Robust Optimization of Large-Scale Wind–Solar Storage Renewable Energy Systems Considering Hybrid Storage Multi-Energy Synergy

Bin Xiao, Zhenxin Gao, Huaiwu Peng (), Kang Chen, Yang Li and Kun Liu
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Bin Xiao: Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China
Zhenxin Gao: Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China
Huaiwu Peng: Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China
Kang Chen: Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China
Yang Li: School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Kun Liu: School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Sustainability, 2023, vol. 16, issue 1, 1-21

Abstract: With the rapid integration of renewable energy sources, such as wind and solar, multiple types of energy storage technologies have been widely used to improve renewable energy generation and promote the development of sustainable energy systems. Energy storage can provide fast response and regulation capabilities, but multiple types of energy storage involve different energy conversion relationships. How to fully utilize the advantages of multiple energy storage and coordinate the multi-energy complementarity of multiple energy storage is the key to maintaining a stable operation of the power system. To this end, this paper proposes a robust optimization method for large-scale wind–solar storage systems considering hybrid storage multi-energy synergy. Firstly, the robust operation model of large-scale wind–solar storage systems considering hybrid energy storage is built. Secondly, the column constraint generation (CCG) algorithm is adopted to transform the original problem into a two-stage master problem and sub-problem for solving to obtain the optimal strategy of system operation with robustness. Finally, the validity of the proposed method is verified through case tests. The results show that the proposed method can effectively coordinate the multi-energy complementary and coordinated operation of multiple hybrid energy storage, and the obtained operation strategy of large-scale wind–solar storage systems can well balance the economy and robustness of the system.

Keywords: hybrid energy storage; wind–solar storage system; renewable energy consumption; robust optimization; column constraint generation algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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