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Outage Forecast-Based Preventative Scheduling Model for Distribution System Resilience Enhancement

Conference ·
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Distribution system resilience enhancement is an important topic to ensure customers have access to power supply during extreme events. In fact, certain weather-related extreme events can be predicted ahead of time. Therefore, it is important to investigate how to predict grid outages using extreme weather forecasts, and how outage predictions can be incorporated into distribution system resilience enhancement. In this paper, a preventative scheduling model for distribution systems is proposed. The model targets at allocating resources, especially mobile responsive resources such as mobile backup generators and mobile energy storage systems, to prepare for an extreme event in the day-ahead context. To achieve efficient resource allocation and scheduling, a machine learning-based outage prediction module is developed to predict vulnerable or risky segments of the distribution system based on historical operating records and extreme weather event forecast. By integrating the outage prediction results into the scheduling model, optimal resource allocation can be derived to help distribution systems prepare for an upcoming event and improve resilience performance. A real distribution feeder in North Carolina, U.S. is used in the case study to validate the proposed approach.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
2229752
Report Number(s):
NREL/CP-5D00-88288; MainId:89063; UUID:46882c94-39e3-4a06-9dd7-01fc3205ff18; MainAdminID:71288
Country of Publication:
United States
Language:
English

References (11)

Toward a MILP Modeling Framework for Distribution System Restoration journal May 2019
Metrics and Quantification of Operational and Infrastructure Resilience in Power Systems journal November 2017
DGs for Service Restoration to Critical Loads in a Secondary Network journal January 2019
A Full Decentralized Multi-Agent Service Restoration for Distribution Network With DGs journal March 2020
Quantitative Metrics for Grid Resilience Evaluation and Optimization journal January 2022
Resilient Disaster Recovery Logistics of Distribution Systems: Co-Optimize Service Restoration With Repair Crew and Mobile Power Source Dispatch journal November 2019
Service restoration of active distribution systems with increasing penetration of renewable distributed generation journal June 2019
Enhancing Active Distribution Systems Resilience by Fully Distributed Self-Healing Strategy journal March 2022
Collaborative Distribution System Restoration Planning and Real-Time Dispatch Considering Behind-the-Meter DERS journal July 2021
Quantitative Power System Resilience Metrics and Evaluation Approach conference July 2022
Storm outage modeling for an electric distribution network in Northeastern USA journal July 2015

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Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
distributed energy resources
forecast-based preventative scheduling
machine learning
outage prediction
power system resilience
responsive resource allocation