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.
%0 Journal Article
%1 noauthororeditor
%A Saini, Ashish
%A Saraswat, Amit
%D 2012
%J International Journal of Advanced Information Technology (IJAIT)
%K NSGA-II Reactive clearing competitive electricity front market markets multi-objective optimization pareto-optimal power
%N 3
%P 49-62
%R 10.5121/ijait.2012.2304
%T SOLVING A MULTI-OBJECTIVE REACTIVE POWER MARKET CLEARING MODEL USING NSGA-II
%U http://airccse.org/journal/IJAIT/papers/2312ijait04.pdf
%V 2
%X 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.
@article{noauthororeditor,
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.},
added-at = {2019-12-02T10:03:10.000+0100},
author = {Saini, Ashish and Saraswat, Amit},
biburl = {https://www.bibsonomy.org/bibtex/2c501d5a6d93ded61ed0483b2dddbb4da/ijaitislive},
doi = {10.5121/ijait.2012.2304},
interhash = {50c8dc7a2a6cee887516dbabf0f822d3},
intrahash = {c501d5a6d93ded61ed0483b2dddbb4da},
issn = {2231 - 1548 [Online] ; 2231 - 1920 [Print]},
journal = {International Journal of Advanced Information Technology (IJAIT)},
keywords = {NSGA-II Reactive clearing competitive electricity front market markets multi-objective optimization pareto-optimal power},
language = {English},
month = {June},
number = 3,
pages = {49-62},
timestamp = {2019-12-02T10:03:10.000+0100},
title = {SOLVING A MULTI-OBJECTIVE REACTIVE POWER MARKET CLEARING MODEL USING NSGA-II},
url = {http://airccse.org/journal/IJAIT/papers/2312ijait04.pdf},
volume = 2,
year = 2012
}