EM–SS-Wavelets for Characterization of High-Speed Generators in Distributed Generation
- Resource Type
- Authors
- M. El Hariri; A.A. Arkadan
- Source
- IEEE Transactions on Magnetics. 52:1-4
- Subject
- 010302 applied physics
Computer science
business.industry
Grid
01 natural sciences
Electronic, Optical and Magnetic Materials
Wavelet
Control theory
Distributed generation
0103 physical sciences
Inverter
Microgrid
Electrical and Electronic Engineering
business
- Language
- ISSN
- 1941-0069
0018-9464
An electromagnetic–state space–wavelet neural network modeling environment is presented and used for the characterization of high-speed synchronous generators during out-of-phase operation in distributed generation (DG) of a microgrid. This mode of operation may result in stresses in the network or the failure of the high-speed generators. The approach is validated, by comparing simulation results with test data, and its effectiveness is established in terms of accuracy and fast response. In addition, it is demonstrated in a case study involving two DG units in a microgrid that the stresses and damages are minimized in an out-of-phase DG unit when connected to the grid through an inverter.