MATEC Web Conf.
Volume 246, 20182018 International Symposium on Water System Operations (ISWSO 2018)
|Number of page(s)||5|
|Section||Main Session: Water System Operations|
|Published online||07 December 2018|
A random gradient based Harmony search algorithm for long-term hydropower scheduling in the lower of Jinsha River Basin
1 Hubei Provincial Key Laboratory of Basin Water Resources and Ecological Environment, Changjiang River Scientific Research Institute, Wuhan, China, 430010, China
2 Changjiang River Scientific Research Institute of Changjiang Water Resources Commission, Wuhan 430010, China
3 School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
* Corresponding author: Jinjun Xu, Email:email@example.com
The long-term hydropower generation scheduling (LHGS) is one of the most important problems which aim to obtain a suitable scheme to maximize electrical benefits. In this paper, a gradient based Harmony search algorithm (GHS) is employed on the optimization of the cascade hydropower stations in the Jinsha River. Firstly, the original Harmony search algorithm (HS) is firstly improved by a dynamically adjustment strategy and global pitch adjustment strategy. Then random gradient strategy is adopted to improve the search speed of HS. In case study, the proposed GHS is used to solve the LHGS problem in the Jinsha River. Results show that GHS is effectiveness when dealing with LHGS problems.
© The Authors, published by EDP Sciences, 2018
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