Multi-objective economic dispatch considering wind generation uncertainty using non-dominated sorting particle swarm optimization

Author

Man-Im, Anongpun ; Ongsakul, Weerakorn ; Singh, Jai Govind ; Boonchuay, Chanwit

Author_Institution

Sch. of Environ., Resources, & Dev., Asian Inst. of Technol. (AIT), Thailand

fYear

2014

fDate

19-21 March 2014

Firstpage

1

Lastpage

6

Abstract

In this paper, a non-dominated sorting particle swarm optimization (NSPSO) is proposed for solving multi-objective economic dispatch considering wind power uncertainty. Two objectives including operation cost and system risk in terms of wind power penetration are considered. The Pareto fronts of optimal solutions are compared with non-dominated sorting genetic algorithm II (NSGA II). Simulation results on the modified IEEE 30-bus test system indicate that NSPSO can provide a better trade-off Pareto front solution in a less computation effort.

Keywords

Pareto optimisation; particle swarm optimisation; power generation dispatch; wind power; IEEE 30-bus test system; NSPSO; Pareto fronts; multiobjective economic dispatch; nondominated sorting particle swarm optimization; operation cost; optimal solutions; system risk; wind generation uncertainty; wind power penetration; Generators; Particle swarm optimization; Security; Sociology; Sorting; Statistics; Wind power generation; economic dispatch; non-dominated particle swarm optimization; risk and cost tradeoff; wind power;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Energy for Sustainable Development (ICUE), 2014 International Conference and Utility Exhibition on

Conference_Location

Pattaya

Print_ISBN

978-1-4799-2628-2

Type

conf

Filename

6828900