Islanding Detection Method Based on Injecting Perturbation Signal and Rate of Change of Output Power in DC Grid-Connected Photovoltaic System
Thanh Son Tran,
Duc Tuyen Nguyen and
Goro Fujita
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Thanh Son Tran: Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo 135-8548, Japan
Duc Tuyen Nguyen: National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki 305-8560, Japan
Goro Fujita: Department of Electrical Engineering, Shibaura Institute of Technology, Tokyo 135-8548, Japan
Energies, 2018, vol. 11, issue 5, 1-18
Abstract:
The emergence of Distributed Generation (DG) in the electric system has brought about the appearance of the islanding phenomenon. In AC networks, there are a lot of Islanding Detection Methods (IDMs) have been studied. However, not too much IDMs in DC networks have been published because of the absence of frequency and reactive power. The hybrid IDM based on injected perturbation signal and rate of change of power output is proposed. This IDM can detect islanding condition not only in the worst case (the power of load and PV are equal) but also in another case (the power of load is greater than the power of PV). It can be applicable to both single and multi-PV operation scenarios. Besides, the effectiveness of the proposed method is verified by simulation in Matlab/Simulink.
Keywords: islanding detection; distributed generation; DC network; photovoltaic; perturbation signal (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:5:p:1313-:d:148196
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