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Journal of Artificial Intelligence in Electrical Engineering
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Babakhani Qazijahan, M. (2014). Load Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm. Journal of Artificial Intelligence in Electrical Engineering, 3(9), 18-26.
Milad Babakhani Qazijahan. "Load Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm". Journal of Artificial Intelligence in Electrical Engineering, 3, 9, 2014, 18-26.
Babakhani Qazijahan, M. (2014). 'Load Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm', Journal of Artificial Intelligence in Electrical Engineering, 3(9), pp. 18-26.
Babakhani Qazijahan, M. Load Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm. Journal of Artificial Intelligence in Electrical Engineering, 2014; 3(9): 18-26.

Load Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm

Article 3, Volume 3, Issue 9, Spring 2014, Page 18-26  XML PDF (529.78 K)
Author
Milad Babakhani Qazijahan
Abstract
The purpose of load frequency control is to reduce transient oscillation frequencies than its nominal value
and achieve zero steady-state error for it.A common technique used in real applications is to use the
proportional integral controller (PI). But this controller has a longer settling time and a lot of Extra
mutation in output response of system so it required that the parameters be adjusted as appropriate . In this
paper, we aim to design a system based on PI controllers using improved particle swarm optimization
algorithm for load frequency control .Multi-population approach and local search to improve the
optimization algorithms is used and displayed. That this approach will lead to accelerating the achievement
of results, preventing entrapment in a local minimum, and get better system output compared with similar
methods.
Keywords
Load Frequency Control; proportional integral control; improved particle swarm optimization algorithm
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