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- Title
Research on a novel passive islanding detection method.
- Authors
DONG XIE; DAJIN ZANG; PENG GAO; JUNJIA WANG; ZHU ZHU
- Abstract
In distributed generation systems, islanding detection is a necessary function of grid-connected inverters. In view of the performance disadvantages of traditional passive and active islanding detection methods, this paper proposes a novel passive islanding detection method. The proposed method first extracts characteristic parameters from the inverter output voltage signal and inverter output current signal through lifting wavelet transform, and then conducts the pattern recognition of these extracted characteristic parameters via BP neural network, so as to judge if there is an islanding phenomenon. As verified by the simulation and experiment results, the islanding detection method proposed in this paper is effective, and is featured by high detection speed and small non-detection zone, without affecting electric energy quality; its detection performance has been remarkably improved in comparison with that of traditional islanding detection methods.
- Subjects
ELECTRIC inverters; DISTRIBUTED power generation; DISTRIBUTED resources (Electric utilities); ELECTRIC power production; NEURAL circuitry
- Publication
Indian Journal of Power & River Valley Development, 2021, Vol 71, Issue 5/6, p91
- ISSN
0019-5537
- Publication type
Article
- DOI
10.18311/ijprvd/2021/28068