engleski

Evolutionary algorithm with fuzzy numbers for planning active distribution network

Modern approach to distribution systems planning requires developing tools able to interpret and analyze the stochastic nature of large power system problems. At the same time it has to be able to optimize multiple, conflicting goals that appear in todays open market environment. Presented evolutionary algorithm is based on a Multiple Vehicle Routing Problem (MVRP) adjusted for solving active electric distribution networks. An original approach to fuzzy number modelling is used for active power sources, consumption substations and distributed generation. This model is applicable to any form of fuzzy number shape required by planner in modelling stochastic nature of elements. Idea of defuzzification using pessimism is presented and compared to the solutions obtained without pessimism included. Application of the original universal fuzzy number modelling, using FER-fuzzy modelling, is demonstrated on multi objective evolutionary algorithm and applied to real Croatian distribution network.

Distributed Generation (DG); Evolutionary Algorithms; Fuzzy numbers modelling; Metaheuristic algorithms; Optimization; SmartGrids

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