Using the ORACLE Database Management for 500kV Transmission Line Fault Features

Yong Chao Liang; Xi Jia Zhang; Tian Yi Zhu

doi:10.4028/www.scientific.net/AMM.336-338.2083

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 336-338Using the ORACLE Database Management for 500kV...

Using the ORACLE Database Management for 500kV Transmission Line Fault Features

Abstract:

Through the analysis in SCADA systems data of Hunan province electric power maintenance company, found out transmission line fault types, switch and protection action information table of 500kv. Using ORACLEs PL/SQL statements to help the data be neat and also with data preprocessing. Fault features needed for mining properties can fully reflect the fault information, use VS2010 tool programming, data can be carried out in time, space multi-dimensional queries, the researchers used software can dig out the failure rules, increase the efficiency of the data.

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Periodical:

Applied Mechanics and Materials (Volumes 336-338)

Pages:

2083-2086

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.336-338.2083

Citation:

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Online since:

July 2013

Authors:

Yong Chao Liang*, Xi Jia Zhang, Tian Yi Zhu

Keywords:

Data Preprocessing, Oracle, SQL, Supervisory Control and Data Acquisition (SCADA), VS2010

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* - Corresponding Author

References

[1] Tang Zhijun. Access Strategy of Massive and Real-time Message Storage Based on ORACLE [J]. Command Information System and Technology, 2011, 2(3): 41-47.

Google Scholar

[2] Alcaraz, Cristina. An Early Warning System Based on Reputation for Energy Control Systems[J], IEEE Transaction on Smart Grid, 2011, 12: 827-834.

DOI: 10.1109/tsg.2011.2161498

Google Scholar

[3] Wang Zhibo; Wang Hong; Zhang Yuting. The Realization of The SCADA System Data Management Using ORACLE Database[J]. Hebei Electric Power Technology, 2005, 6: 16-18.

Google Scholar

[4] Cao Yisheng; Chen Jianming; Xu Hong; Chen Daopin. Research and Development in Grid Monitoring System (SCADA)'s History Database; Power System Communication, 2004 (12): 37-39.

Google Scholar

[5] Cardoso G Jr，Rolim J G. Applications of Neural-network Modules to Electric Power System Fault Section Estimation[J]. IEEE Transaction on Power Delivery, 2004, 19(3): 1034-1041.

DOI: 10.1109/tpwrd.2004.829911

Google Scholar