الفهرس 
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Abstract
Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR) are a very imperative issue in power system operation for providing electric power with high quality and reliability. The objectives of LFC are to minimize the transient deviations in area frequency and tie-line power interchange and to ensure their steady state errors to be zeros. Objective of AVR is to regulate the excitation of generator in order to match the reactive power demand.
The main objective in this research work is to develop a new simple and systematic way of designing Variable Structure Controller (VSC) and dual Proportional-Integral (PI) controller to power system dynamic problems. The validation of the proposed controllers is studied. The design of VSC and the dual PI controller is considered as an optimization problem and uses Artificial Bee Colony (ABC) and Genetic Algorithm (GA) in the design procedure. Linear and nonlinear models of the investigated systems are considered. Results have been compared with the conventional controller based on Zeigler-Nichols (ZN) method. A decentralized load frequency control based VSC and dual PI controller is proposed and results are compared with respect to the conventional control. The interaction between AVR and AGC is reduced and the dynamic behavior of the system is improved. Parallel processing is applied to two area LFC and two area LFC with AVR. To demonstrate the decentralized control and decoupling of each area in a multi area power system, a parallel microprocessor network is obtained and simulated using MATLAB/SIMULINK. Each area with its control is simulated and represented as a microprocessor. A central processor is used to exchange the necessary data for each area. The main idea of such parallel processing architecture is to reduce the computation time, especially for large power system which consists of several areas.