NOVEL HARMONIC SUPPRESION STRATEGY FOR THREE-LEVEL GRID-CONNECTED INVERTER BASED ON FINITE CONTROL SET MODEL PREDICTIVE CONTROL

Hong Jianfeng, Zhang Xing, Cao Renxian, Xu Chengjun

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 184-190.

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 184-190. DOI: 10.19912/j.0254-0096.tynxb.2020-0792
Topics on Key Technologies for Safety of Electrochemical Energy Storage Systems and Echelon Utilization of Decommissioned Power Batteries

NOVEL HARMONIC SUPPRESION STRATEGY FOR THREE-LEVEL GRID-CONNECTED INVERTER BASED ON FINITE CONTROL SET MODEL PREDICTIVE CONTROL

  • Hong Jianfeng1,2, Zhang Xing1,2, Cao Renxian1,2, Xu Chengjun1,2
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Abstract

Finite set model predictive control applied to high-power grid-connected inverters can reduce the switching frequency while controlling the grid-connected current. However, as the switching frequency decreases, the harmonics of the grid-connected current become significantly larger. Aiming at this problem, an improved finite set model predictive control method with a new harmonic suppression strategy is proposed. The objective of harmonic suppression is added to the multi-objective optimization process of finite set model predictive control. The suppression strategy is realized by extracting the harmonic amplitude based on the orthogonality of the trigonometric function. The proposed method reduces the harmonic content of the grid-connected current at the same low switching frequency some as the traditional method, thereby improving the quality of the grid-connected current. Finally, the effectiveness of the proposed method is verified by experiment.

Key words

grid-connected inverter / predictive control / harmonic / three-level

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Hong Jianfeng, Zhang Xing, Cao Renxian, Xu Chengjun. NOVEL HARMONIC SUPPRESION STRATEGY FOR THREE-LEVEL GRID-CONNECTED INVERTER BASED ON FINITE CONTROL SET MODEL PREDICTIVE CONTROL[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 184-190 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0792

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