Transmission network expansion planning under an improved genetic algorithm

This paper describes the application of an improved genetic algorithm (IGA) to deal with the solution of the transmission network expansion planning (TNEP) problem. Genetic algorithms (GAs) have demonstrated the ability to deal with nonconvex, nonlinear, integer-mixed optimization problems, like the...

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Veröffentlicht in:	IEEE transactions on power systems 2000-08, Vol.15 (3), p.1168-1174
Hauptverfasser:	Da Silva, E.L., Gil, H.A., Areiza, J.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Circuits Costs Dealing Gas insulated transmission lines Genetic algorithms Heuristic algorithms Investments Large-scale systems Mathematical analysis Networks Nonlinearity Optimization Optimization methods Performance enhancement Power generation
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