Coordinated Optimization of Mobile Power Scheduling and Repair Crew Scheduling for Service Restoration in Distribution Networks

This paper proposes a coordinated optimization strategy for service restoration in distribution networks, which integrates mobile power sources (MPSs) scheduling and repair crews (RCs) scheduling. The primary objective is to accelerate the recovery of distribution networks after large-scale power outages caused by extreme natural disasters. The strategy incorporates three key emergency measures: MPSs scheduling, RCs scheduling, and island partitioning. This approach allows for dynamic adjustments to the island topology and the number of islands, based on the progress of repairs and MPS scheduling. The model is formulated as a mixed-integer second-order cone programming (MISOCP) problem and solved using commercial solvers. Case studies based on the IEEE 123-bus distribution network validate the effectiveness of the proposed strategy. The results show that the strategy enhances fault recovery efficiency by coordinating RCs and flexibly deploying MPS units.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928530
Primary Topic
Smart Grid Energy Management
Type
article
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Coordinated Optimization of Mobile Power Scheduling and Repair Crew Scheduling for Service Restoration in Distribution Networks

Xunting Wang, Jinjin Ding, Ming Wang, Ping Yu et al.
Smart Grid Energy Management
article

Coordinated Optimization of Mobile Power Scheduling and Repair Crew Scheduling for Service Restoration in Distribution Networks

Xunting Wang, Jinjin Ding, Ming Wang, Ping Yu, Bin Xu, Han Wang
article en

Abstract

This paper proposes a coordinated optimization strategy for service restoration in distribution networks, which integrates mobile power sources (MPSs) scheduling and repair crews (RCs) scheduling. The primary objective is to accelerate the recovery of distribution networks after large-scale power outages caused by extreme natural disasters. The strategy incorporates three key emergency measures: MPSs scheduling, RCs scheduling, and island partitioning. This approach allows for dynamic adjustments to the island topology and the number of islands, based on the progress of repairs and MPS scheduling. The model is formulated as a mixed-integer second-order cone programming (MISOCP) problem and solved using commercial solvers. Case studies based on the IEEE 123-bus distribution network validate the effectiveness of the proposed strategy. The results show that the strategy enhances fault recovery efficiency by coordinating RCs and flexibly deploying MPS units.

Hefei University of Technology (CN), State Grid Corporation of China (China) (CN), Chizhou University (CN)
Openalex Percentile: Top 73%
Smart Grid Energy Management
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