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Technical Papers
Jun 4, 2020

Two-Stage Self-Healing Restoration Strategy Considering Operating Performance

Publication: Journal of Energy Engineering
Volume 146, Issue 4

Abstract

Power system resilience requires highly effective self-healing restoration strategies, and calls for superior performance both in system restoration and operation. Most existing restoration methods focus only on restoring performance, such as generation capacity, restored load capacity, and recovery time, but ignore operating performance that can enhance resilience significantly. This paper sheds light on a two-stage self-healing system restoration strategy considering operating performance, which includes voltage balance, transmission loss, and generation cost, to enhance resilience. The first stage aims to determine the restoration sequence of generators, power lines, and loads with maximum restored load capacity. The second stage of the optimization problem focuses on readjusting the power outputs of generators to improve single or multiple operating performance indicators. The optimization model of the first stage is formulated as a linear integer programming (IP) problem and solved by the branch-and-bound method, while the second-stage problem considering AC optimal power flow is solved by the interior point method. The proposed two-stage strategy also provides a possible solution for an online restoration decision support system with superior computational performance. Case studies on the IEEE 30-bus and 118-bus power systems have demonstrated the correctness and effectiveness of the proposed strategy.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies.

Acknowledgments

This work is jointly supported by National Key Research and Development Program of China (2017YFB0902900) and China Southern Power Grid Key Project (No. GZHKJXM20160035).

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Information & Authors

Information

Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 146Issue 4August 2020

History

Received: Jan 21, 2020
Accepted: Mar 4, 2020
Published online: Jun 4, 2020
Published in print: Aug 1, 2020
Discussion open until: Nov 4, 2020

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Authors

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Ph.D. Student, School of Electrical Engineering, Zhejiang Univ., Hangzhou 310027, PR China. ORCID: https://orcid.org/0000-0003-2602-2219
Chongyu Wang
Ph.D. Student, School of Electrical Engineering, Zhejiang Univ., Hangzhou 310027, PR China.
Fushuan Wen, Ph.D. [email protected]
Professor, Dept. of Electrical Power Engineering and Mechatronics, Tallinn Univ. of Technology, Ehitajate Tee 5, Tallinn 19086, Estonia (corresponding author). Email: [email protected]
Ivo Palu, Ph.D.
Professor, Dept. of Electrical Power Engineering and Mechatronics, Tallinn Univ. of Technology, Ehitajate Tee 5, Tallinn 19086, Estonia.
Changsen Feng, Ph.D.
Associate Professor, College of Information Engineering, Zhejiang Univ. of Technology, Hangzhou 310014, PR China.
Zeng Yang
Senior Engineer, Guangzhou Power Supply Company Limited, South Tianhe Rd. 2, Guangzhou 510620, PR China.
Minghui Chen
Senior Engineer, Guangzhou Power Supply Company Limited, South Tianhe Rd. 2, Guangzhou 510620, PR China.
Hongwei Zhao
Senior Engineer, Guangzhou Power Supply Company Limited, South Tianhe Rd. 2, Guangzhou 510620, PR China.
Huiyu Shang
Engineer, Guangzhou Power Supply Company Limited, South Tianhe Rd. 2, Guangzhou 510620, PR China.

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