@inproceedings{202a5f93e320449ab324617a569cedca,
title = "Multi-agent restoration process based on distributed optimization search",
abstract = "This paper proposes a new multiagent control algorithm for automatic back-feed service restoration in smart distribution grids. The aim of the proposed algorithm is to obtain the advantages of both centralized and distributed control schemes by installing a less acceptable number of installed agents. The objective of these agents is to minimize the unserved loads and the total number of switching operations, taking into consideration the load variability. The proposed algorithm adopts the Optimal Asynchronous Partial Overlay (OPTAPO) technique, which is based on the distributed constraint agent search in order to obtain the back-feed restoration process in a multi-agent environment. Case studies are simulated to evaluate the effectiveness of the proposed algorithm.",
keywords = "Distributed constraint optimization, Distributed generation (DG), Self-healing restoration, Smart distribution grids, Variable Loads",
author = "El-Sharafy, {M. Zaki} and Farag, {H. E.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 ; Conference date: 16-07-2017 Through 20-07-2017",
year = "2018",
month = jan,
day = "29",
doi = "10.1109/PESGM.2017.8274522",
language = "British English",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
pages = "1--5",
booktitle = "2017 IEEE Power and Energy Society General Meeting, PESGM 2017",
address = "United States",
}