@inproceedings{df6d9e2ccc224b6d8277085a043a9179,
title = "Impact of Self-healing Control on Reliability Evaluation in Distribution System with Microgrid",
abstract = "As two effective ways to enhance power system reliability, self-healing control and microgrids have been implemented in advanced distribution systems. This paper presents a quantitative approach to assess the benefits of deploying self-healing control and/or a microgrid in improving distribution system reliability. The proposed method utilizes time-sequential Monte Carlo simulation method and further integrates the service restoration and three-phase power flow constraints to accommodate practical distribution system complexity. To reduce the computation burden in searching for optimal service restoration strategy, this paper proposes a heuristic algorithm to find a practical service restoration strategy according to the topology constraints and the constraints of three-phase power flow. Tests on a four-feeder distribution system show that both the system-level reliability and the critical load level reliability are significantly improved after deploying the self-healing control and microgrid.",
author = "Qihuan Dong and Jiaojiao Dong and Lin Zhu and Paychuda Kritprajun and Yunting Liu and Yilu Liu and Tolbert, \{Leon M.\} and Hambrick, \{Joshua C.\} and Kevin Schneider and Stuart Laval",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 ; Conference date: 18-10-2021 Through 21-10-2021",
year = "2021",
doi = "10.1109/ISGTEurope52324.2021.9640207",
language = "English (US)",
series = "Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe",
address = "United States",
}
