Performance of 2-DOF PID controller in AGC of two area interconnected power system using PSO algorithm

Peddakapu, Kurukuri and Mohd Rusllim, Mohamed and Srinivasarao, P. and Kishore, Dokala Janandra Krishna and Koteswararao, D.A. and Swamy, P. S.P.R. (2022) Performance of 2-DOF PID controller in AGC of two area interconnected power system using PSO algorithm. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 119-133., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4

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Abstract

Automatic generation control (AGC) serves a great performance in conventional power systems for delivering the reliability of power supply to all consumers. The toughest task in the multi-area power system is to stabilize the changes in frequency and inter-area line power. In this work, proportional integral (PI), proportional integral derivative (PID), and 2-degree freedom of PID (2-DOF-PID) controllers are proposed in AGC system for nullifying the unnecessary oscillations in frequency and tie-line power. When the system would be complex, then these controllers do not give efficient outcomes because of it having fixed gain values. Therefore, in this work, particle swarm optimization (PSO) algorithm is formulated for tuning the gain values of the suggested controllers in multi-area interconnected system. In order to alleviate the frequency and inter-area power line deviations, the tuned 2-DOF-PID controller has rendered a better dynamic performance with respect to settling time, overshoot and undershoot. Likewise, the robustness of the system has ascertained while fluctuating the loading circumstances and system specifications up ±25% from their prescribed values which helped to exhibit the ability of the recommended method. Finally, the simulation outcomes disclosed the PSO optimized 2-DOF-PID has given the favorable dynamic performance over the other control approaches.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	2-DOF PID; Automatic generation control; Multi-source power system; Particle swarm optimization algorithm; Sensitivity analysis
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	08 Dec 2023 04:18
Last Modified:	08 Dec 2023 04:18
URI:	http://umpir.ump.edu.my/id/eprint/39561
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