Combined Aggregated Sampling Stochastic Dynamic Programming and Simulation-Optimization to Derive Operation Rules for Large-Scale Hydropower System

Xinyu Wu, Rui Guo, Xilong Cheng and Chuntian Cheng
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Xinyu Wu: Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Rui Guo: Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Xilong Cheng: Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Chuntian Cheng: Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China

Energies, 2021, vol. 14, issue 3, 1-15

Abstract: Simulation-optimization methods are often used to derive operation rules for large-scale hydropower reservoir systems. The solution of the simulation-optimization models is complex and time-consuming, for many interconnected variables need to be optimized, and the objective functions need to be computed through simulation in many periods. Since global solutions are seldom obtained, the initial solutions are important to the solution quality. In this paper, a two-stage method is proposed to derive operation rules for large-scale hydropower systems. In the first stage, the optimal operation model is simplified and solved using sampling stochastic dynamic programming (SSDP). In the second stage, the optimal operation model is solved by using a genetic algorithm, taking the SSDP solution as an individual in the initial population. The proposed method is applied to a hydropower system in Southwest China, composed of cascaded reservoir systems of Hongshui River, Lancang River, and Wu River. The numerical result shows that the two-stage method can significantly improve the solution in an acceptable solution time.

Keywords: genetic algorithm; hydropower; operation rule; simulation-optimization; sampling stochastic dynamic programming (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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