Energies | |
A Smart Online Over-Voltage Monitoring and Identification System | |
Jing Wang1  Qing Yang1  Wenxia Sima1  Tao Yuan1  | |
[1] State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China; E-Mails: | |
关键词: smart grid; over-voltage; identification; S-transform; fuzzy expert system; | |
DOI : 10.3390/en4040599 | |
来源: mdpi | |
【 摘 要 】
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.
【 授权许可】
CC BY
© 2011 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190049676ZK.pdf | 380KB | download |