High-performance hybrid genetic algorithm to solve transmission network expansion planning

In this study, a high-performance hybrid genetic algorithm (HGA) is proposed to solve static and multistage transmission network expansion planning (TNEP) problem. The main features of the HGA are: (i) it avoids homogenised solutions by using a special genetic algorithm as the backbone of the proced...

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Vydáno v:	IET generation, transmission & distribution Ročník 11; číslo 5; s. 1111 - 1118
Hlavní autoři:	Gallego, Luis A, Garcés, Lina P, Rahmani, Mohsen, Romero, Ruben A
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 30.03.2017
Témata:	Colombian 93‐bus electrical system constructive heuristic algorithm fast relaxation strategy fitness function genetic algorithms high‐performance HGA high‐performance hybrid genetic algorithm linear programming linear programming problem multistage TNEP problem North‐Northeast Brazilian 87‐bus electrical system path‐relinking algorithm power transmission planning Research Article South Brazilian 46‐bus electrical system static transmission network expansion planning problem transmission network expansion planning static transmission network expansion planning problem linear programming problem fitness function linear programming Colombian 93-bus electrical system genetic algorithms North-Northeast Brazilian 87-bus electrical system South Brazilian 46-bus electrical system high-performance HGA constructive heuristic algorithm high-performance hybrid genetic algorithm transmission network expansion planning path-relinking algorithm power transmission planning multistage TNEP problem fast relaxation strategy
ISSN:	1751-8687, 1751-8695
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