Genetic Algorithm for Open-Loop Distribution System Design

To ensure a given level of reliability of energy supply, distribution networks should be configured in such a way that each load point may be supplied from alternative sources. The method proposed in this paper is aimed at designing such distribution systems with minimal feeder length, energy losses and load imbalance between transformers, subject to voltage drop and capacity constraints. The method is based on the biologically inspired genetic algorithm (GA). Basic GA procedures adapted to the given problem are presented and five versions of the GA are compared. Test results are reported which demonstrate that the chosen version of the proposed algorithm outperforms a heuristic procedure proposed previously.