DocumentCode :
585815
Title :
Multi-objective optimization techniques and applications in electric power systems
Author :
Grond, M.O.W. ; Luong, N.H. ; Morren, J. ; Slootweg, J.G.
Author_Institution :
Electr. Energy Syst. Group, Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear :
2012
fDate :
4-7 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Efficient operation and planning of power systems is important for a reliable and sustainable electricity supply. Therefore, optimization techniques have been applied to several optimization problems in power systems in order to achieve technical and economic efficiency. This paper presents an overview of existing optimization techniques and applications in power systems, with a special focus on multi-objective optimization in power system planning. Power system planning is by its nature a very complex multi-objective optimization problem involving perspectives of different stakeholders. Besides, a single stakeholder can also have various objectives that need to be optimized at the same time. This paper provides a review of the state-of-the-art in multi-objective evolutionary algorithms applied to power systems planning problems.
Keywords :
evolutionary computation; power system planning; electric power system planning problems; multiobjective evolutionary algorithms; multiobjective optimization techniques; Algorithm design and analysis; Evolutionary computation; Mathematical model; Optimization; Planning; Power system planning; Power system planning and operation; estimation of distribution algorithms; evolutionary algorithms; heuristics; multi-objective optimization; optimization techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2012 47th International
Conference_Location :
London
Print_ISBN :
978-1-4673-2854-8
Electronic_ISBN :
978-1-4673-2855-5
Type :
conf
DOI :
10.1109/UPEC.2012.6398417
Filename :
6398417
Link To Document :
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