CPSO algorithm based parameter optimization for power system damping controllers

DOI

10.2991/mmebc-16.2016.444How to use a DOI?

Keywords

power system; damping controller; CPSO (chaotic particle swarm optimization);

Abstract

Wide-area PSS (power system stabilizer) and HVDC (High voltage direct current) modulation are effective damping controllers in power system. With conventional parameter tuning method, the damping of the non-dominate modes would be impaired or new poor damping mode would be triggered. In this paper, the CPSO (chaotic particle swarm optimization) algorithm is used to tune the parameters of damping controller. The aim of the optimization is to provide desired damping ratio for all oscillation modes. A case study verifies the effectiveness of the proposed parameter optimization method.

Copyright

© 2016, 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  - Xi Wang
AU  - Pengfei Hu
PY  - 2016/06
DA  - 2016/06
TI  - CPSO algorithm based parameter optimization for power system damping controllers
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 2219
EP  - 2222
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.444
DO  - 10.2991/mmebc-16.2016.444
ID  - Wang2016/06
ER  -