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Dynamic Increasing the Capacity of Transmission Line Based on the Kylin Operating System

  • Conference paper
Security-Enriched Urban Computing and Smart Grid (SUComS 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 78))

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Abstract

Transmission of electric power has traditionally been limited by the conductor thermal capacity statically defined of a transmission line. However, based on real-time measurement and analysis of environmental data and transmission line characteristics, the capacity of transmission line can be greatly increased. Consequently, a monitoring system is designed and implemented to dynamic increase the transmission capacity. The system is executed on the Kylin operating system to promote its application in the electric power system. Based on the J2EETM platform, the monitoring system realizes a series of functions, such as real-time data collection, calculating and analysis, automatic storage of relevant parameters, transmission capacity prediction, etc. The monitoring system provides a reliable hardware and software platform for supervising and scheduling the grid. The effectiveness of the system is evaluated by its successful application in a grid data supervision system.

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Author information

Authors and Affiliations

  1. Control and Computer Engineering School, North China Electric Power University, Beijing, China

    Wei Li, Zhiwei Feng, Jing Zhou, Kehe Wu & Jing Teng

Authors
  1. Wei Li
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  2. Zhiwei Feng
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  3. Jing Zhou
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  4. Kehe Wu
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  5. Jing Teng
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Editor information

Editors and Affiliations

  1. Hannam University, 306-791, Daejeon, South Korea

    Tai-hoon Kim

  2. Jet Propulsion Laboratory/Caltech, NASA, 4800 Oak Grove Drive, CA 91109, Pasadena, USA

    Adrian Stoica

  3. National Dong Hwa University, 97401, Hualien, Taiwan, R.O.C.

    Ruay-Shiung Chang

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© 2010 Springer-Verlag Berlin Heidelberg

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Li, W., Feng, Z., Zhou, J., Wu, K., Teng, J. (2010). Dynamic Increasing the Capacity of Transmission Line Based on the Kylin Operating System. In: Kim, Th., Stoica, A., Chang, RS. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2010. Communications in Computer and Information Science, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16444-6_2

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  • DOI: https://doi.org/10.1007/978-3-642-16444-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16443-9

  • Online ISBN: 978-3-642-16444-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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