Research on Enhancing Disaster-Resilient Power Supply Capabilities in Distribution Networks Through Coordinated Clustering of Distributed PV Systems and Mobile Energy Storage System

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Authors: Yan Gao, Long Gao, Maosen Fan, Yuan Huang, Junchao Wang, Peixi Ma
Cited by: 3
References: 28

Abstract

To enhance the power supply resilience of distribution networks with high-penetration distributed photovoltaic (PV) integration during extreme disasters, deploying Mobile Energy Storage Systems (MESSs) proves to be an effective countermeasure. This paper proposes an optimized operational strategy for distribution networks, integrating coordinated clustering of distributed PV systems and MESS operation to ensure power supply during both pre-disaster prevention and post-disaster restoration phases. In the pre-disaster prevention phase, an improved Louvain algorithm is first applied for PV clustering to improve source-load matching efficiency within each cluster, thereby enhancing intra-cluster power supply security. Subsequently, under the worst-case scenarios of PV output fluctuations, a robust optimization algorithm is utilized to optimize the pre-deployment scheme of MESS. In the post-disaster restoration phase, cluster re-partitioning is performed with the goal of minimizing load shedding to ensure power supply, followed by reoptimizing the scheduling of MESS deployment and its charging/discharging power to maximize the improvement of load power supply security. Simulations on a modified IEEE 123-bus distribution network, which includes two MESS units and twenty-four PV systems, demonstrate that the proposed strategy improved the overall restoration rate from 68.98% to 86.89% and increased the PV utilization rate from 47.05% to 86.25% over the baseline case, confirming its significant effectiveness.

Fields of Study & Subjects

Optimal Power Flow Distribution Microgrid Control and Optimization Islanding Detection in Power Systems

Publication details

Journal / source
Electronics
Publisher
MDPI AG
Volume
15
Issue
2
Pages
299–299
Publication date
9 January 2026
Language
EN