Naslov
Fuzzy Models Used For Long Term Distribution Planning Under Uncertainty

Autori
Skok, Minea ; Zmijarević, Zlatko ; Keko, Hrvoje ; Škrlec, Davor ; Krajcar, Slavko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of CICED 2006 / - Peking, 2006, TS01.4.1-TS01.4.6

Skup
CICED 2006

Mjesto i datum
Peking, Kina, 17.09.2006. - 20.09.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
electric distribution planning; optimization; evolutionary algorithms; fuzzy sets; uncertainty

Sažetak
In the paper a long-term planning method based on evolutionary algorithms devised by the Authors is explained with special emphasis on calculations and decision making using fuzzy numbers. The proposed methods can cope with important features such as uncertainty in loads, tentative distributed generation, reliability parameters (e.g. mean time to switch, mean time to repair, expected frequency of failures) and changes in prices and costs. The search for the optimal solution is aimed at robust decisions, or in other words, the solution is expected not only to be economical and technically desirable, but also to perform well in any plausible future or, at least, to be sufficiently flexible when facing any unpredictable future. The major advantage of using fuzzy sets instead of a scenario approach is that fuzzy sets take care of an infinite number of demand and generation scenarios in a holistic way. The model and evolutionary algorithms have been applied intensively to real life power distribution systems showing its potential applicability to large scale systems.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

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