PID Controller Adjustment using Particle Swarm Optimization for Multi-Area Load Frequency Control Said A. Kotb Magdy M. Z. Abdelaal Ahmed R. Adly ETRR-2,Nuclear Research Center, Atomic Energy Authority, Egypt
Zaky, M., Adly, A., Sabry, S. (2019). PID Controller Adjustment using Particle Swarm Optimization for Multi-Area Load Frequency Control Said A. Kotb Magdy M. Z. Abdelaal Ahmed R. Adly ETRR-2,Nuclear Research Center, Atomic Energy Authority, Egypt. EKB Journal Management System, 52(3), 34-42. doi: 10.21608/ajnsa.2019.4923.1114
Magdy Mahmoud Zaky; Ahmed Ramadan Adly; Said Abdou Sabry. "PID Controller Adjustment using Particle Swarm Optimization for Multi-Area Load Frequency Control Said A. Kotb Magdy M. Z. Abdelaal Ahmed R. Adly ETRR-2,Nuclear Research Center, Atomic Energy Authority, Egypt". EKB Journal Management System, 52, 3, 2019, 34-42. doi: 10.21608/ajnsa.2019.4923.1114
Zaky, M., Adly, A., Sabry, S. (2019). 'PID Controller Adjustment using Particle Swarm Optimization for Multi-Area Load Frequency Control Said A. Kotb Magdy M. Z. Abdelaal Ahmed R. Adly ETRR-2,Nuclear Research Center, Atomic Energy Authority, Egypt', EKB Journal Management System, 52(3), pp. 34-42. doi: 10.21608/ajnsa.2019.4923.1114
Zaky, M., Adly, A., Sabry, S. PID Controller Adjustment using Particle Swarm Optimization for Multi-Area Load Frequency Control Said A. Kotb Magdy M. Z. Abdelaal Ahmed R. Adly ETRR-2,Nuclear Research Center, Atomic Energy Authority, Egypt. EKB Journal Management System, 2019; 52(3): 34-42. doi: 10.21608/ajnsa.2019.4923.1114

PID Controller Adjustment using Particle Swarm Optimization for Multi-Area Load Frequency Control Said A. Kotb Magdy M. Z. Abdelaal Ahmed R. Adly ETRR-2,Nuclear Research Center, Atomic Energy Authority, Egypt

Arab Journal of Nuclear Sciences and Applications
Article 4, Volume 52, Issue 3, July 2019, Page 34-42  XML PDF (1.13 MB)
Document Type: Original Article
DOI: 10.21608/ajnsa.2019.4923.1114
View on SCiNiTO View on SCiNiTO
Authors
Magdy Mahmoud Zaky email 1; Ahmed Ramadan Adly2; Said Abdou Sabry2
1ETRR-2, EAEA, Egypt
2ETRR-2, EAEA
Abstract
This paper present particle swarm optimization based study of multi area power network. Particle swarm optimization and Fuzzy system inferences have been employed to effectively obtain the optimized gains of PID controller. Any change in the load demand causes generator’s shaft speed lower than the pre-set value and the system frequency deviates from the standard value results in malfunctioning of frequency relays. A three area load frequency model is constructed in Matlab/Simulink by implementing the PID controllers to control the frequency deviation on the three areas together and each area to illustrate the effect of frequency deviation on the integrated model. One of these areas is a nuclear power plant. Performance of the proposed controller is compared with fuzzy system based PID controller and conventional PID controller to indicate the excellence of the proposed algorithm for PID parameters regulation. Simulations performed show the effectiveness of the current approach over simple fuzzy inferences in terms of performance as well as execution efficiency.
Keywords
Load frequency control; Nuclear power plant; fuzzy control system; Particle Swarm Optimization
Statistics
Article View: 426
PDF Download: 517