WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 13, 2018
Optimal PID Parameters based Ant Colony Optimization Algorithm of Power System with Non-Linearity and Boiler Dynamics
Authors: , , ,
Abstract: Proportional–Integral-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.
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Keywords: Artificial Intelligence, Ant Colony Optimization, Load Frequency Control, Non-linearity, Proportional-Integral-Derivative (PID) controller
Pages: 113-121
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 13, 2018, Art. #14