NDLI: An islanding detection algorithm based on fuzzy adaptive phase drift control

Content Provider	IEEE Xplore Digital Library
Author	Liang Shi Fangde Wu
Copyright Year	2013
Description	Author affiliation: Sch. of Instrum. Sci. & Opto-Electron. Eng., Beihang Univ., Beijing, China (Liang Shi) \|\| Coll. of Mech. Eng., Zhejiang Univ. of Technol., Hangzhou, China (Fangde Wu)
Abstract	Islanding detection is an indispensable function of grid-connected photovoltaic power generation system, and active phase shift method serves as an effective way to implement it. However, a too small disturbance quantity setting is likely to generate non-detection zone, and an adverse effect on output power quality when the disturbance is oversize. In order to solve the problem, an islanding detection algorithm based on fuzzy adaptive phase drift control is proposed, of which introduced self-adjust accelerating gain into frequency difference positive feedback. Basing on analysis of the relationship between the frequency drift of the point of common coupling voltage and the load characteristics after the initial disturbance, the algorithm parameters are discussed to adapt to frequency drift at different loads during the disconnection of power grid. The simulation and experimental results indicate that the algorithm has short detection time, no non-detection zone and less grid current THD.
Starting Page	225
Ending Page	229
File Size	630333
Page Count	5
File Format	PDF
ISBN	9781479913343
DOI	10.1109/ICInfA.2013.6720300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Photovoltaic systems Q-factor islanding detection phase drift fuzzy adaptive control power quality Inverters photovoltaic systems Acceleration Load modeling
Content Type	Text
Resource Type	Article

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