2011
DOI: 10.3390/en4040599
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A Smart Online Over-Voltage Monitoring and Identification System

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… Show more

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Cited by 41 publications
(26 citation statements)
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“…The topology of zero sequence of ISIM is similar to traditional methods and its applied frequency scope is extended and the accuracy of calculation is improved. (2). The saturation of iron core at low frequency and the system error due to line stray impedance Z ε in zero sequence at high frequency are the major causes of measurement error.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The topology of zero sequence of ISIM is similar to traditional methods and its applied frequency scope is extended and the accuracy of calculation is improved. (2). The saturation of iron core at low frequency and the system error due to line stray impedance Z ε in zero sequence at high frequency are the major causes of measurement error.…”
Section: Discussionmentioning
confidence: 99%
“…Self-healing plays an important role in distribution network [2][3][4][5][6][7][8]. The systems, which have been effectively grounding, protect themselves by switching breakers when grounding faults occur.…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al [21] propose an efficient and versatile system for the monitoring and evaluation of overvoltage. The system is used to classify, and it is composed by a fuzzy expert system and a support vector machine (SVM-AI) (similar strategy was used by Jiang et al [22]).…”
Section: The Development Of Prediction and Self-diagnosis Systemsmentioning
confidence: 99%
“…A lot of research has been done on the identification and classification of the ferroresonance [3,4], ground faults [5] and other kinds of over-voltages [6], but there are still a lot of research challenges that need to be resolved. In some cases, if the grounding resistance is comparatively high, the voltage features of single phase-to-ground may appear extremely similar to the fundamental ferroresonance.…”
Section: Introductionmentioning
confidence: 99%