@Article{ee.2023.028167,
AUTHOR = {Zaihe Yang, Shuling Wang, Runhang Zhu, Jiao Cui, Ji Su, Liling Chen},
TITLE = {Research on Regulation Method of Energy Storage System Based on Multi-Stage Robust Optimization},
JOURNAL = {Energy Engineering},
VOLUME = {121},
YEAR = {2024},
NUMBER = {3},
PAGES = {807--820},
URL = {http://www.techscience.com/energy/v121n3/55499},
ISSN = {1546-0118},
ABSTRACT = {To address the scheduling problem involving energy storage systems and uncertain energy, we propose a method based on multi-stage robust optimization. This approach aims to regulate the energy storage system by using a multi-stage robust optimal control method, which helps overcome the limitations of traditional methods in terms of time scale. The goal is to effectively utilize the energy storage power station system to address issues caused by unpredictable variations in environmental energy and fluctuating load throughout the day. To achieve this, a mathematical model is constructed to represent uncertain energy sources such as photovoltaic and wind power. The generalized Benders Decomposition method is then employed to solve the multi-stage objective optimization problem. By decomposing the problem into a series of sub-objectives, the system scale is effectively reduced, and the algorithm’s convergence ability is improved. Compared with other algorithms, the multi-stage robust optimization model has better economy and convergence ability and can be used to guide the power dispatching of uncertain energy and energy storage systems.},
DOI = {10.32604/ee.2023.028167}
}