ANN-Based (PI + PIλ) Controller for LFC Analysis in 2-Area Deregulated Environment

This paper presents an ANN-based (PI + PI
^λ
) controller for LFC (Load Frequency Control) in the 2-area connected power system, aiming to simplify frequency regulation. The controller uses an OVPL (Opposition-learning-based Volleyball Premier League) algorithm for parameter excellent tuning, enhancing its effectiveness in analyzing the integrated gas-nuclear turbine and thermal-hydro power systems. The study uses an artificial neural network to modify the parameters of a (PI + PI
^λ
) controller, revealing that an ANN-based controller exceeds an OVPL-based controller concerning performance as well as stability, based on comparisons.