In this work it is shown that artificial neural networks have certain characteristics that make
them advantageous in the development of controllers in the different levels of control that …

This study provides a comprehensive and fresh review of load frequency control (LFC) in
multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep …

With the rapid growth of renewable energy resources, wind energy system is getting more
interest everywhere throughout the world. However, its extensive use in power systems …

In the electrical grids, the main target of the controller design is represented in the
decreasing of the settling time and the overshoot of frequency deviations. The optimization …

This paper presents an adaptive PID Load Frequency Control (LFC) for power systems
using Neuro-Fuzzy Inference Systems (ANFIS) and Artificial Neural Networks (ANN) …

This paper investigates a renewable energy resource's application to the Load–Frequency
Control of interconnected power system. The Proportional-Integral (PI) controllers are …

This paper proposes a control scheme for the load frequency control (LFC) problem of multi-
area power systems. These systems are treated as interconnected dynamical systems. In the …

In this article, artificial cuckoo search algorithm for optimal tuning of proportional integral (PI)
controllers for load frequency control is introduced. To robustly tune the parameters of …

In this paper, the type-2 fuzzy logic system (T2FLS) controller using the feedback error
learning (FEL) strategy has been proposed for load frequency control (LFC) in the …

In this study, a new adaptive controller based on modified feedback error learning (FEL)
approaches is proposed for load frequency control (LFC) problem. The FEL strategy consists …