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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	3rd IET International Conference on Clean Energy and Technology (CEAT) 2014 s. 21
Hlavní autoři:	Alhamrouni, I, Bin Khairuddin, A, Ferdavani, A.K, Salem, M, Alnajjar, A
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Stevenage, UK IET 2014 The Institution of Engineering & Technology
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!