Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …

This article aims to provide an in-depth analysis of the recent development of various control
strategies and their implementation concerning frequency and power control in automatic …

This is part II of two-paper set deals with the application of the designed algorithm in
automatic generation control (AGC) problem of different structures, such as conventional …

With constructions of demonstrative microgrids, the realistic optimal economic dispatch and
energy management system are required eagerly. However, most current works usually give …

Due to the great importance of the performance of load frequency controllers in power
systems, a lot of effort have been performed to improve the performance of these controllers …

Load frequency control is among the most important control tasks in power systems
operation. Many researchers have focused on tuning the load frequency controllers using …

Load frequency control scheme is one of the main control procedures in large electric grids
incorporating electric vehicles. Load frequency control controllers play an important role in …

Internal model control (IMC) has been used widely for its less computational burden, and
simple implementation. By IMC, the disturbance including model mismatch, parameter …

In this paper, the practical application of automatic control techniques is performed to
enhance the performance of the isochronous speed regulator of hydraulic turbines, thus …

The present work addresses a decentralized, well tested three-area multi-unit power system
for its automatic generation control (AGC) after deregulation which is characterized by price …