A Smart Online Over-Voltage Monitoring and Identification System
Name
Wang-2011-A Smart Online Over-.pdf
Size
380.53 KB
Format
Adobe PDF
Checksum (MD5)
dbe2e5f7b24c0bd8fd40e5fe5bbe998e
Author(s)
Wang, Jing
Yang, Qing
Sima, Wenxia
Yuan, Tao
Zahn, Markus
Date Issued
April 2011
Journal
Energies
Publisher
Molecular Diversity Preservation International
Citation
Wang, Jing et al. “A Smart Online Over-Voltage Monitoring and Identification System.” Energies 4 (2011): 599-615. © 2011 by the authors
Version
Author's final manuscript
Abstract
This paper proposes a complete and effective smart over-voltage monitoring and
identification system. In recent years, smart grids are of the greatest interest in power system
research. One of the main features of smart grid is their self-healing, which can continuously
carry out online self-evaluation, discover existing faults, and correct them immediately. The
over-voltage smart monitoring-identification-suppression systems play a key role in the
construction of self-healing grids. In this paper, eight kinds of common over-voltage are
discussed and analyzed. The S-transform algorithm is used to extract features of
over-voltage. Aiming at the main features of each kind of over-voltage, six different
characteristic quantities are proposed. A well designed fuzzy expert system and a support
vector machine are employed as the classifiers to build a two-step identification model. The
accuracy of the identification system is verified by field records. Results show that this
system is feasible and promising for real applications.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. High Voltage Research Laboratory
Massachusetts Institute of Technology. Laboratory for Electromagnetic and Electronic Systems
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/en4040599
