Neuro-Fuzzy Based Coordination Control in a Distribution System with Dispersed Generation System

Abstract

To maintain the customer voltage profile within a specified region is very important when a dispersed generation system (DGS) is connected to a power distribution system. This paper presents an approach based on an artificial neural network (ANN) combined with a fuzzy system to solve the coordination control problem in a distribution system with DGS. The main purpose is to find the proper tap position for the main transformer under load tap changer (ULTC) and reactive power outputs for the static var compensator (SVC) and DGS, i.e., using the proposed approach to design a coordination controller, such that the reactive power flow through the main transformer can be restrained and voltage profiles on the buses improved. To reduce the repair cost for the main transformer ULTC, the number of operating ULTCs must be minimized. The constraints that must be considered include the voltage limits on the secondary bus and DGS bus, and the reactive power output limits for the SVC and DGS. To demonstrate the usefulness of the proposed coordination control scheme based on the ANN and fuzzy system, a simplified distribution system is performed. The results show that a proper coordination can be reached using the proposed approach.