Operating time prediction algorithm for synchronous switching on HVCB based on cloud theory

Precise prediction of operating time is one of the key factors for synchronous switching to minimize the control error. In this paper an operating time prediction algorithm is proposed based on cloud model, which shows a good applicability to synchronous switching technology on HVCB equipped with hy...

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Vydáno v:TENCON ... IEEE Region Ten Conference s. 1 - 4
Hlavní autoři: Jinlong Dong, Guogang Zhang, Yingsan Geng, Jianhua Wang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2013
Témata:
cloud theory
Clouds
Educational institutions
Generators
HVCB
hydraulic operating mechanism
operating time prediction
Prediction algorithms
Predictive models
Switching circuits
synchronous switching technology
Uncertainty
ISBN:9781479928255, 1479928259
ISSN:2159-3442
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Shrnutí:Precise prediction of operating time is one of the key factors for synchronous switching to minimize the control error. In this paper an operating time prediction algorithm is proposed based on cloud model, which shows a good applicability to synchronous switching technology on HVCB equipped with hydraulic operating mechanism. The algorithm uses cloud model to build up single-condition multiple-rule illation generators with which the uncertainty prediction is realized. The prediction model is tested for the closing operation with the experimental system. The test results show that the prediction error can satisfy the engineering requirements.
ISBN:9781479928255
1479928259
ISSN:2159-3442
DOI:10.1109/TENCON.2013.6718797