Capacity Configuration and Operation Method of Wind-Solar-Water-Storage Integrated Power Station Based on Hybrid Pumped Storage

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  • (1.College of Smart Energy, Shanghai Jiao Tong University, Shanghai 200240, China;2.Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China;3. Ningbo Zhenhai Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Ningbo 315200, Zhejiang, China; 4.Shanghai Investigation Design and Research Institute Corporation Limited, Shanghai 200434, China;5. Shanghai Non-carbon Energy Conversion and Utilization Institute, Shanghai 200240, China )

Online published: 2025-01-16

Abstract

Integrated wind, solar, hydropower, and storage power plants can fully leverage the complementarities of various energy sources, with hybrid pumped storage being a key energy type within this system. However, the mathematical model for hybrid pumped storage is highly nonlinear, and existing research has not yet integrated it with wind, solar, and storage in a unified configuration. To address this gap, this paper establishes a two-stage stochastic optimization model for the configuration and operation of an integrated power plant that includes wind power, photovoltaics, hybrid pumped storage, and electrochemical storage. The Big-M method and piecewise linear fitting are employed to relax the nonlinear parts of the model. Finally, through simulation, the paper derives the configuration and operational status of various energy sources, as well as power generation schemes under different resource endowments. The research findings reveal the competitiveness and economic viability of hybrid pumped storage within a complementary wind-solar-hydro-storage system.

Cite this article

ZHANG Yanzhi1, CHEN Sijie2, ZHENG Linfeng3, LI Qingxin4, ZHU Zhongyu4, YAN Zheng5 . Capacity Configuration and Operation Method of Wind-Solar-Water-Storage Integrated Power Station Based on Hybrid Pumped Storage[J]. Journal of Shanghai Jiaotong University, 0 : 0 . DOI: 10.16183/j.cnki.jsjtu.2024.429

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