Reactive Power Optimization Avoiding Over Compensation Based On Improved Particle Swarm Optimization

DOI

10.2991/icibet-14.2014.66How to use a DOI?

Keywords

reactive power optimization, improved particle swarm algorithm, over compensation

Abstract

Improved particle swarm optimization algorithm was applied to power system reactive power optimization overcomes the traditional particle swarm optimization algorithm’s problems, which are easy to fall into local optimum and with low precision. At the same time in the process of operation, this paper proposes a limit on the compensation capacity with dynamic adjustment to avoid over compensation. The proposed algorithm has been successfully applied to IEEE6 bus system, and the comparative results show that active loss and voltage levels have significant improvement.

Copyright

© 2014, 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  - Jianfeng Wang
AU  - Tieyuan Xiang
AU  - Weijian Jin
PY  - 2014/02
DA  - 2014/02
TI  - Reactive Power Optimization Avoiding Over Compensation Based On Improved Particle Swarm Optimization
BT  - Proceedings of the 2014 International Conference on Information, Business and Education Technology
PB  - Atlantis Press
SP  - 249
EP  - 252
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet-14.2014.66
DO  - 10.2991/icibet-14.2014.66
ID  - Wang2014/02
ER  -