AUTHORS: K. Jagatheesan, B. Anand, Nilanjan Dey, Amira S. Ashour

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ABSTRACT: ProportionalIntegral Derivative (PID) and Proportional Integral (PI) controllers are applied into the power system to examine the controller performance. Therefore, this work describes the application of an Artificial Intelligence (AI) optimization technique to design Proportional Integral Derivative (PID) controller for Load Frequency Control (LFC) of single area re heat thermal power system. The PI-/ PID- controllers gain values are optimized using conventional method and AI optimization technique; respectively. Further, the proposed technique effectiveness is analyzed by considering non linearity and Boiler dynamics into the same power system. Comparing the power system response with/ without non linearity, it is proved that the response will have more oscillation in the case of using non linearity and boiler dynamics (BD). Moreover, robustness of the analysis is carried out via varying the governor s time constants, turbine, re heater and power system in about +50% to -50% from its nominal value by the 25% step.

KEYWORDS: Artificial Intelligence; Ant Colony Optimization; Load Frequency Control; Non linearity; Proportional-Integral Derivative (PID) controller

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