Differential Evolution Algorithm for Multistage Transmission Expansion Planning Based on AC Load Flow Model

This work proposes a method based on a mixed integer nonlinear non-convex programming model to solve the multistage transmission expansion planning (TEP). A metaheuristic algorithm by the means of differential evolution algorithm (DEA) is employed as an optimization tool. An AC load flow model is us...

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Vydané v:	3rd IET International Conference on Clean Energy and Technology (CEAT) 2014 s. 21
Hlavní autori:	Alhamrouni, I, Bin Khairuddin, A, Ferdavani, A.K, Salem, M, Alnajjar, A
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Stevenage, UK IET 2014 The Institution of Engineering & Technology
Predmet:	a.c. transmission Optimisation techniques Power system planning and layout DEA multistage TEP problem integer programming nonlinear programming evolutionary computation meta heuristic algorithm differential evolution algorithm reactive power mixed integer nonlinear nonconvex programming model optimization tool active power multistage transmission expansion planning power transmission planning AC load flow model load flow concave programming
ISBN:	9781785610691, 1785610694
On-line prístup:	Získať plný text
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