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Summary: PSO Based Nonlinear Predictive Control of
Single Area Load Frequency Control
M. S. Yousuf
H. N. Al-Duwaish
Z. M. Al-Hamouz
King Fahd University of Petroleum & Minerals, Dhahran, Saudi
Arabia (e-mail: syousuf@kfupm.edu.sa)
King Fahd University of Petroleum & Minerals, Dhahran, Saudi
Arabia (e-mail: hduwaish@kfupm.edu.sa)
King Fahd University of Petroleum & Minerals, Dhahran, Saudi
Arabia (e-mail: zhamouz@kfupm.edu.sa)
Abstract: A new Model Predictive Control (MPC) algorithm is proposed which is based
on Particle Swarm Optimization (PSO). The proposed method formulates the MPC as an
optimization problem and PSO is used to find the solution to that optimization problem.
The method is applied to the Load Frequency Control (LFC) of a single area power system
to illustrate the performance of the proposed algorithm in the presence of system parameter
variations as well as nonlinearities. It is seen that the variations in load frequency are handled
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