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📢 Call for Papers — Volume 13, Issue 8 (August 2026) | Submission Deadline: August 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-3995

Passive Islanding Detection Technique for Grid-Connected Photovoltaic System

Author(s):S.Prem kumar, M.Aruna
Institution:EEE Dept, Sr.Asst Professor, LBRCE
Published In:Vol. 4, Issue 11 — November 2017
Page No.:43-48
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

With the increased popularity of distributed generation (DG) in power systems, issues such as unintentionalislanding should be efficiently resolved. Islanding condition occurs when part of the electrical power system isdisconnected from the rest of the grid and is still energized by a DG unit. Conventional passive islanding detectionapproaches utilize the power system parameters such as the change of voltage magnitude, frequency. a novel andefficient passive islanding detection technique for grid-connected photovoltaic-based inverters is presented. In thistechnique, the ripple content of the inverter output voltage at the point of common coupling is monitored for deviationsusing time-domain spectral analysis. Islanding is then detected whenever the ripple spectral content exceeds a presetthreshold level for a certain period of time. The performance of this technique was extensively tested and quantifiedunder a wide range of operating conditions. It was determined that the proposed technique did not exhibit any nondetection zone and was able to detect all types of islanding cases within 300 ms of the allowed delay time.Theperformance of this technique was extensively tested and quantified under a wide range of operating conditions. Theresults are presented in this paper using Matlab/simulink).

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🕮 How to Cite

S.Prem kumar, M.Aruna, “Passive Islanding Detection Technique for Grid-Connected Photovoltaic System”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 43-48, November 2017.

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Vol. 13 | Issue 8
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