An intelligent dc current minimization method for transformerless grid-connected photovoltaic inverters.

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ID: 75110
2019
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Abstract
Due to the scaling and zero-drift of current sensor errors, unbalanced grid voltages, tolerance of power switching devices, and asymmetry of PWM gate driving pulses, transformerless grid-connected inverters usually have certain amount of dc components injected to the ac grid. Therefore, power quality of the grid is degraded. Many efforts, such as using blocking capacitors, a dc current feedback control method, and a voltage dc component feedback control method, etc., have been introduced to minimize the dc injection. This paper proposes an intelligent control strategy of dc current injection suppression to the grid by utilizing adaptive-back-propagation (ABP) neural network PID controller. The performance of the proposed scheme is evaluated and compared with the traditional and existing method. Finally, the control scheme is verified on a 2-kW three-phase grid-connected inverter in the laboratory.
Reference Key
long2019anisa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Long, Bo;Huang, LiJun;Sun, HongBin;Chen, Yong;Victor, Freret;Chong, Kil To;
Journal ISA transactions
Year 2019
DOI
S0019-0578(18)30496-8
URL
Keywords
power quality adaptive-back-propagation neural network dc current injection three-phase grid-connected inverter

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