Application of Genetic Algorithm to Distribution Network Expansion Planning with Distributed Generation
نویسنده
چکیده
Abstract: This paper proposes a Genetic Algorithm (GA) based method for distribution network expansion including Distributed Generation (DG). It may be introduced as a combinatorial optimization method that determines the location and capacity of feeders and substations while minimizing the network loss and installation cost. In this paper, DGs are considered in the network expansion planning due to their importance in regulated distribution network. This paper also proposes a new objective function considering the installation cost of equipments (feeders, substations and DGs), cost of losses and cost of DGs operation. The proposed method is successfully applied to planning a real distribution network.
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