Pregled bibliografske jedinice broj: 455858
Distributed Generation Integration Using Evolutionary Algorithm with Fuzzy Numbers
Distributed Generation Integration Using Evolutionary Algorithm with Fuzzy Numbers // Proceedings of 3rd Power Optimization and Control Conference
Gold Coast, Australija, 2010. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 455858 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Distributed Generation Integration Using Evolutionary Algorithm with Fuzzy Numbers
Autori
Capuder, Tomislav ; Zidar, Matija ; Škrlec, Davor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 3rd Power Optimization and Control Conference
/ - , 2010
Skup
Power Control and Optimization 2010
Mjesto i datum
Gold Coast, Australija, 02.02.2010. - 04.02.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Distribution Network Optimization; Distributed Generation (DG); Evolutionary Algorithms; Fuzzy numbers
Sažetak
In the following work an enhanced evolutionary algorithm for planning of active distribution network is presented. The algorithm is based on a Multiple Vehicle Routing Problem (MVRP) adjusted for solving electric distribution networks. We demonstrate modeling of active power sources, consumption substations and distributed generation using fuzzy numbers. Idea of modeling fuzzy numbers using pessimism is presented and compared to the solutions obtained without pessimism included. The algorithm is still considered to be in a development phase and thus potential future challenges and goals are discussed.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036-0361590-1587 - Planiranje i vođenje aktivnih razdjelnih mreža i mikromreža
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
