Operational and Economic DG Planning through Multi-Objective Particle Swarm Optimization

In recent decades, moving towards extensive applications of renewable energy sources instead of traditional fossil ones, distributed generations or DGs become proper choices to employ in power grids. Although application of these types of supplies have lots of advantages; such as: improving the voltage stability, enhancement of the voltage profiles, mitigation of power losses and improvement of grid’s reliability, however improper location and size of these units can raise problems in power system’s operation. Consequently, appropriate selection and location of DG units is an inevitable fact. This paper proposes a novel technique using multiobjective particle swarm optimization (MOPSO) tool for DGs sizes and locations to be used by distributed company (DISCO). In this study, the necessary operational and economic objective functions were developed and based on the pareto optimal solution results obtained from the related simulations, a fuzzy decision making method is employed for selection of the best answer. The effectiveness of the proposed technique is validated on IEEE 33-bus test system.