Differential evolution algorithm for multistage transmission expansion planning based on AC load flow model

Author

Alhamrouni, Ibrahim ; Bin Khairuddin, Azhar ; Ferdavani, Ali Khorasani ; Salem, Mohamed ; Alnajjar, Abdelrahman

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. Malaysia, Johor Bahru, Malaysia

fYear

2014

Firstpage

1

Lastpage

4

Abstract

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 used in solving the multistage TEP problem, The proposed technique is tested on the Colombian 93 bus system and has shown high capability in considering the active and reactive power in the same manner and solving the TEP problem. The method produced improved good results in a faster convergence time for the test systems.

Keywords

concave programming; evolutionary computation; integer programming; load flow; nonlinear programming; power transmission planning; reactive power; AC load flow model; DEA; active power; differential evolution algorithm; meta heuristic algorithm; mixed integer nonlinear nonconvex programming model; multistage TEP problem; multistage transmission expansion planning; optimization tool; reactive power; AC power flow model; Multistage transmission expansion planning; differential evolution algorithm; meta-heuristics;

fLanguage

English

Publisher

iet

Conference_Titel

Clean Energy and Technology (CEAT) 2014, 3rd IET International Conference on

Print_ISBN

978-1-78561-069-1

Type

conf

DOI

10.1049/cp.2014.1468

Filename

7151630