增强LVRT能力的逆变器多电能质量优化预测控制

汪海宁, 冯博文, 耿将, 谢缔, 汪亮亮, 张鹏

太阳能学报 ›› 2025, Vol. 46 ›› Issue (4) : 91-102.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (4) : 91-102. DOI: 10.19912/j.0254-0096.tynxb.2023-1786

增强LVRT能力的逆变器多电能质量优化预测控制

  • 汪海宁1, 冯博文1, 耿将1, 谢缔2, 汪亮亮2, 张鹏1
作者信息 +

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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文章历史 +

摘要

提出一种适应三电平逆变器低电压穿越(LVRT)的多目标模型预测电流控制策略,无需电流正负序分离和滤波电网电压前馈,在跌落过程中不会出现过电流;给出αβ轴下功率/电流质量优化的指令电流计算通式,通过调整修正系数矩阵,实现功率波动、负序电流和谐波电流之间的协调控制,提高逆变器在LVRT过程中的动态响应及多电能质量优化能力。仿真和实验验证所提方法动态响应的优越性。

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.

关键词

三电平 / 逆变器 / 模型预测控制 / 电能质量 / 电压跌落 / 低电压穿越

Key words

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

引用本文

导出引用
汪海宁, 冯博文, 耿将, 谢缔, 汪亮亮, 张鹏. 增强LVRT能力的逆变器多电能质量优化预测控制[J]. 太阳能学报. 2025, 46(4): 91-102 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1786
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
中图分类号: TM464   

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基金

高等学校学科创新引智计划(BP0719039)

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