RESEARCH ON LOW COMPLEXITY FIXED FREQUENCY MODEL PREDICTIVE CONTROL OF THREE LEVEL GRID CONNECTED INVERTER

Zhang Chuanjin; Wang Ke; Zhang Xing; Tang Yi; Li Yutan

doi:10.19912/j.0254-0096.tynxb.2024-1619

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 323-333. DOI: 10.19912/j.0254-0096.tynxb.2024-1619

RESEARCH ON LOW COMPLEXITY FIXED FREQUENCY MODEL PREDICTIVE CONTROL OF THREE LEVEL GRID CONNECTED INVERTER

Zhang Chuanjin^1,2, Wang Ke¹, Zhang Xing¹, Tang Yi³, Li Yutan^1,2

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Abstract

In order to solve the problems of variable switching frequency and large rolling optimization calculation in traditional three-level grid connected inverter model predictive control, a low complexity fixed switching frequency model predictive control strategy is proposed for three-level grid connected inverter. Firstly, utilizing the mechanism of action of redundant small vectors on the neutral-point potential, a reference current tracking single objective function is constructed. Then, rolling optimization of the voltage middle-axis vector and combining it with the q-axis component of the target prediction error to locate the optimal core area, the optimal three vectors are determined after a second rolling optimization. Further optimize the allocation of vector action time based on the error value generated by the selected voltage vector in the evaluation of the objective value function. Finally, the proposed low complexity fixed frequency model predictive control strategy is validated through Matlab/Simulink simulation model and three-level grid connected inverter experimental platform.

Key words

inverters / model predictive control / switching frequency / three-level / distributed power / low complexity

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Zhang Chuanjin, Wang Ke, Zhang Xing, Tang Yi, Li Yutan. RESEARCH ON LOW COMPLEXITY FIXED FREQUENCY MODEL PREDICTIVE CONTROL OF THREE LEVEL GRID CONNECTED INVERTER[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 323-333 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1619

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