Application of IPSO-Monte Carlo for optimal distributed generation allocation and sizing

Determination of optimal location and size of Distributed Generations (DGs) is one of the major problems of distribution utilities. In this paper, a multi-objective methodology for optimal distributed generation allocation and sizing in distribution systems is proposed. The objective function is considered willing to minimize the costs of active and reactive losses, and to improve the voltage profile and reliability of the distribution systems. Besides, the effect of load models is considered in the optimal DG allocation. A hybrid method based on improved particle swarm optimization (IPSO) algorithm and Monte Carlo simulation is proposed for solving the problem. The proposed algorithm is applied to the practical 33-bus distribution system and results are compared with other versions of PSO and artificial bee colony (ABC) algorithm. Numerical studies are representing of the effectiveness and out-performance of the proposed method.

► Optimal location and size of distributed generation is determined.
► Active and reactive power losses, voltage profile and reliability are considered in the objective function.
► The effect of load models is considered.
► Improved Particle Swam Optimization (IPSO) algorithm and Monte Carlo method are used.