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Distributed Generation Integration Using Evolutionary Algorithm with Fuzzy Numbers (CROSBI ID 560547)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Capuder, Tomislav ; Zidar, Matija ; Škrlec, Davor Distributed Generation Integration Using Evolutionary Algorithm with Fuzzy Numbers // Proceedings of 3rd Power Optimization and Control Conference. 2010

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

Povezanost rada

Elektrotehnika