DocumentCode :
2378488
Title :
A comprehensive survey on multi-objective evolutionary optimization in power system applications
Author :
Pindoriya, N.M. ; Singh, S.N. ; Lee, Kwang Y.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
Many technical areas in power systems require the simultaneous optimization of multiple and often conflicting objective functions with complicated non-linear constraints. The recent studies on multi-objective evolutionary computation methods have shown that the population-based stochastic algorithms are the most attractive approaches for this class of problems. Moreover, these methods can be efficiently used to eliminate most of the difficulties of classical single-objective methods such as the sensitivity to the shape of the Pareto-optimal front and the necessity of multiple runs to find set of Pareto-optimal solutions. At first, in this paper, the concept related to multi-objective optimization and Pareto-optimality is presented. Further, this paper provides a comprehensive survey on applications of the newly developed Pareto-based multi-objective evolutionary computation methods for solving real-world power system multiobjective nonlinear optimization problems.
Keywords :
Pareto optimisation; evolutionary computation; power system planning; Pareto-based multiobjective evolutionary computation methods; Pareto-optimal front; classical single-objective methods; multiobjective evolutionary optimization method; objective functions; population-based stochastic algorithms; power system planning; Multi-objective optimization; Pareto-optimality; Power system optimization problems; multi-objective evolutionary computation methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1944-9925
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2010.5589511
Filename :
5589511
Link To Document :
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