A Simplified Solution Method for End-of-Term Storage Energy Maximization Model of Cascaded Reservoirs

Xinyu Wu, Ruixiang Cheng and Chuntian Cheng
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Xinyu Wu: Insititute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Ruixiang Cheng: Insititute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Chuntian Cheng: Insititute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China

Energies, 2022, vol. 15, issue 12, 1-18

Abstract: In medium-term scheduling, the end-of-term storage energy maximization model is proposed to create conditions for the safety, stability and economic operation of the hydropower system after control term, which satisfies the system load demand undertaken by the cascaded system in a given scheduling period. This paper presents a simplified solution method based on the Lagrangian relaxation method (LR) to solve the end-of-term storage energy maximization model. The original Lagrange dual problem with multiple Lagrange multipliers is converted to that with only one Lagrange multiplier by an entropy-based aggregate function method, which relaxes the complex cascaded hydropower system load balance constraints. The subgradient method and successive approximation of dynamic programming (DPSA) are adopted to update the Lagrange multiplier iteratively and solve the subproblem of the Lagrange dual problem, respectively. The Wujiang cascaded hydropower system is studied, and the result shows that the simplified solution method for the end-of-term storage energy maximization model both improves solving efficiency and ensures solving accuracy to a great extent.

Keywords: end-of-term storage energy maximization model; Lagrangian relaxation method; aggregate function method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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