Distribution Network Reconfiguration Using Augmented Grey Wolf Optimization Algorithm for Power Loss Minimization

This paper proposes augmented Grey wolf optimizer (AGWO) for solving the radial distribution network reconfiguration problem. In the developed algorithm, the optimal switches combination is determined to change the topological structure of the system and reduce the total real power losses subject to...

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Vydané v:	2019 International Conference on Innovative Trends in Computer Engineering (ITCE) s. 450 - 454
Hlavní autori:	Hamour, Hanan, Kamel, Salah, Nasrat, Loai, Juan Yu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2019
Predmet:	AGWO optimizer Distribution network feeder reconfiguration Genetic algorithms Heuristic algorithms Linear programming Optimization methods power losses minimization Simulation Switches
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Shrnutí:	This paper proposes augmented Grey wolf optimizer (AGWO) for solving the radial distribution network reconfiguration problem. In the developed algorithm, the optimal switches combination is determined to change the topological structure of the system and reduce the total real power losses subject to the system operating constraints. AGWO inspired from behavior of the alpha α, and beta β grey wolves in the nature. The proposed algorithm is tested on IEEE 33-bus radial distribution system. The simulation results prove reasonable computing time and high performance of the proposed method comparing with other well-known optimization techniques.
DOI:	10.1109/ITCE.2019.8646595