Load Frequency Control Optimization using PSO Based Integral Controller
Vandana Dhawane1, Rajankumar bichkar2

1Vandana Dhawane, Department of Instrumentation Engineering, D. V.V. P.F’s Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar (Maharashtra), India.
2Dr. Rajankumar S. Bichkar, Principal, Vidya Pratishtan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati (Maharashtra), India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on March 30, 2020. | PP: 97-103 | Volume-8 Issue-6, March 2020. | Retrieval Number: E6749018520/2020©BEIESP | DOI: 10.35940/ijrte.E6749.038620

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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: This paper presents Automatic Generation Control (AGC) of a power system using integral controller. In the present day power systems, it has become absolutely essential to maintain the quality of the power generated indicating the need of a robust system that can handle parameter uncertainties neglecting disturbances. Although,extensive research has been done in thisarea, design of an efficient and robust system still remains one of the important issues that need to be addressed. Hence in this paperan integral controller has been designed for a single-area thermal power system without reheat turbine. The optimum controller gain is obtained by Particle Swarm Optimization (PSO) based on Integral of Absolute Error (IAE) and Integral of Square Error (ISE) criterion. The second part of the investigation includes robustness testing of the designed controller against different load conditions and plant parameter variations. The results obtained are compared to those obtained by other control methodologies presented in the recent literature. The results of the simulation validate the superiority of the approach in terms of improvement in the transient response and robustness to plant parameter variations.
Keywords: AGC, single-area thermal power plant, optimization, robustness, PSO.
Scope of the Article: Frequency Selective Surface