multi-objective optimization of demand side management and multi dg in the distribution system with demand response

The optimal management of distributed generation (dg) enhances the efficiency of distribution system; on the other hand, increasing the interest of customers in optimizing their consumption improves the performance of dg. this act is called demand side management. in this study, a new method based on intelligent algorithm is proposed to optimal operate the demand side management in the presence of dg units and demand response. firstly, the best location and capacity of different technologies of dg are selected by optimizing the technical index including the active and reactive loss and the voltage profile. secondly, the daily performance of multi-dg and grid is optimized with and without consideration the demand response. the economic and environmental indices are optimized in this step. in the both steps, the non-dominated sorting firefly algorithm is utilized to multi-objective optimize the objective functions and then the fuzzy decision-making method is used to select the best result from the pareto optimal solutions. finally, the proposed method is implemented on ieee 33-bus distribution system and actual 101-bus distribution systems in khoy-iran. the obtained numerical results indicate the impact of the proposed method on improving the technical, economic and environmental indices of distribution system.