Frequency regulation of multi area interconnected system by using artificial intelligence based controller

A slight impulsive load change in any zone of an interconnected power system will cause fluctuations in frequency and power in all zones. The main intention of load frequency control (LFC) is to stabilize the actual frequency and desired output power (MW) in the interlinked power system, by managing the variations of tie line power in controlled areas. Inherently, the LFC scheme constitutes a suitable control system for connected power systems. The control system has the ability to restore the local frequency and can connect the power to the initial setting point or very close to it after the load is moved by the help of standard controller. In my study, an AI-based controller has been used to analyze the load frequency control in a three-zone interconnected thermal hydro power generation system dynamically. The proposed idea makes use of advanced controlling methods using PI, PID and Fuzzy logic controllers for an interconnected hydrothermal heating power generation system in three areas system. The controller parameters which are made up here is based on the particle swarm optimization (PSO) technique, that uses an objective function called the integral time absolute error (ITAE) to control the deviation in frequency The performance simulation of the controller is done by using MATLAB2016b and by comparing the proposed fuzzy logic- based solution with PI and PID under the same conditions. By proper comparison among these methods, it is clearly noticeable that fuzzy logic controller performs better than other two approaches. The results of simulation are summarized and comparison analysis of the performance is done in terms of peak overshoot and settling time.