Performance Analysis of Automatic Generation Control for a Multi-Area Interconnected System Using Genetic Algorithm and Particle Swarm Optimization Technique

Main Article Content

Nafisa Tabassum
Effat Jahan
Niloy Goswami
Md. Saniat Rahman Zishan

Abstract

The primary focus of this paper is to assess an interconnected power system using different optimization techniques. The main purpose is to employ different optimization techniques, including genetic algorithms (GA) and particle swarm optimization (PSO), to systematically enhance the performance of a multi-area or two-area automatic generation control (AGC) system, aiming to optimize the three PID controllers gain values and improve system performance under diverse loading conditions. Two case studies are conducted exploring different loading conditions in the megawatt (MW) range, including increasing load demand and decreasing load demand. The analysis involves four scenarios, covering without any kind of controller, another with solely a proportional integral derivative (PID) controller, a PID controller enhanced through a genetic algorithm (GA), and lastly, a PID controller improved through particle swarm optimization (PSO). The optimization process utilizes the integral time absolute error (ITAE) as the objective function to evaluate the system's performance. The simulation outcomes for ITAE, settling time, overshoot, and undershoot for frequency deviation of area one, area two, and power deviation in the tie-line are compared with previous similar studies to assess the novelty of this work. The article highlights the importance of the multi-area AGC system and the significance of different optimization techniques in improving its performance.

Article Details

How to Cite
[1]
N. Tabassum, E. Jahan, N. Goswami, and M. S. R. Zishan, “Performance Analysis of Automatic Generation Control for a Multi-Area Interconnected System Using Genetic Algorithm and Particle Swarm Optimization Technique”, AJSE, vol. 23, no. 1, pp. 42 - 53, Apr. 2024.
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Articles
Author Biographies

Nafisa Tabassum, American International University-Bangladesh

Nafisa Tabassum earned her BSc. Engg. Degree in Electrical & Electronic Engineering (EEE) from the American International University-Bangladesh (AIUB) in 2022. Currently, she is pursuing her MSc. in EEE at the same institution. Her research interest focused on power system optimization and the integration of the Internet of Things (IoT) to advance the field of electrical engineering, exploring innovative intersections between these domains.

Effat Jahan, American International University-Bangladesh

Effat Jahan graduated from American International University-Bangladesh (AIUB) in 2013 and 2014 with a B.Sc. Engg. and an M.Sc. Engg. in Electrical and Electronic Engineering, respectively. She also achieved the Magna Cum Laude (academic honor) award for her outstanding performance in her Bachelor's degree program. Her Ph.D. degree was at the Kitami Institute of Technology (KIT) in Japan. Her Ph.D. research focuses on power system frequency stabilization, including large-scale offshore wind farms, VSC-HVDC transmission system design and analysis, and power system dynamics analysis. She is currently working as an Assistant Professor in the Electrical and Electronic Engineering Department.

Niloy Goswami, American International University-Bangladesh

Niloy Goswami received his BSc. degree in Electrical & Electronic Engineering (EEE) in 2021 from American International University-Bangladesh (AIUB) and is currently pursuing his MSc. in EEE from AIUB. He is currently working as a Teaching Assistant in the Faculty of Engineering, Department of EEE at AIUB. The areas of his research focus include power system control and optimization, the application of patch antennas in biomedical engineering, and the role of patch antennas in the evolution of next-generation wireless communication.

Md. Saniat Rahman Zishan, American International University-Bangladesh

Md. Saniat Rahman Zishan received B.Sc. in Electrical and Electronic Engineering and Master of Engineering in Telecommunications degree from American International University-Bangladesh (AIUB). He completed PhD from Universiti Sultan Zainal Abidin in the field of e-Health. On September 2009, he started his teaching career as a lecturer in AIUB. At present he is serving as an Associate Professor and Director of the Faculty of Engineering in the same university. He also worked as the Special Assistant of Office of Student Affairs (OSA) from December 2012 to till September 2018. Mr. Zishan has published more than 50 articles in different journals and international and national level conferences. His research interest includes e-Health, wireless Communication, Signal Processing, Telemedicine and Robotics. Mr. Zishan is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Institution of Engineers, Bangladesh (IEB).

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