A Novel Modulation Method for Capability of Reactive Power Injection in Single-Phase Transformerless Photovoltaic H5 Inverter
Publish place: The first international conference of modern research engineers in electricity and computer
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 666
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CBCONF01_1071
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
H5 is among the popular topologies used in the single phase photovoltaic systems due to its low leakage current and high efficiency. As the power capacity of photovoltaic systems is increasingly growing, grid standards should consider reactive power control for distributed solar generation units. In single-phase photovoltaic systems, this capability contributes to power quality of the grid. In this paper, the capability of the H5 topology for operating in power factors other than unity is analyzed in detail. The two conventional modulation methods proposed in earlier works, are evaluated according to the capability of reactive power injection, the leakage current issue, and efficiency of the topology. Moreover, a novel modulation method is proposed enabling the reactive power injection with less switching. In addition, switches’ stresses are reduced owing to the proposed modulation method. The advantages of the proposed method are validated using accurate MATLAB/SIMULINK simulations.
Keywords:
Authors
Gholam Reza Moradi
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
Alireza Ramyar
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
Ehsan Afshari
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
Babak Farhangi
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :