پیش بینی کنترل قدرت مستقیم بر پایه مبدل متصل به شبکه نوع T
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پیش بینی کنترل قدرت مستقیم بر پایه مبدل متصل به شبکه نوع T

عنوان فارسی مقاله: مدل پیش بینی کنترل قدرت مستقیم بر پایه مبدل متصل به شبکه نوع-T بهبود یافته
عنوان انگلیسی مقاله: Model Predictive Direct Power Control Based on Improved T - type Grid Connected Inverter
مجله/کنفرانس: مجله مباحث در حال ظهور و منتخب در الکترونیک قدرت - Journal of Emerging and Selected Topics in Power Electronics
رشته های تحصیلی مرتبط: مهندسی برق
گرایش های تحصیلی مرتبط: مهندسی کنترل، مهندسی الکترونیک، سیستم های قدرت
کلمات کلیدی فارسی: اینورتر نوع T پیشرفته، کنترل قدرت مستقیم پیش بینی مدل، تعادل ولتاژ نقطه خنثی، سه سطح، اتصال به شبکه
کلمات کلیدی انگلیسی: Improved T-type inverter، Model predictive direct power control، neutral point voltage balance، three-level، Grid- connected
نمایه: JCR - Master Journal List - Scopus
شناسه دیجیتال (DOI): https://doi.org/10.1109/JESTPE.2018.2871113
دانشگاه: Guoliang Yang Department of Electrical Engineering and Automation, Yanshan University, Qinhuangdao, China
ناشر: آی تریپل ای - IEEE
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 6/604 در سال 2017
شاخص H_index: 35 در سال 2019
شاخص SJR: 1/657 در سال 2017
شناسه ISSN: 2168-6785
شاخص Quartile (چارک): Q1 در سال 2017
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 10
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
کد محصول: E10872
فهرست انگلیسی مطالب

Abstract


I- Introduction


II- Improved t-type three-level inverter


III- Grid system mathematical model


IV- Model predictive direct power control strategy


V- Simulation and experiment


VI- Conclusion


References

نمونه متن انگلیسی مقاله

Abstract


In this paper, the improved T-type three-level topology can significantly reduce the conduction loss in zero states compared with the traditional T-type three-level topology. In the DQ rotating coordinate system, a control method combining the model predictive algorithm and the direct power control is proposed. This control method divides 27 kinds of switch states into two groupsand decides which group of switch states is to be scrolled optimally by comparing the two capacitor voltages on the DC side. This method reduces the computational burden by reducing the number of rolling optimization under the condition of ensuring the neutral point voltage balance. Compared with the traditional multilevel model predictive control, the method eliminates the need of predicting the neutral point voltage as well as the cost function computation, and the control method is more direct and effective. Simulation and experimental results show that the proposed model predictive direct power control (MPDPC) method based on the improved T-topology can improve system robustness, fast dynamic response, wide operating range and stability.


Introduction


The inverter is a key part of the grid-connected system. It has high requirements on the quality and conversion efficiency of the waveform. A control method with good performance is very important. Improved T-type three-level inverter not only inherits the advantages of the traditional T-type three-level converter such as less component count,no clamping diodes through the current path,but also has more excellent performance in conduction loss. Compared with the traditional T-type three-level inverter topology, the improved T-type inverter reduces conduction losses by 90% under zero-vector conditions, which is equivalent to a total loss reduction of 30% [1]. MPC (Model Predictive Control) has the advantages of fast dynamic response, strong anti-interference ability, the low requirement on the model and the obvious advantages in dealing with nonlinear systems and multi-control targets. Ever since its inception, it has been constantly welcomed by industries system with strong disturbances and time-varying large inertia. It has been widely used in power electronics [2], motor-driven [3], solar wind power conversion [4],[5] and another control system. However, the traditional model predictive control increases dramatically as the number of levels increases and the number of control objectives increases. Direct power control has the advantages of good robustness, fast dynamic response, and a simple control structure. It has been widely used in practice. In this paper, the combination of model predictive control and direct power control not only inherits the advantages of good robustness of direct power control and simple control structure but also achieves the control of neutral point balance and constant power output.

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