ABSTRACT
This chapter provides an introduction of artificial neural networks (ANN) application in control systems, an approach based on artificial flexible neural networks (FNNs) is proposed for the design of an automatic generation control (AGC) system for multiarea power systems in deregulated environments. The power system is considered a collection of separate control areas under the bilateral scheme. The ANNs are modeled based on biological structures for information processing, including specifically the nervous system and its basic unit, the neuron. New neural morphologies with learning and adaptive capabilities have infused new control power into the control of complex dynamic systems. The chapter focuses on the design of a dynamic controller unit using artificial FNNs. It shows that the FNN control design provides an effective design methodology for the supplementary frequency controller synthesis in a new environment. The chapter presents the bilateral AGC scheme and dynamical modeling, and provides the FNN-based AGC framework.
