A Novel Method for Optimal Conductor Selection of Radial Distribution Feeders Using Genetic Algorithm


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Abstract


In this paper, a novel method for selecting an optimal branch conductor in a radial distribution system is presented. Power loss and voltage regulation as a function of length and cross section of a feeder conductor and an objective function for optimizing conductor cross section have been formulated. The main objective of optimal size conductor selection is to minimize the objective function which is the sum of capital investment and capitalized energy costs determined for each feeder using genetic algorithm approach. Maximum current carrying capacity and voltage constraints of feeder are taken into consideration. A 32 feeder radial distribution network is considered to demonstrate the effectiveness of proposed method. The advantage of this method lies in its faster convergence towards a global optimal solution.
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Keywords


Genetic Algorithm (GA); Distribution System Planning (DSP); Optimal Conductor Selection

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References


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