Genetic algorithm based distribution network expansion planning

The methods belonging to the artificial intelligence field are becoming very popular within the power system domain. Within the literature several applications are able to be highlighted: load forecasting, power flow computing, power flow optimization, network expansion. The paper is focusing on developing a software tool based on genetic algorithms. The goal of the paper is to use it for distribution network expansion planning. For the moment, the case studies are represented by small scale test power system, but the work is heading towards real, complex distribution networks.