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
Link To Document :
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