Comparative study of PSO/PI and PSO/PID Approaches for AGC of Two Area Interconnected Thermal Power System
Niharika Soni1, Rajesh Bhatt2, Girish Parmar3
1Niharika Soni, Department of Electronics Engineering, Rajasthan Technical University, Kota (Rajasthan). India.
2Rajesh Bhatt, Department of Electronics Engineering, Rajasthan Technical University, Kota (Rajasthan). India.
3Girish Parmar, Department of Electronics Engineering, Rajasthan Technical University, Kota (Rajasthan). India.
Manuscript received on 20 July 2016 | Revised Manuscript received on 30 July 2016 | Manuscript published on 30 July 2016 | PP: 27-31 | Volume-5 Issue-3, July 2016 | Retrieval Number: C1609075316©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The solution of one or more control optimization problems regarding automatic generation control (AGC) through the efficient techniques are required in interconnected areas of power system. Heuristic optimization methods have replaced the analytical methods to tune the parameters of controllers used in power system since the analytical methods suffer from slow convergence and the curse of dimensionality. In the same direction, the Particle Swarm Optimization (PSO) technique among the swarm intelligence family has been applied in order to improve the performance of the two area interconnected thermal power plants. Proportional Integral Derivative (PID) controllers and Proportional Integral (PI) controllers have been employed in the system under study and the PSO optimization technique has been used to optimize the parameters of PI and PID controllers by considering the Integral Time Multiplied by Absolute Error (ITAE) as the objective function. Both the approaches PSO/PI and PSO/PID have been compared for the same system under investigation to show the superiority of the PSO/PID approach. The results have been simulated with the MATLAB /SIMULINK environment and it has been shown that PSO optimized PID controllers for the LFC provides the better dynamic responses than PSO optimized PI controllers for same system.
Keywords: Automatic Generation Control, Two Areas Interconnected Power Systems, PID-Controllers, Particle Swarm Optimization.
Scope of the Article: Cyber Physical Systems (CPS)