A Novel Islanding Detection Method Based on Transfer Learning Technique Using VGG16 Network
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
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.
Description
Keywords
Classification, Distributed Generation, Islanding Detection, Machine Learning, Renewable Energy Sources, Transfer Learning
Citation
1st IEEE International Conference on Sustainable Energy Technologies and Systems, ICSETS 2019, 2019, Vol., , p. 109-114