•  Persian
    • Persian
    • English
  •   ورود
  • دانشگاه فردوسی مشهد
  • |
  • مرکز اطلاع‌رسانی و کتابخانه مرکزی
    • Persian
    • English
  • خانه
  • انواع منابع
    • مقاله مجله
    • کتاب الکترونیکی
    • مقاله همایش
    • استاندارد
    • پروتکل
    • پایان‌نامه
  • راهنمای استفاده
View Item 
  •   کتابخانه دیجیتال دانشگاه فردوسی مشهد
  • Fum
  • Articles
  • ProfDoc
  • View Item
  •   کتابخانه دیجیتال دانشگاه فردوسی مشهد
  • Fum
  • Articles
  • ProfDoc
  • View Item
  • همه
  • عنوان
  • نویسنده
  • سال
  • ناشر
  • موضوع
  • عنوان ناشر
  • ISSN
  • شناسه الکترونیک
  • شابک
جستجوی پیشرفته
JavaScript is disabled for your browser. Some features of this site may not work without it.

Adaptive Predictive-DPC for a Grid Connected Low-Cost PV Generator

نویسنده:
حسین غلامی خشت
,
محمد منفرد
,
Hosein Gholami
,
Mohammad Monfared
سال
: 2015
چکیده: Pulse-width modulated (PWM) voltage source converters (VSCs) with various control strategies are used as PV inverters. Recently, methods based on predictive control have become of great interest due to various advantages they offer, the main being superior dynamic behavior, simple structure and concepts and ease of implementation and accordance to inherent discrete nature of power electronic converters. In this study, an augmented discrete model for the VSC is derived, based on which, an improved deadbeat-DPC scheme for the grid connected PWM-VSC which utilizes the adaptive observer in its structure is proposed. States and input disturbances are estimated by using full order adaptive observer in next sampling period and then by using the system model, the converter reference voltage is selected so that the power errors become zero in the end of the two next sampling periods. It provides the sensorless operation of the converter by eliminating the filter current sensor, that reduces the inverter cost and helps compensate for uncertainties by one step ahead estimation of parameters and un-modeled dynamics.
یو آر آی: http://libsearch.um.ac.ir:80/fum/handle/fum/3390961
کلیدواژه(گان): Adaptive Predictive-DPC,Grid Connected,PV
کالکشن :
  • ProfDoc
  • نمایش متادیتا پنهان کردن متادیتا
  • آمار بازدید

    Adaptive Predictive-DPC for a Grid Connected Low-Cost PV Generator

Show full item record

contributor authorحسین غلامی خشتen
contributor authorمحمد منفردen
contributor authorHosein Gholamifa
contributor authorMohammad Monfaredfa
date accessioned2020-06-06T14:18:19Z
date available2020-06-06T14:18:19Z
date copyright7/22/2015
date issued2015
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/3390961
description abstractPulse-width modulated (PWM) voltage source converters (VSCs) with various control strategies are used as PV inverters. Recently, methods based on predictive control have become of great interest due to various advantages they offer, the main being superior dynamic behavior, simple structure and concepts and ease of implementation and accordance to inherent discrete nature of power electronic converters. In this study, an augmented discrete model for the VSC is derived, based on which, an improved deadbeat-DPC scheme for the grid connected PWM-VSC which utilizes the adaptive observer in its structure is proposed. States and input disturbances are estimated by using full order adaptive observer in next sampling period and then by using the system model, the converter reference voltage is selected so that the power errors become zero in the end of the two next sampling periods. It provides the sensorless operation of the converter by eliminating the filter current sensor, that reduces the inverter cost and helps compensate for uncertainties by one step ahead estimation of parameters and un-modeled dynamics.en
languageEnglish
titleAdaptive Predictive-DPC for a Grid Connected Low-Cost PV Generatoren
typeConference Paper
contenttypeExternal Fulltext
subject keywordsAdaptive Predictive-DPCen
subject keywordsGrid Connecteden
subject keywordsPVen
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1048203.html
conference titleThe 6th International Congress of Energy and Environment Engineering and Management (CIIEM15)en
conference locationپاریسfa
identifier articleid1048203
  • درباره ما
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace