Optimization Configuration of Hybrid Energy Storage for Peak shaving and Frequency Regulation in Renewable-dominated Power Systems

2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI:10.1109/ICPST56889.2023.10164913

Liping Tan, Wenyuan Zhang, Jing He, Lina Wang, Ke Meng, Shijie Zhang, Qing Chen, Sheng Xiang

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Abstract

With the development of the renewable-dominated power system, the requirements for peak shaving and frequency regulation are increasing. A hybrid energy storage system (HESS) is introduced to meet these requirements, which resolve the shortcoming of single energy devices. However, the HESS consists of different kinds of energy devices, and the capacity configuration is complicated. This paper proposes an optimal model for the configuration of the HESS to provide frequency regulation and peak shaving services concurrently. Firstly, the operation modes of the HESS are analyzed, and the characteristics and parameters of the HESS to provide concurrent services are introduced. Secondly, an optimal configuration model of the HESS is proposed to minimize the configuration cost. Thirdly, an improved salp swarm algorithm (SSA) is proposed to solve the optimal model, in which an excellent point initialization population is introduced to avoid local optimal solutions. Finally, the effectiveness of the proposed method is verified by the case study.

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可再生电力系统调峰调频混合储能优化配置

随着以可再生能源为主的电力系统的发展，对调峰和调频的要求越来越高。为了满足这些需求，混合储能系统(HESS)被引入，解决了单一能量装置的缺点。然而，HESS由不同类型的能量器件组成，容量配置复杂。本文提出了一种同时提供调频和调峰服务的HESS优化配置模型。首先，分析了HESS的运行方式，介绍了HESS提供并发服务的特点和参数。其次，以最小配置成本为目标，提出了HESS的优化配置模型;第三，提出了一种改进的salp群算法(SSA)来求解最优模型，该算法引入了一个优秀的点初始化种群来避免局部最优解。最后，通过实例分析验证了所提方法的有效性。

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2023 IEEE International Conference on Power Science and Technology (ICPST)

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