Genetic Algorithm for Improving Voltage Profile and Reducing Loss in the Power Distribution System Considering Distributed Generations and Capacitor Banks: Case Study of Tabriz city-IRAN

The optimal Elements (DG and capacitor banks)allocation problemis the determination of the location and sizes of the Elements to be placed in distribution networks in an optimal manner to reduce the energy losses and peak power losses of the networks. This paper shows the capability of Genetic Algorithm (GA) technique in solving such problem. It includes a study done in a real distribution networks in Tabriz city of Iran, and shows the effectiveness of GA technique in such application. This paper presents a method for the optimal sitting and sizing of Element in a global distribution system for improving voltage profile and reducing loss in network Genetic Algorithm (GA) was used as the solving tool, which referring two determined aim; the problem is defined and objective function is introduced. Considering to fitness values sensitivity in genetic algorithm process, there is needed to apply load flow for decision-making. Load flow algorithm is combined appropriately with GA, till access to acceptable results of this operation. We used MATPOWER package for load flow algorithm and composed it with our Genetic Algorithm. The suggested method is programmed under MATLAB software and applied ETAP software for evaluatingof results correctness. Finally, comparison of the optimal capacitor banks and DGs placement is presented to compare between the methods results in this distributed network.

Keywords:

Distributed Generation , Allocation , Capacitor Banks , Voltage Profile , Loss , Genetic Algorithm