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Prediction of Rolling Force Based on a Fusion of Extreme Learning Machine and Self Learning Model of Rolling Force Read chapter Read first chapter

2018 | OriginalPaper | Chapter

On Data Analysis in Forest Fire Induced Breakdown of the Transmission Line

Authors : Jiaqing Zhang, Bosi Zhang, Hui Xie, Minghao Fan, Liufang Wang

Published in: Advances in Intelligent Systems and Interactive Applications

Publisher: Springer International Publishing

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Abstract

The forest fire is one of the great threats to the operation of transmission line. The reasons and prevent measures of forest fire induced breakdown of the transmission line were investigated, and the application of data analysis in this field was discussed in the present study. According to the data statistics on the forest fire induced breakdown of the transmission line, the occurrence of transmission line trip has apparent time and space rules. The flow chart of big data analysis on transmission line breakdown induced by forest fires with the data analysis was proposed. By using big data analysis, important information can be derived, which is helpful to the design of early-warning system, as well as the proper strategic decisions to control the damage of transmission line in forest fires.

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Literature
1.
Lu, J.Z., Wu, C.P., Li, Y., et al.: Research and application of forest fire monitor and early-warning system for transmission line. Power Sys. Prot. Control 42(16), 89–95 (2014)
2.
Li, Y., Tao, X.J., Chen, L.: The analysis and precautions of forest fire fault to transmission line. Hubei Electric Power 34(6), 49–50 (2010)
3.
Song, J.J., Guo, C.X., Zhang, J.J., et al.: A probabilistic model of overhead transmission line outage due to forest fire. Power Sys. Tech. 37(1), 100–105 (2013)
4.
Chen, M., Mao, S., Zhang, Y., et al.: Big Data: Related Technologies, Challenges and Future Prospects. Springer, Heidelberg (2014)CrossRef
5.
Wu, T., Ruan, J.J., Hu, Y., et al.: Study on forest fire induced breakdown of 500 kV transmission line in terms of characteristics and mechanism. Proc. CSEE 31(34), 163–170 (2011)
6.
Huang, D.C., Li, P., Ruan, J.J., et al.: Review on discharge mechanism and breakdown characteristics of transmission line gap under forest fire condition. High Voltage Eng. 41(2), 622–632 (2015)
7.
Hu, X., Lu, J.Z., Zeng, X.J., et al.: Analysis on transmission line trip caused by mountain fire and discussion on tripping preventing measures. J. Electric Power Sci. Tech. 25(2), 73–78 (2010)
8.
Song, J.J.: Time-varying outage models of overhead transmission line based on adverse disaster. Master Thesis, Zhejiang University (2013)
9.
Peng, F.X., Xiong, X.: Study on tripping of 500 kV transmission line induced by wildfire and preventing measures. Power Sys. Tech. 2, 58–61 (2014)
10.
Lu, J.Z., Liu, Y., Yang, L., et al.: Rules of transmission line fire induced by wildfire. Fire Sci. Tech. 33(12), 1448–1451 (2014)
11.
Zhang, Y., You, F., Chen, H.X., et al.: Statistical analysis of wildfire accidents inducing flashover of transmission lines. Fire Sci. Tech. 30(12), 1177–1180 (2011)
12.
Wu, T., Ruan, J.J., Zhang, Y., et al.: Study on the statistic characteristics and identification of AC transmission line trips induced by forest fires. Power Sys. Prot. Control 40(10), 138–148 (2012)
13.
Huang, L., Shu, S.Y.: Analysis on fault trips caused by forest fire in csg in the first quarter of year 2010. Guangdong Electric Power 24(3), 95–97 (2011)
14.
Li, Z.P.: Research on transmission line management system and fault diagnosis based on big data analysis. Master Thesis, Zhejiang University of Technology (2015)
15.
Trnka, A.: Big data analysis. Eur. J. Sci. Theol. 10(1), 143–148 (2014)
16.
Fan, J., Han, F., Liu, H.: Challenges of big data analysis. Nat. Sci. Rev. 1(2), 293–314 (2014)CrossRef
17.
Dutta, R., Das, A., Aryal, J.: Big data integration shows Australian bush-fire frequency is increasing significantly. Royal Soc. Open Sci. 3(2), 150–241 (2016)CrossRef
18.
Li, F., Reiss, M.: Application of “big data” for intelligent fire safety emergency operations and management. Council on Tall Buildings and Urban Habitat, Guangzhou (2016)
19.
Big data and fire protection systems, Big data and fire protection systems workshop, San Antonio (2016)
20.
Li, Q.: Application of big data on the field of fire protection. Telecom World, 10 (2014)
21.
Yu, W., Li, H.T., Zhang, D.C.: Fire work is faced with opportunities and challenges in the age of big data. Fire Sci. Tech. 33(9), 1061–1063 (2014)
22.
Chen, H.Y.: Study on fire protection system by big data. China New Tech. Prod. 03, 188 (2016)
23.
Zhang, Z.C.: Electrical fire risk assessment based on data mining technology. Master Thesis, Capital University of Economics and Business (2016)
24.
Rajasekaran, T., Sruthi, J., Revathi, S., et al.: Forest fire prediction and alert system using big data technology. International conference on information engineering, Management and security, London (2015)
25.
Zhu, S.J., Zhang, J.Y., Xing, Z., et al.: A simulation model of big data analysis for fire alarm. International conference on advances in energy, Environment and chemical engineering, Changsha (2015)
Metadata
Title
On Data Analysis in Forest Fire Induced Breakdown of the Transmission Line
Authors
Jiaqing Zhang
Bosi Zhang
Hui Xie
Minghao Fan
Liufang Wang
Copyright Year
2018
Book
Advances in Intelligent Systems and Interactive Applications

Print ISBN: 978-3-319-69095-7

Electronic ISBN: 978-3-319-69096-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69096-4_73

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