Dynamic Performance Improvement of Power System using UPFC based on ANFIS Controller
In this paper, a novel control system for Unified Power Flow Controller (UPFC) by Adaptive Neuro-Fuzzy Inference System (ANFIS)
has been designed to control dynamic performance of power system. Proposed controller has been used to control active power, reactive
power and DC-link voltage of power system. UPFC based on designed ANFIS controller has been installed between two buses of power
system. Three control parameters have been used as decision criteria; i.e. peak, fall, and settle times. To illustrate priority of proposed
controller, results of ANFIS controller has been compared with two conventional controllers; i.e. PI and PID and a neural-based controller. To
compare and discuss the capability of four controllers’ behavior, two statistical indices are used: Absolute Percentage Error (APE) and
Symmetric Mean Absolute Percentage Error (SMAPE). Simulations have been carried out on SIMULINK/MATLAB software.