DocumentCode :
1695884
Title :
A Nondominated Sorting Genetic Algorithm-II Technique for Environmental/Economic Power Dispatch
Author :
Rajkumar, M. ; Kannan, S. ; Mahadevan, K. ; Ramesh, S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Nat. Coll. of Eng., Tirunelveli, India
fYear :
2010
Firstpage :
841
Lastpage :
844
Abstract :
The basic objective of economic dispatch of electric power generation is to schedule the committed generating unit outputs so as to meet the load demand at minimum operating cost while satisfying all unit and system equality and inequality constraints. Due to increasing concern over the environmental considerations, society demands adequate and secure electricity not only at the cheapest possible price, but also at minimum level of pollution. The problem has been formulated as multi-objective optimization problem with competing fuel cost and emission objectives. In a multi-objective optimization problem, there may not exist one solution that is best with respect to all objectives. Usually, the aim is to determine the tradeoff solution which is a set of nondominated solution points, known as Pareto-optimal solutions. A Nondominated Sorting Genetic Algorithm-II (NSGA-II) have demonstrated an ability to provide accurate and feasible multiple Pareto-optimal solutions in one single run and also to maintain population diversity in the set of the nondominated solutions.
Keywords :
Pareto optimisation; genetic algorithms; power generation dispatch; Pareto-optimal solutions; economic power dispatch; environmental power dispatch; multi-objective optimization problem; nondominated sorting genetic algorithm-II; population diversity; system equality; Algorithm design and analysis; Economics; Evolutionary computation; Fuels; Generators; Optimization; Sorting; Environmental and Economic Dispatch; Multiobjective optimization; Nondominated Sorting Genetic Algorithm-II; Pareto Optimal Solutions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4244-7769-2
Type :
conf
DOI :
10.1109/ICCCCT.2010.5670724
Filename :
5670724
Link To Document :
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