Pregled bibliografske jedinice broj: 90742
Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems
Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems // Proceedings of the 2002 Large Engineering Systems Conference on Power Engineering
Halifax, Kanada, 2002. str. 55-60 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems
Autori
Skok, Minea ; Škrlec, Davor ; Krajcar, Slavko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2002 Large Engineering Systems Conference on Power Engineering
/ - , 2002, 55-60
Skup
2002 Large Engineering Systems Conference on Power Engineering, LESCOPE'02
Mjesto i datum
Halifax, Kanada, 26.06.2002. - 28.06.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Geographical Information System; Genetic Algorithm; Large Scale Link Distribution Networks; Distribution System Planning
Sažetak
In order to enhance the reliability and serviceability in the distribution system genetic algorithm and GIS based method is proposed in this article for planning the link distribution networks. All practical issues such as cost parameters (investments, line losses, maintenance), and technical constraints (voltage drop, thermal limit, reliability) as well as physical routing constraints (obstacles, high cost passages, existing line sections) are taken into consideration. Fuzzy set concepts and scenario representation (tree of futures) to model uncertainties as well as decision making guided by a paradigm of multi-criteria risk analysis are discussed. The merits of the approach are discussed by analyzing its application to a study case based on real case in a Croatian utility.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika