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.
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.
MLA
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.
HARVARD
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.
VANCOUVER
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.
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