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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6928
Title: A Hybrid Multi-feature based Islanding Detection Technique for Grid Connected Distributed Generation
Authors: Sareen K.
Bhalja, Bhavesh R.
Maheshwari R.P.
Published in: International Journal of Emerging Electric Power Systems
Abstract: This paper presents a hybrid islanding detection technique for grid connected Distributed Generations (DGs). The proposed scheme is based on three different decisive factors which are derived from negative sequence voltage (NSV) by applying Hilbert transform, Wavelet transform and standard normal distribution function. Different types of non-islanding and islanding events have been simulated by modeling IEEE 34-bus system using PSCAD/EMTDC software package. The performance of the proposed scheme has been evaluated on large number of cases which are generated by varying load and fault parameters. The simulation results indicate that the proposed scheme is able to detect islanding situation accurately even under perfect power balance condition. Moreover, the proposed scheme provides better stability in case of specific type of non-islanding event i. e. fault on adjacent feeder during which most of the existing scheme issues nuisance tripping. Furthermore, it provides satisfactorily results during change in network topology and also at different values of X/R ratio of DG. At the end performance of the proposed technique is also comprehensively compared with the schemes currently reported in the literature. This comparison apparently demonstrates the advantages of the proposed technique over existing schemes. © 2017 by De Gruyter 2017.
Citation: International Journal of Emerging Electric Power Systems (2017), 18(1): -
URI: https://doi.org/10.1515/ijeeps-2016-0042
http://repository.iitr.ac.in/handle/123456789/6928
Issue Date: 2017
Publisher: Walter de Gruyter GmbH
Keywords: Hilbert transform
islanding
negative sequence voltage
standard normal distribution function
Wavelet transform
ISSN: 21945756
Author Scopus IDs: 56974053000
12790894600
8941720600
Author Affiliations: Sareen, K., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Bhalja, B.R., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Maheshwari, R.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Corresponding Author: Bhalja, B.R.; Department of Electrical Engineering, Indian Institute of Technology RoorkeeIndia; email: bhaveshbhalja@gmail.com
Appears in Collections:Journal Publications [EE]

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