Optimization Configuration of Electric–Hydrogen Hybrid Energy Storage System Considering Power Grid Voltage Stability

Yunfei Xu, Yiqiong He, Hongyang Liu, Heran Kang, Jie Chen, Wei Yue, Wencong Xiao () and Zhenning Pan
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Yunfei Xu: Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China
Yiqiong He: Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China
Hongyang Liu: Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China
Heran Kang: Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China
Jie Chen: Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China
Wei Yue: Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China
Wencong Xiao: School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
Zhenning Pan: School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China

Energies, 2025, vol. 18, issue 13, 1-22

Abstract: Integrated energy systems (IESs) serve as pivotal platforms for realizing the reform of energy structures. The rational planning of their equipment can significantly enhance operational economic efficiency, environmental friendliness, and system stability. Moreover, the inherent randomness and intermittency of renewable energy generation, coupled with the peak and valley characteristics of load demand, lead to fluctuations in the output of multi-energy coupling devices within the IES, posing a serious threat to its operational stability. To address these challenges, this paper focuses on the economic and stable operation of the IES, aiming to minimize the configuration costs of hybrid energy storage systems, system voltage deviations, and net load fluctuations. A multi-objective optimization planning model for an electric–hydrogen hybrid energy storage system is established. This model, applied to the IEEE-33 standard test system, utilizes the Multi-Objective Artificial Hummingbird Algorithm (MOAHA) to optimize the capacity and location of the electric–hydrogen hybrid energy storage system. The Multi-Objective Artificial Hummingbird Algorithm (MOAHA) is adopted due to its faster convergence and superior ability to maintain solution diversity compared to classical algorithms such as NSGA-II and MOEA/D, making it well-suited for solving complex non-convex planning problems. The simulation results demonstrate that the proposed optimization planning method effectively improves the voltage distribution and net load level of the IES distribution network, while the complementary characteristics of the electric–hydrogen hybrid energy storage system enhance the operational flexibility of the IES.

Keywords: electric–hydrogen hybrid energy storage system; optimization planning; integrated energy system; multi-objective artificial hummingbird optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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