Simulation of wind farm scheduling algorithm based on predictive model control

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Abstract

In this paper, a simulation study is carried out on the coordinated active and reactive dispatch of wind farm based on Model Predictive Control (MPC). Compared with the traditional scheduling algorithm, this method combines the active and reactive scheduling, and balances the active and reactive target by changing the weight coefficients of the cost functions. The proposed control method can not only track the scheduling instructions accurately and smoothly, but also can make fluctuations of bus’ voltage in the wind farm stable. Therefore the anti-perturbation capability of wind farm system is improve. A simulation model is built in MATLAB/SIMULINK environment, and the results show that the MPC is effective for wind power dispatch.

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Luo, Z., Wei, S., Chai, Y., Liu, Y., & Sun, X. (2018). Simulation of wind farm scheduling algorithm based on predictive model control. In Lecture Notes in Electrical Engineering (Vol. 460, pp. 581–591). Springer Verlag. https://doi.org/10.1007/978-981-10-6499-9_56

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