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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Veröffentlicht in:3rd IET International Conference on Clean Energy and Technology (CEAT) 2014 S. 21
Hauptverfasser: Alhamrouni, I, Bin Khairuddin, A, Ferdavani, A.K, Salem, M, Alnajjar, A
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Stevenage, UK IET 2014
The Institution of Engineering & Technology
Schlagworte:
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
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
ObjectType-Feature-2
SourceType-Conference Papers & Proceedings-1
content type line 22
ISBN:9781785610691
1785610694
DOI:10.1049/cp.2014.1468