Automatic generation control of an interconnected power system

• Published in: International journal of ambient energy Vol. 43; no. 1; pp. 5616 - 5626
• Main Authors: Ali, Ali M., Saad, Mohamed S., El-Amari, Adel A., Moustafa Hassan, Mohammed A.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 31.12.2022
• Subjects: Automatic generation control (AGC); Egyptian Power System (EPS); Interconnected Power System; Load Frequency Control (LFC); Particle Swarm Optimisation (PSO); Rate Of Change Of Frequency (ROCOF)
• ISSN: 0143-0750; 2162-8246
• DOI: 10.1080/01430750.2021.1969273

In this article, Particle Swarm Optimisation (PSO) algorithm is used to obtain the controller gain for Automatic Generation Control (AGC) of the representation of an Interconnected Power System (IPS), to meet the growth of electric energy needed for the sustainable development of most countries. The main task of AGC is to restore the primary frequency tuning ability, retrieving the frequency to its nominal value and decrease unscheduled tie-line power flows between neighbouring control areas. The proposed controller is designed using real statistical data of the Egyptian Power System (EPS) for maximum and minimum loading conditions of the EPS during the summer and winter of 2019-2020. The robustness of the suggested controller is verified by applying the proposed controller and study the effect of outage of the largest generation unit in the IPS on the grid frequency. The results show that the proposed PSO-based controller gives the best dynamic response for a step load change. MATLAB-Simulink software is used for obtaining the results.