R. Ranjan, B. Venkatesh, and D. Das
Load flow, radial distribution feeder, optimal conductor selection Nomenclature NB : total number of the load LN1 : total number of the branch (LN1 = NB − 1) PL(i) : reactive power load of i-th node QL(i) : reactive power load of i-th node |V(i)| : voltage magnitude of i-th node R(jj) : resistance of the branch-jj R(jj, k): resistance of the branch-jj with k type ofconductor X(jj) : reactance of the branch-jj X(jj, k): reactance of the branch-jj with k type of conductor Z(jj) : impedence of the b
The paper proposes a novel method for selecting an optimal branch conductor for radial distribution networks based on fuzzy adaptation of evolutionary programming (FEP). The aim of optimal conductor size selection for each branch is to minimize an objective function, which is the sum of capital investment and cost of capitalized energy loss. Optimal conductor type is determined for each branch by using FEP. To minimize voltage violation, a voltage deviation index (VDI) is defined and implemented in FEP. An attempt has been made to reduce the system losses in the existing radial distribution system while minimizing voltage violation minimum. Suitable practical examples are presented to demonstrate the effectiveness of the proposed method.
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