Islanding classification mechanism for grid-connected photovoltaic systems

Khan, Mohammed Ali and Kurukuru, V. S. Bharath and Haque, Ahteshamul and Mekhilef, Saad (2021) Islanding classification mechanism for grid-connected photovoltaic systems. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9 (2). pp. 1966-1975. ISSN 2168-6777, DOI

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This article develops an islanding classification technique by adapting signal processing and machine learning techniques. The proposed method trains with all the possible islanding conditions, by extracting their features and classifying them. The performance of the proposed method was tested on a single-phase grid-connected photovoltaic system simulated using MATLAB/Simulink environment. The classifier achieved 98.1% training and 97.8% testing efficiency and can effectively detect islanding under 0.2 s with low misclassification. Further, the developed algorithm is tested with a 10-kW grid-connected photovoltaic system to monitor the changes in voltage and power mismatch at the point of common coupling (PCC) and classify the state of the system efficiently.

Item Type: Article
Uncontrolled Keywords: Inverters; Islanding; Power harmonic filters; Reactive power; Voltage control; Phase locked loops; Harmonic analysis; Distributed generation (DG); islanding; neural networks; photovoltaic (PV) systems; wavelet transform (WT)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 15 Mar 2022 07:59
Last Modified: 15 Mar 2022 07:59

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