Optimal reservoir operation in electric power market transaction model

DOI

10.2991/ifeesd-16.2016.60How to use a DOI?

Keywords

Power market; Reservoir operation; Particle swarm optimization algorithm; Improved particle swarm optimization algorithm; Peak and off-peak electricity price.

Abstract

Electric power market transaction is one of the important measures for the reform of the electric power system in China. In this paper, the characteristics of the optimal reservoir scheduling in the electric power market transaction model are analyzed, and the optimal operation model of the reservoir is established. Based on the standard particle swarm optimization, the improved particle swarm optimization algorithm is proposed, which is based on the improvement of the inertia factor, the acceleration factor and the iteration speed. Taking Qingxi Reservoir, which locates in Meizhou City, Guangdong Province, as an example, the annual benefits under the off-peak electricity price in the dry, normal and wet year are increased by 1.42%, 19.49% and 15.85% respectively. The results show that the annual benefit based on the off-peak electricity price of hydropower station is significantly higher than that of monovalent system. The study results can be used to solve electric power market transaction mode water reservoir optimization dispatching strategy.

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  - Yingqin Chen
PY  - 2016/05
DA  - 2016/05
TI  - Optimal reservoir operation in electric power market transaction model
BT  - Proceedings of the 2016 International Forum on Energy, Environment and Sustainable Development
PB  - Atlantis Press
SP  - 349
EP  - 355
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesd-16.2016.60
DO  - 10.2991/ifeesd-16.2016.60
ID  - Chen2016/05
ER  -