Long-Term Market Competition Analysis for Hydropower Stations using SSDP-Games
Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 6
Abstract
With the development of the power market in China, the operation of hydropower stations will be changed significantly. In a competitive environment, each hydropower station or station group tries to improve its own net benefits, compared to maximizing a power grid-level objective with centralized scheduling. To analyze the impact of market reformation on hydropower operations, both noncooperative and cooperative sampling stochastic dynamic programing game (SSDP-game) models are proposed in this paper to obtain monthly operation policies under a competitive environment. The models are tested using data for the hydropower stations of Longtan, Xiaowan, and Goupitan and a hypothetical demand curve. The results show the potential increase in net benefits and potential energy loss of each station, along with the influential factors of the gaming approach. The seasonal regulation demands, typically addressed through firm power constraints, are better achieved through market competition, with 1.0%–5.0% energy losses at individual stations.
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Data Availability Statement
Some data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
The research work described in this paper is supported by the National Nature Science Foundation of China (51679027, 91647113, and 91547201).
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Journal of Water Resources Planning and Management
Volume 146 • Issue 6 • June 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Dec 21, 2018
Accepted: Nov 4, 2019
Published online: Mar 30, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 30, 2020
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