Breaking time-scale boundary: An optimization framework for improving multi-timescale operation characteristics of pumped storage power plant

Liuwei Lei, Yu Xiao, Yuanqiang Gao, Diyi Chen, Ziwen Zhao, Ye Zhou, Hongyu Chen and Md Apel Mahmud

Applied Energy, 2025, vol. 398, issue C, No S0306261925011171

Abstract: The multi-timescale operation of pumped storage power plant is crucial for enhancing renewable energy consumption capacity and improving the power system operation characteristics. However, current hour-scale strategies neglect second-scale transients, making it difficult to balance economy, safety, and stability. This study proposes a novel optimization framework that establishes the relationship between the second-scale and hour-scale characteristics of pumped storage power plant to improve the multi-timescale operation characteristics. Firstly, a multi-timescale coupled model is developed, consisting of a second-scale mathematical model and an hour-scale short-term scheduling model. Secondly, the datasets of multi-timescale operation characteristic under different operating conditions are obtained, considering 6 multi-timescale operation characteristics. Thirdly, using a pumped storage power plant in the Southeastern China as an example, the aforesaid multi-timescale operation characteristics are further subdivided into 14 indicators, and coupled to the short-term scheduling model through the datasets. The non-dominated sorting genetic algorithm-III is introduced to solve the short-term scheduling model. Results indicate that compared to the traditional short-term scheduling strategy, the proposed approach significantly improves the second-scale operation characteristics at a small cost. The largest improvement is in the unit status indicator, which increases by 38.18 %–45.81 % across different daily load curve scenarios. In summary, the method proposed in this study maximizes comprehensive operation benefits and offers a new perspective for the operation and management of pumped storage power plant.

Keywords: Pumped storage; Optimization framework; Multi-timescale operation characteristics; Short-term scheduling; Transient process (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2025.126387

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