An Iterative Heuristic Method to Determine Radial Topology for Distribution System Restoration
Jiayu Liu, Qiqi Zhang, Jiaxu Li, Ying Wang

TL;DR
This paper introduces a fast, graph theory-based heuristic method for real-time determination of radial topology in distribution system restoration, enabling quick and reliable critical load recovery after outages.
Contribution
It presents a novel iterative heuristic considering power flow states to efficiently determine radial topologies in distribution networks.
Findings
Determines radial topology within seconds
Ensures restoration capacity during critical load recovery
Validated on multiple case studies
Abstract
Coordinating multiple local power sources can restore critical loads after the major outages caused by extreme events. A radial topology is needed for distribution system restoration, while determining a good topology in real-time for online use is a challenge. In this paper, a graph theory-based heuristic considering power flow state is proposed to fast determine the radial topology. The loops of distribution network are eliminated by iteration. The proposed method is validated by one snapshot and multi-period critical load restoration models on different cases. The case studies indicate that the proposed method can determine radial topology in a few seconds and ensure the restoration capacity.
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Taxonomy
TopicsOptimal Power Flow Distribution · Power System Optimization and Stability · Power System Reliability and Maintenance
