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دسته بندی:
هوش مصنوعی - Artificial intelligence
سال انتشار:
2020
عنوان انگلیسی مقاله:
AI protection Algorithms for PV-Grid Connection System
ترجمه فارسی عنوان مقاله:
الگوریتم های محافظت از هوش مصنوعی برای سیستم اتصال PV-Grid
منبع:
IEEE - 2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE);2020; ; ;10.1109/ITCE48509.2020.9047774
نویسنده:
Yasser Ahmed Elshrief . Amin Danial Asham .Sameh Abd-Elhaleem .Belal Ahmed abozalam
چکیده انگلیسی:
This paper shows the impact of islanding
phenomenon in case of Grid-Connected Photovoltaic (PV)
Arrays and how to develop some new techniques to detect this
phenomenon. Photovoltaic (PV) is one of the popular choice
among the DGs, which typically establishes in grid-connected
systems. However, for grid-connected systems, the issue of
unintentional islanding remains as a great challenge. In order
to enhance the PV grid connected technologies, the
phenomenon of unintentional islanding is typically avoided by
anti-islanding detection controller. This paper presents the
comparative study of anti-islanding detection techniques which
include passive and active techniques. The principle of
operation for both the passive and active anti-islanding
detection techniques, namely Voltage and frequency Protection
(OVP/UVP and OFP/UFP) and Active Frequency Drift (AFD)
are described. In this work, the performances of the studied
anti-islanding techniques are simulated using
MATLAB/Simulink package. Finally, the results of simulation
show that the passive technique hasnt effect the power quality
of system like active one , but unfortunately it has non
detection zones that isnt found in active technique.
Keywords: PV-Grid system | Islanding detection | Distributed energy | ROCOF | Anti-islanding methods | Active method | Voltage and frequency protection
قیمت: رایگان
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