Research Article
Self-healing Restoration of Smart Microgrids in Islanded Mode of Operation
@INPROCEEDINGS{10.1007/978-3-319-33681-7_33, author={M. ZakiEl-Sharafy and H. Farag}, title={Self-healing Restoration of Smart Microgrids in Islanded Mode of Operation}, proceedings={Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers}, proceedings_a={SMARTCITY360}, year={2016}, month={6}, keywords={Ant colony optimization algorithm Islanded microgrid Droop control Power system restoration}, doi={10.1007/978-3-319-33681-7_33} }- M. ZakiEl-Sharafy
H. Farag
Year: 2016
Self-healing Restoration of Smart Microgrids in Islanded Mode of Operation
SMARTCITY360
Springer
DOI: 10.1007/978-3-319-33681-7_33
Abstract
This paper proposes a new algorithm for optimum self-healing restoration of a smartmicrogrid operating in islanded mode of operation. The objective of the proposed algorithm is to optimize the topological structure of the islanded microgrid system (IMG) via: (1) maximizing the served load after the fault isolation; and (2) minimizing the switching operation costs. The proposed algorithm takes into consideration the system operational constraints in all operating conditions. The new algorithm accounts for droop controlled IMG special operational characteristics. The problem is formulated as a multi-objective optimization problem and solved using Ant Colony Optimization Algorithm. The proposed algorithm has been implemented in MATLAB environment and several case studies have been carried to test its effectiveness.