MULTI POWER QUALITY OPTIMIZATION PREDICTIVE CONTROL OF INVERTER FOR ENHANCED LVRT CAPABILITY

Wang Haining; Feng Bowen; Geng Jiang; Xie Di; Wang Liangliang; Zhang Peng

doi:10.19912/j.0254-0096.tynxb.2023-1786

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (4) : 91-102. DOI: 10.19912/j.0254-0096.tynxb.2023-1786

MULTI POWER QUALITY OPTIMIZATION PREDICTIVE CONTROL OF INVERTER FOR ENHANCED LVRT CAPABILITY

Wang Haining¹, Feng Bowen¹, Geng Jiang¹, Xie Di², Wang Liangliang², Zhang Peng¹

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Abstract

A multi-objective model predictive current control strategy tailored for enhancing low voltage ride through （LVRT） performance with three-level inverters is introduced. This strategy eliminates the necessity for current polarity discrimination and grid voltage feedforward filtering, thereby guaranteeing the absence of overcurrent during voltage drops. Furthermore, it provides a universal formulation for calculating commanded currents in the αβ axis, aimed at optimizing both power and current quality. By adjusting the correction coefficient matrix, coordinated control among power fluctuation, negative sequence current, and harmonic currents is possible. It enhances the dynamic response and multi-power quality optimization capability of inverters during LVRT processes. The superior dynamic performance of the proposed method is verified through both simulation studies and experiments.

Key words

three-level / inverter / model predictive control / power quality / voltage drop / low voltage ride-through

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Wang Haining, Feng Bowen, Geng Jiang, Xie Di, Wang Liangliang, Zhang Peng. MULTI POWER QUALITY OPTIMIZATION PREDICTIVE CONTROL OF INVERTER FOR ENHANCED LVRT CAPABILITY[J]. Acta Energiae Solaris Sinica. 2025, 46(4): 91-102 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1786

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