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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Bibliographic Details
Published in:2019 International Conference on Innovative Trends in Computer Engineering (ITCE) pp. 450 - 454
Main Authors: Hamour, Hanan, Kamel, Salah, Nasrat, Loai, Juan Yu
Format: Conference Proceeding
Language:English
Published: IEEE 01.02.2019
Subjects:
AGWO optimizer
Distribution network
feeder reconfiguration
Genetic algorithms
Heuristic algorithms
Linear programming
Optimization methods
power losses minimization
Simulation
Switches
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Summary: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