Optimum DG Allocation Considering Smart Automation in Distribution Network for Active Power Demand Reduction from Transmission Line

Distribution system companies (DISCOs) manage the electricity in their end-side consumers considering an economical and reliable manner while consumers are extended and connected to distribution system with different types of equipment. These equipment usually have numerous types and resistance together that make highest loss and lowest reliability to distribution systems. Some constructions of automation in distribution network such as automatic online reconfigurations realized through remotely controlled switches (RCSs) has been expected in DGs optimal allocation study. For many years, using Distributed Generations (DGs) as generally was one of the big challenges in electrical industries. Some of these problems refer to economic and technical limits. DGs are one of the best reliable keys for these problems if they were allocated appropriately in the distribution system. Therefore, an optimal procedure is proposed herein which investigates the placement of DGs taking into account different percentages of peak load, and electricity prices at each load state. This paper presents an objective function to determine the optimal places to DGs in distribution system for active power demand reduction from transmission line. Time varying load is useful in this optimization to reach pragmatic results meanwhile all of the study and their requirement are based on benefit forms. Finally to solve this problem an approach based on Genetic Algorithm (GA) is used. The proposed methodology is successfully applied to the 9 -bus distribution test system and the achieved outcomes show a remarkable effect of optimal site and size of DGs to maximize the net present value (NPV) of active power demand reduction benefit from transmission line.

Keywords:

Active Power Demand , Electricity Price , Distributed Generation , Genetic Algorithm