TITLE

Solving a Multi-Objective Reactive Power Market Clearing model using NSGA-II

AUTHOR(S)
Saini, Ashish; Saraswat, Amit
PUB. DATE
June 2012
SOURCE
International Journal of Advanced Information Technology;Jun2012, Vol. 2 Issue 3, p49
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents an application of elitist non-dominated sorting genetic algorithm (NSGA-II) for solving a multi-objective reactive power market clearing (MO-RPMC) model. In this MO-RPMC model, two objective functions such as total payment function (TPF) for reactive power support from generators/synchronous condensers and voltage stability enhancement index (VSEI) are optimized simultaneously while satisfying various system equality and inequality constraints in competitive electricity markets which forms a complex mixed integer nonlinear optimization problem with binary variables. The proposed NSGA-II based MO-RPMC model is tested on standard IEEE 24 bus reliability test system. The results obtained in NSGA-II based MO- RPMC model are also compared with the results obtained in real coded genetic algorithm (RCGA) based single-objective RPMC models.
ACCESSION #
82373799

 

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