Open Access

ARTICLE

Research on Regulation Method of Energy Storage System Based on Multi-Stage Robust Optimization

Zaihe Yang^1,*, Shuling Wang¹, Runhang Zhu¹, Jiao Cui², Ji Su², Liling Chen³

1 Electrical Dispatching and Control Center, Yunnan Power Grid, Kunming, 650011, China
2 Kunming Power Supply Bureau, Yunnan Power Grid Co., Ltd., Kunming, 650011, China
3 Yuxi Power Supply Bureau, Yunnan Power Grid Co., Ltd., Yuxi, 653100, China

* Corresponding Author: Zaihe Yang. Email:

Energy Engineering 2024, 121(3), 807-820. https://doi.org/10.32604/ee.2023.028167

Received 02 December 2022; Accepted 23 March 2023; Issue published 27 February 2024

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.

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