Open AccessService restoration based on AMI and networked MGs under extreme weather events
Author(s) -
Wang Zhaoyu,
Wang Jianhui
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0864
Subject(s) - resilience (materials science) , computer science , metering mode , service (business) , control reconfiguration , reliability engineering , electric power system , power (physics) , computer network , distributed computing , real time computing , engineering , embedded system , mechanical engineering , physics , economy , quantum mechanics , economics , thermodynamics
This study proposes a comprehensive power outage detection and service restoration framework for a distribution system with advanced metering infrastructure (AMI) meters and networked microgrids (MGs). To cope with the resilience challenge of communication networks in severe weather events, the authors propose a decentralised outage detection method which obtains the total number of customers and the total amount of lost load in the outage area via local information exchanges among AMI meters. To provide fast‐response service restoration, the proposed framework incorporates the network reconfiguration and the local power support from the connected MGs. The optimal restoration problem is formulated as a mixed‐integer quadratic programme that controls distributed generators and loads in MGs and line switches to maximise the restored critical loads. Case studies on a modified 69‐bus distribution system with networked MGs demonstrate the effectiveness of the proposed methodology in both outage detection and service restoration.