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Publication

Multi-Agent Simulation Based Framework for Power Restoration Time Estimation at Distribution Level

by Yang Chen, Olufemi A Omitaomu, Nicholas Roberts, Bandana Kar
Publication Type
Conference Paper
Book Title
Proceedings of the 2023 Winter Simulation Conference
Publication Date
Page Numbers
1 to 11
Publisher Location
New Jersey, United States of America
Conference Name
2023 Winter Simulation Conference (WSC)
Conference Location
San Antonio, Texas, United States of America
Conference Sponsor
INFORMS
Conference Date
-

The growing frequency of power outages has prompted increased interest in developing a more resilient power grid that can quickly recover from weather-related damage. At the distribution level, power restoration is a complex, multi-stage process involving multiple response entities. Providing utility stakeholders, government regulators, and the public with information about outage duration and estimated time to restoration is crucial. The research employs a multi-agent simulation approach, which allows for the simulation of decision-making behaviors among different entities and the incorporation of various uncertainties. Specifically, the study uses the open-source simulation package Mesa-Geo in conjunction with the Python language and constructs a road network using the open-source network extension pgRouting for routing queries. The research design includes several experiments focused on Florida as a case study, comparing repair crew sizes, power outage numbers, and road damage scenarios. The findings could offer valuable managerial guidance on resource allocation in the restoration process.