the model of reactive power optimization, and introduces the niche theory. Then to enhance the local search ability of algorithm and broaden the search range, the speed and precision of convergence has different degrees of improvement. At last, the paper selects several algorithms that acquire excellent results on reactive power optimization, and then compares algorithms to confirm advantage of improving the differential evolution algorithm.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiao Fei Zhang
AU  - Xiang Fu Guo
AU  - Li Hua Yuan
PY  - 2015/01
DA  - 2015/01
TI  - Reactive power optimization of power system based on niching differential evolution algorithm
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 2400
EP  - 2407
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.312
DO  - 10.2991/isci-15.2015.312
ID  - Zhang2015/01
ER  -