Distributed Generation Integration Using Evolutionary Algorithm with Fuzzy Numbers (CROSBI ID 560547)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Capuder, Tomislav ; Zidar, Matija ; Škrlec, Davor
engleski
Distributed Generation Integration Using Evolutionary Algorithm with Fuzzy Numbers
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.
Distribution Network Optimization; Distributed Generation (DG); Evolutionary Algorithms; Fuzzy numbers
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Podaci o prilogu
2010.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 3rd Power Optimization and Control Conference
Podaci o skupu
Power Control and Optimization 2010
predavanje
02.02.2010-04.02.2010
Gold Coast, Australija