DocumentCode
3133663
Title
A reliability and environmental based Multi-Criteria Decision Making genetic algorithm (MCDMGA)
Author
Gaun, A. ; Renner, H. ; Rechberger, G.
Author_Institution
Inst. of Electr. Power Syst., Univ. of Technol., Graz
fYear
2008
fDate
27-29 Aug. 2008
Firstpage
217
Lastpage
223
Abstract
Large-scale projects, such as new power transmission lines, are characterized by an increased ecological awareness and by a strong public participation in the environmental impact assessment process. Technical criteria, environmental criteria, economical criteria as well as reliability parameters are used to evaluate the impact of the planned transmission line alternatives. For the reliability evaluation a minimal cut-set-algorithm has been implemented, tested and validated with the NEPLANreg reliability tool. The resulting Multi-Criteria Decision Making problem (MCDM), which is solved by a genetic algorithm (GA) in this paper, is to build a reliable transmission grid with low environmental impact on the public sector, minimum on unavailability and with minimal life-time-costs. The results of the optimization process on an example grid are discussed and further improvements are listed.
Keywords
decision making; genetic algorithms; power transmission economics; power transmission faults; power transmission lines; power transmission reliability; NEPLAN reliability tool; ecological awareness; economical criteria; environmental criteria; environmental impact assessment process; minimal cut-set- algorithm; minimal life-time-costs; multicriteria decision making genetic algorithm; power transmission lines; reliability parameters; technical criteria; transmission grid; Cultural differences; Decision making; Environmental economics; Genetic algorithms; Global communication; Power generation economics; Power overhead lines; Power system economics; Power system reliability; Power transmission lines;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Quality and Supply Reliability Conference, 2008. PQ 2008
Conference_Location
Parnu
Print_ISBN
978-1-4244-2500-6
Electronic_ISBN
978-1-4244-2501-3
Type
conf
DOI
10.1109/PQ.2008.4653764
Filename
4653764
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