A Novel Islanding Detection Method Based on Transfer Learning Technique Using VGG16 Network

dc.contributor.authorManikonda, S.K.G.
dc.contributor.authorGaonkar, D.N.
dc.date.accessioned2020-03-30T09:58:27Z
dc.date.available2020-03-30T09:58:27Z
dc.date.issued2019
dc.description.abstractThe 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.en_US
dc.identifier.citation1st IEEE International Conference on Sustainable Energy Technologies and Systems, ICSETS 2019, 2019, Vol., , pp.109-114en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/7061
dc.titleA Novel Islanding Detection Method Based on Transfer Learning Technique Using VGG16 Networken_US
dc.typeBook chapteren_US

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