Developing a multi-objective framework for planning studies of modern distribution networks

This paper presents a new framework for planning studies of modern distribution networks. Presence of electric vehicles (EVs) and various technologies of distributed generation (DG) technologies are considered in the studies as two upcoming events of the future systems. In this regard, place and capacity of DG units along with the reinforcement of distribution lines are determined running a multi-objective (MO) optimization algorithm. Total losses of the distribution network along with annualized cost of expansion plans including investment, operation and maintenance costs are introduced as the main criteria which should be optimized in the proposed framework. An effective Posteriori optimization tool, i. e. Non-Dominated Sorting Genetic Algorithm II (NSGAII) is borrowed to solve the attained optimization problem of the studies. The proposed planning procedure is implemented on a distribution test system (IEEE RBTS-BUS5) and the optimal solutions have been found which shows the applicability and effectiveness of proposed algorithm.