Optimal Planning of Renewable Energy Resources in Smart Power Distribution Networks for Improvement of Passive Defense Indices

In this paper, a new multi-objective model for the expansion planning of the renewable distributed generation (DG) in smart distribution networks based on the passive defense considerations is proposed. The proposed planning model aims to minimize the outage duration of the distribution network loads considering priority of critical, sensitive and important loads. It also aims to minimize network costs and active power losses, at the same time. The optimum solution of the proposed model consists of DG unit’s size, location, and best year for installation. Uncertainties of load and output power of renewable DG units are handled by chance-constrained programming approach. Multi-objective particle swam optimization algorithm is used as an optimization tool to solve the proposed optimization model. The effectiveness of the proposed expansion model is demonstrated through examination on a 38-bus radial distribution network.