AGC in the Multi-Area Thermal System with Integration of Distribution Generation on the Frequency of the System Using the Classical PID & Hybrid Neuro-Fuzzy Controllers

Abstract

In the essential operation and control of the intelligent power plants, the primary goal is to balance both powers generated on the generation side with the power demand on the demand side. But, the structural variation of the power systems with a continuing escalation of customer demand is changing load demand continuously. Due to these problems, it is a continuous requirement to control and accommodate the escalation power need of the customer. The system’s frequency is affected by disturbance and mismatching between power generation and power demand. The novel design of a hybrid Neuro-fuzzy system is used in the Automatic Generation Control (AGC) model of two equal-areas power systems. Installing non-conventional energy sources allows power producers and consumers to prefer power transactions in an economic scenario. The Distribution Generation (DG) is incorporated into the proposed model. The first design, the two equal-area AGC, uses a classical PID Controller considering DG. Second, the two equal- areas AGC design is investigated by considering Adaptive Neuro-Fuzzy Interface (ANFIS) with integrated Distributed generation. The simulation results show that an ANFIS incorporated with a DG-based PID controller exhibits more robust performance than the studied PID without and with the DG-based method. The reduction in vibration amplitude and the damping time provided by a PID-ANFIS-based AGC controller with the integration DG is 83.75%, much less than Classical Controllers.