Cascade Reservoir Optimal Operation Based On Chaotic Particle Swarm Optimization

DOI

10.2991/jimec-17.2017.95How to use a DOI?

Keywords

particle swarm optimization; chaotic search; cascade reservoir; optimal operation

Abstract

In order to solve the cascade reservoir system scheduling, this paper proposed a novel cascade reservoir optimal operation model based on chaotic particle swarm optimization (CPSO) algorithm. The traditional particle swarm algorithm is improved by using the nature of chaos sequence including the quasi-stochastic property and ergodicity, which can avoid particle swarm optimization (PSO) algorithm into local optimum and improve the speed and precision of the particle optimization process. The case study in the Upper Yellow River showed that the proposed model was capable of cascade reservoir optimal operation.

Copyright

© 2017, 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  - Dunyu Zhong
AU  - Zengchuan Dong
AU  - Yan Zhao
AU  - Wei Xu
AU  - Xike Guan
PY  - 2017/10
DA  - 2017/10
TI  - Cascade Reservoir Optimal Operation Based On Chaotic Particle Swarm Optimization
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 432
EP  - 435
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.95
DO  - 10.2991/jimec-17.2017.95
ID  - Zhong2017/10
ER  -