Illias, H.A. and Nurjannah, N. and Mokhlis, Hazlie (2021) Optimal performance of automatic generation control for two-area power system using particle swarm optimization. In: 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021, 27 November 2021, Virtual, Online.
Full text not available from this repository.Abstract
The importance of automatic generation control (AGC) in the field of power system cannot be denied due to the demand of a reliable and stable power supply. AGC in power systems is implemented to retain reasonable constant frequency, to control the schedules of tie-line interchange in different power system areas and to split the load among generators. The performance of AGC has to be optimized properly by selecting suitable parameters of control elements in the system. In this work, performance optimization of AGC for two-area power system is proposed using particle swarm optimization (PSO) by selecting suitable parameters of proportional-integral-derivative (PID) controllers. The proposed method using PSO algorithm was compared with the system without PID controller, with a PID controller in one area only and a PID controller in all areas. From the results obtained, it was found that PSO and a PID controller in both areas of the system is the most suitable technique for optimizing the performance of the AGC for power system of two-area. © 2021 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | RU SATU [Grant No: ST071-2021], UM Living Labs [Grant No: GPF077A-2018, IIRG001B-2020IISS, LL046-2019] |
| Uncontrolled Keywords: | Controllers; Electric control equipment; Electric power system control; Power control; Proportional control systems; Three term control systems; Two term control systems, Automatic Generation; Automatic generation control; Generation controls; Optimal performance; Performance; Power; Power supply; Power systems control; Proportional-integral-derivatives controllers; Two area power system, Particle swarm optimization (PSO) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 28 Oct 2024 02:59 |
| Last Modified: | 28 Oct 2024 02:59 |
| URI: | http://eprints.um.edu.my/id/eprint/36119 |
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