Please use this identifier to cite or link to this item: https://idr.l4.nitk.ac.in/jspui/handle/123456789/7061
Title: A Novel Islanding Detection Method Based on Transfer Learning Technique Using VGG16 Network
Authors: Manikonda, S.K.G.
Gaonkar, D.N.
Issue Date: 2019
Citation: 1st IEEE International Conference on Sustainable Energy Technologies and Systems, ICSETS 2019, 2019, Vol., , pp.109-114
Abstract: The escalating need for energy in the recent times is unprecedented, which is driving the penetration of renewable energy sources in distribution system in a big way. The growing number of renewable sources in a system has made the control, operation and protection of the system very complex. Among others, one of the key issues in seamless interconnection of renewable energy sources to a system is islanding. This paper proposes a new and efficient islanding detection method that employs transfer learning based technique. The results show that the proposed method can successfully classify islanding events with a good accuracy. � 2019 IEEE.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/7061
Appears in Collections:2. Conference Papers

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