Synergy of a genetic algorithm and simulated annealing to maximize real power loss reductions in transmission networks

•Hybrid approaches of GA and hybridized SA with PS to minimize power loss proposed.•Significant loss reductions have been realized with different operating scenarios.•Single line outage and overloading patterns have been examined and analyzed.•Total fuel costs and amount of emissions have been obser...

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Bibliographic Details
Published in:	International journal of electrical power & energy systems Vol. 56; pp. 307 - 315
Main Authors:	El-Fergany, Attia A., Othman, Ahmed M., El-Arini, Mahdi M.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.03.2014 Elsevier
Subjects:	Applied sciences Control variables Disturbances. Regulation. Protection Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Genetic algorithms Heuristic methods Heuristic-based algorithms Mathematical analysis Mathematical models Miscellaneous Networks Operation. Load control. Reliability Optimal power flow Power loss Power networks and lines Real loss minimization Simulated annealing Heuristic-based algorithms Optimal power flow Control variables Real loss minimization Performance evaluation Outage Power system stability Electrical network analysis Electrical network Genetic algorithm Transportation network Heuristic method Power losses Simulated annealing Data transmission network Numerical simulation Hybrid model Robustness Effectiveness factor Comparative study
ISSN:	0142-0615, 1879-3517
Online Access:	Get full text
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