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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Vydáno v:International journal of electrical power & energy systems Ročník 56; s. 307 - 315
Hlavní autoři: El-Fergany, Attia A., Othman, Ahmed M., El-Arini, Mahdi M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.03.2014
Elsevier
Témata:
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
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Popis
Shrnutí:•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 observed and reported.•Effects of changing the control variables have been investigated and highlighted. This manuscript applies a hybrid integrated heuristic approaches to minimize real power losses in the given power system network. Synergy of a genetic algorithm and hybridized simulated annealing with pattern search are proposed to decide the optimum adjustments to the continuous and the discrete control variables. The proposed method has been applied to several transmission networks with different operating scenarios to investigate its effectiveness and applicability. The numerical results and simulations with different load patterns and single line outages have been demonstrated and evaluated. The results achieved show the effectiveness and robustness of the proposed hybrid approach compared to other heuristic methods.
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2013.11.029