Abstract
In today’s world, sources of renewable energy (RES) using PV arrays are the most extensively used. When RES is connected to the grid, there will be some issues owing to the unexpected circuit breakers connected to the grid trip, which creates islanding. This islanding condition should be detected within two seconds, as per IEEE standards. This paper presents frequency disturbance triggered hybrid islanding detection using artificial neural network (ANN) and discrete wavelet transformation (DWT). The ANN model is trained by these WT features and this approach calculates the detection time for various loading and non-islanding conditions. DWT analysis is performed up to level 4 in this work which is fed to an ANN model to predict islanding detection time. Simulation of frequency triggered hybrid islanding detection approach is implemented on the MATLAB 2018b platform. Python 3.9.5 is used for the discrete wavelet transform and ANN.
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References
Manohar M, Sheetal C, Pravat Kumar R (2020) Taxonomy islanding detection techniques for distributed generation in microgrid. Renew Energy Focus 31:9–30
Ahmed G, Ahmed Bilal A, Abdel-Rahman A (2018) Comparative study of passive and active islanding detection methods for PV grid-connected systems. Sustainability 10(6):1–15
Krishna MG, Geetha Lakshmi B (2021) Balanced islanding detection of integrated DG with phase angle between voltage and current. Indonesian J Electric Eng Comput Sci 23(1):32–40
Phanindra Ganivada K, Premalata J (2020) Frequency disturbance triggered d-axis current injection scheme for islanding detection. In: IEEE transactions on smart grid, pp 1949–3053
Basanta P, Rajendra S, Ajay Kumar J (2019) Islanding detection in distributed generation integrated Thimi—Sallaghari distribution feeder using wavelet transform and artificial neural network. J Instit Eng 15(2):55–61
Paiva S, Ribeiro R, Alves D, Costa, Rocha T (2020) A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids. Int J Electric Power Energy Syst 121:106–132
Krishna MG, Geetha Lakshmi B (2021) Balanced islanding detection of distributed generator using discrete wavelet transform and artificial neural network. Int J Eng Trends Tech 69(10):57–71
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Goriparthy, M.K., Geethalakshmi, B. (2023). A New Hybrid Islanding Detection Scheme Using Discrete Wavelet Transform and Artificial Neural Networks. In: Chakravarthy, V., Bhateja, V., Flores Fuentes, W., Anguera, J., Vasavi, K.P. (eds) Advances in Signal Processing, Embedded Systems and IoT . Lecture Notes in Electrical Engineering, vol 992. Springer, Singapore. https://doi.org/10.1007/978-981-19-8865-3_6
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DOI: https://doi.org/10.1007/978-981-19-8865-3_6
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