Fatemeh Afsari - Department of Computer Science and Engineering School of Engineering Shiraz University Shiraz, Iran
S. D. Katebi

This paper presents the application of an evolutionary algorithm (genetic algorithm), for finding out the best power distribution network reliability while simultaneously minimizing the system expansion costs. A multiobjective optimization model, achieving the optimal sizing and location of future feeders and substations, has been use d. The proposed methodology has been tested for real distribution systems with dimensions that are significantly larger than the ones frequently found in the literature. We have used the Pareto-optimum model to find the suitable curve of nondominated solutions, composed of a high number of solutions. Furthermore, this methodology is general since it is suitable for the multiobjective optimization of n objectives simultaneously. The model and the algorithm have been applied intensively to real life power systems showing its potential of applicability to large power distribution networks in practice.

Evolutionary algorithm, power distribution networks, multiobjective