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An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty

Year: 2025

Type: article

Abstract: To enhance the flexibility regulation capability of new-type power systems and address the volatility and uncertainty brought by large-scale renewable energy integration， an optimal scheduling strategy for a wind-solar-hydro-pumped storage complementary system considering source-load uncertainty is proposed. An optimal scheduling model is established with the objective of maximizing the combined generation of hydropower stations and pumped storage power stations， and a quantitative flexibility regulation capability index is introduced. Production simulations are performed for four typical daily scenarios with seasonal variations and one special extreme scenario， obtained using K-means clustering. The flexibility regulation capability of hydropower and pumped storage is analyzed. The results show that the strategy can reasonably allocate the generation output， thereby achieving optimal scheduling.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.19585/j.zjdl.202504011

Authors: HE Yingjing, WANG Xiang, DAN Yangqing, CHEN Qingyue, LI Haibo, LU Zongxiang

Institution: Tsinghua University

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6926217658

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