Rapid Method for Generation Prioritization during System Restoration with Renewable Resources

Quick and reliable power system restoration is critically important after natural disasters or other sudden threats, such as cyber-attacks. Leveraging renewable resources in system restoration shortens recovery times, resulting in prevented life-loss and avoided economic-loss, and improves the resil...

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Bibliographic Details
Published in:arXiv.org 2021-01
Main Authors: Mate, Adam, Cotilla-Sanchez, Eduardo
Format: Article
Language:English
Subjects:
Algorithms
Cybersecurity
Economic conditions
Natural disasters
Renewable resources
Restoration
Schedules
Unit commitment
Online Access:Get full text
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Summary:Quick and reliable power system restoration is critically important after natural disasters or other sudden threats, such as cyber-attacks. Leveraging renewable resources in system restoration shortens recovery times, resulting in prevented life-loss and avoided economic-loss, and improves the resilience of the entire grid. However, it is not a common practice today; the inherent variability of these resources represents a challenge for a streamlined restoration process. This paper presents a prioritized method - starting with renewable generator units then lowering priority to conventional units - to plan the operational schedule of a power system during the restoration process. The goal is to achieve a well balanced system in the presence of significant renewable penetration. Validation and benchmarking experiments were performed on a customized version of the RTS-GMLC test system using six months out of year-long data, tested through hourly simulations. After evaluating the performance and computational costs, this method proved faster than common approaches: a MILP Unit Commitment algorithm, widely used today, and an "enable-and-try" algorithm. In summary, herein a more convenient method is provided to be utilized during time-sensitive restoration, as an online operation-planning aid.
ISSN:2331-8422
DOI:10.48550/arxiv.2101.06355