Lalit Chandra Saikia

TL;DR: A maiden attempt is made to apply integral plus double derivative (IDD) controller in automatic generation control (AGC) of interconnected two equal area, three and five unequal-areas thermal systems provided with single reheat turbine and generation rate constraints of 3% per minute in each area.

TL;DR: In this article, a maiden attempt is made to examine and highlight the effective application of bacterial foraging (BF) to optimize several important parameters in automatic generation control (AGC) of interconnected three unequal area thermal systems, such as integral controller gains (KIi) for the secondary control, governor speed regulation parameters (Ri), and frequency bias parameters (Bi), and compare its performance to establish its superiority over GA and classical methods.

TL;DR: In this paper, a maiden attempt has been made to apply a Proportional derivative-Proportional integral derivative (PD-PID) cascade controller in automatic generation control (AGC) of an interconnected multi area thermal system.

TL;DR: In this article, a nature inspired optimization technique called Ant Lion Optimizer (ALO) algorithm is used for simultaneous optimization of the controller gains for automatic generation control of an unequal three area thermal system.

TL;DR: In this article, a grey wolf optimizer algorithm (GWO) is used for the optimization of secondary controller gains for the first time in AGC, and the results reveal that GWO optimized PID controller's performance is better than others in terms of settling time, peak overshoot and magnitude of oscillations in the system with or without solar thermal power plant (STPP) in one of the area.