Author
Listed:
- Yongjia Wang
(College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China
Key Laboratory of Hubei Province for Operation and Control of Cascade Hydropower Stations, China Three Gorges University, Yichang 443002, China)
- Hao Zhong
(College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China
Key Laboratory of Hubei Province for Operation and Control of Cascade Hydropower Stations, China Three Gorges University, Yichang 443002, China)
- Xun Li
(College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China
Key Laboratory of Hubei Province for Operation and Control of Cascade Hydropower Stations, China Three Gorges University, Yichang 443002, China)
- Wenzhuo Hu
(College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China
Key Laboratory of Hubei Province for Operation and Control of Cascade Hydropower Stations, China Three Gorges University, Yichang 443002, China)
- Zhenhui Ouyang
(College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China
Key Laboratory of Hubei Province for Operation and Control of Cascade Hydropower Stations, China Three Gorges University, Yichang 443002, China)
Abstract
Aiming at the economic problems of industrial users with wind power, photovoltaic, and small hydropower resources in clean energy consumption and trading with superior power grids, this paper proposes a distributed pumped storage capacity optimization configuration method considering clean energy systems. First, considering the maximization of the investment benefit of distributed pumped storage as the upper goal, a configuration scheme of the installed capacity is formulated. Second, under the two-part electricity price mechanism, combined with the basin hydraulic coupling relationship model, the operation strategy optimization of distributed pumped storage power stations and small hydropower stations is carried out with the minimum operation cost of the clean energy system as the lower optimization objective. Finally, the bi-level optimization model is solved by combining the alternating direction multiplier method and CPLEX solver. This study demonstrates that distributed pumped storage implementation enhances seasonal operational performance, improving clean energy utilization while reducing industrial electricity costs. A post-implementation analysis revealed monthly operating cost reductions of 2.36, 1.72, and 2.13 million RMB for wet, dry, and normal periods, respectively. Coordinated dispatch strategies significantly decreased hydropower station water wastage by 82,000, 28,000, and 52,000 cubic meters during corresponding periods, confirming simultaneous economic and resource efficiency improvements.
Suggested Citation
Yongjia Wang & Hao Zhong & Xun Li & Wenzhuo Hu & Zhenhui Ouyang, 2025.
"Optimal Configuration of Distributed Pumped Storage Capacity with Clean Energy,"
Energies, MDPI, vol. 18(15), pages 1-22, July.
Handle:
RePEc:gam:jeners:v:18:y:2025:i:15:p:3896-:d:1706992
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