%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 }