Multiobjective and Joint Operation Model for Multistakeholder Cascade Hydropower System
Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 11
Abstract
Involvement in the operation of a multiobjective and multistakeholder hydropower system requires balancing conflicting objectives and coordinating economic gains to achieve a win–win situation through joint operation. This study developed integrated models of multiobjective joint optimization and synergistic revenue allocation of multistakeholders to resolve conflicts. The multiobjective operation model coupled with the technique for order preference by similarity to ideal solution method determines a noninferior solution for compromising social (water delivery and flood control), and economic (energy production) objectives with the incorporation of the decision makers’ preference. Thereafter, a novel synergistic revenue allocation method based on the total differential equation (SRA-TD) is proposed. This method is used to systematically decompose the contribution of each stakeholder (reservoir) in the synergistic revenue through cooperation, thereby satisfying the principles of efficiency, rationality, and equity. The integrated models are applied to a hypothetical multistakeholder cascade hydropower system. Results are as follows: (1) The compromise solution selected from the multiobjective optimization operation results increases the firm water supply but reduces the energy production revenue without increasing flood storage compared with the benchmark solution (status quo). (2) The SRA-TD method decomposes the synergistic revenue contribution of each reservoir during each period and verifies its physical generation mechanism, thereby satisfying the basic principles of synergistic revenue allocation. (3) Last, the SRA-TD method comprehensively considers the dynamic effects of inflow conditions, reservoir characteristics, and topological structures of a reservoir system. The proposed method provides a viable alternative for promoting joint optimal operations in a multiobjective and multistakeholder cascade reservoir system.
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Data Availability Statement
All data used during in this study are available from the corresponding author by request.
Acknowledgments
This study is supported by the National Key Technologies R&D Program of China (Grant No. 2017YFC0405606), National Natural Science Foundation of China (Grant No. 51579068), Fundamental Research Funds for the Central Universities (Grant No. 2018B10514), and China Postdoctoral Science Foundation Funded Project (Grant No. 2018T110525).
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Journal of Water Resources Planning and Management
Volume 146 • Issue 11 • November 2020
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© 2020 American Society of Civil Engineers.
History
Received: Feb 11, 2020
Accepted: Jun 11, 2020
Published online: Sep 2, 2020
Published in print: Nov 1, 2020
Discussion open until: Feb 2, 2021
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