Finite Control Set Model Predictive Control for Parallel Connected Online UPS System under Unbalanced and Nonlinear Loads

Hussain Sarwar Khan, Muhammad Aamir, Muhammad Ali, Asad Waqar, Syed Umaid Ali and Junaid Imtiaz
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Hussain Sarwar Khan: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Muhammad Aamir: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Muhammad Ali: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Asad Waqar: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Syed Umaid Ali: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan
Junaid Imtiaz: Department of Electrical Engineering, Bahria University, Islamabad 44000, Pakistan

Energies, 2019, vol. 12, issue 4, 1-20

Abstract: In this paper, the finite control set model predictive control (FCS–MPC) technique-based controller is proposed for the inverter of the uninterrupted power supply (UPS) system. The proposed controller uses the mathematical model of the system to forecast the response of voltage for each possible switching state for every sampling instant. Following this, the cost function was used to determine the switching state, applied to the next sampling instant. First, the proposed control strategy was implemented for the single inverter of the UPS system. Finally, the droop control strategy was implemented for parallel inverters to guarantee actual power sharing among a multiple-parallel UPS system. To validate the performance of the proposed controller under steady-state conditions and dynamic-transient conditions, extensive simulations were conducted using MATLAB/Simulink. The proposed work shows a low computational burden, good steady state performance, fast transient response, and robust results against parameter disturbances as compared to linear control. The simulation results showed that total harmonic distortion (THD) for the linear load was 0.9% and THD for the nonlinear load was 1.42%.

Keywords: model predictive control; UPS system; parallel connected (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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