Abstract
This paper presents the design and implementation of proportional integral derivative (PID) structured centralized and decentralized automatic generation control (AGC) controllers in a more realistic 2-area interconnected power system with multi sources power plants in each area. The standard search technique; genetic algorithms (GAs) is adapted to search the optimal parameters of centralized and decentralized AGC controllers by developing integral square error (ISE) performance index as an objective function. However, the systems dynamic responses are obtained to compare performance of these AGC controllers for 1% step load disturbance at respective control areas in power systems. It has been investigated that when centralized AGC scheme is implemented for mitigating load disturbance in power system, the disturbed area is responsible to generate the extra power to cope with local load disturbance. Besides, it has also been observed that when decentralized AGC scheme was implemented in power systems, both the areas are responsible to remove load disturbance by contributing generation, which is equal to load disturbance.
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