Multiobjective Optimization of Distribution Networks Using Genetic Algorithms
نویسنده
چکیده
This paper presents the application of multiobjective optimization, for finding out the optimal power distribution network. A multiobjective optimization model simultaneously minimizing the system expansion costs while achieving the best reliability (optimal sizing and location of future feeders and substations). Furthermore, the problem has some constraints. 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 non dominated solutions, composed of a high number of solutions.
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