BRIEF RESEARCH REPORT article
Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1640375
This article is part of the Research TopicGrid Stability and Optimized Operation in Renewable Energy Grid SystemsView all articles
Research on energy storage planning methods for distributed renewable energy integrated rural power distribution networks
Provisionally accepted
- 1Hydroelectric Power and Water Resources Planning and Design Institute, Beijing, China
- 2State Grid Hebei Electric Power Co Ltd Electric Power Research Institute, Shijiazhuang, China
- 3North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China
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To accelerate the green transformation of power grids, enhance the accommodation of renewable energy, reduce the operational costs of rural distribution networks, and address voltage stability issues caused by supply-demand fluctuations, this study proposes an optimization method for distributed energy storage systems in rural distribution networks integrated with renewable energy.Initially, the K-means clustering method is employed to analyze one year of load and renewable generation data, generating four typical scenarios to represent varying conditions of electricity supply and demand. Based on this analysis, a collaborative optimization model for energy storage and renewable energy-integrated distribution networks is constructed, comprehensively considering operational costs of the rural grid as well as the investment and operational costs of energy storage systems, with the objective of minimizing total operational costs. The optimal locations and capacities of energy storage systems are determined using YALMIP toolbox and the beetle swarm optimization (BSO) algorithm, and the proposed method is validated on a modified IEEE 33-bus system. The results demonstrate that the optimized energy storage planning significantly reduces the operational costs of the rural distribution network, decreases electricity purchasing expenses and curtailment losses of wind and solar energy, and optimizes power flow distribution while enhancing nodal voltage stability. This approach not only improves the economic efficiency and operational performance of rural distribution networks but also provides robust theoretical and technical support for the efficient utilization of renewable energy resources.
Keywords: Rural distribution network, Distributed energy storage, Collaborative optimization, Voltage stability, Renewable energy accommodation, Beetle swarm optimization
Received: 03 Jun 2025; Accepted: 26 Jun 2025.
Copyright: © 2025 Jia, Feng, Jiang, Gao, Zhao, Zhang and Xuan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Haoshuai Jia, Hydroelectric Power and Water Resources Planning and Design Institute, Beijing, China
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