Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles

Abstract

The co-simulation approach for solving the two-objective optimization problem of optimal allocation of the distributed generations is presented. The daily energy losses and the flatness of the voltage profile are objective functions used in the optimization problem. The proposed procedure is based on a co-simulation setup between a tool for metaheuristic optimization and a tool for power system simulations. The profiles of the renewable (photovoltaic and wind) plant production as well as consumers' load shape are taken into account in the optimization problem. The presented procedure has been applied to the IEEE 13 Node Test Feeder. The lowest yearly energy losses that can be obtained for given input data are about 45 % decreased compared to the losses in the case without the installed distributed generations. The best index of the voltage profile flatness obtained by optimization is 0.0809 [p.u.] while it was 0.095 [p.u.] without installed distributed generations. The impact of the load shape on the optimal allocation of DGs has been investigated also.