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Data Monitoring for Interconnecting Microgrids Based on IOT

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Intelligent Computing and Internet of Things (ICSEE 2018, IMIOT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 924))

Abstract

The real time monitoring is very important for the interconnecting microgrids. The power production status is not only grasped by watching the real time data, but also some optimization approach can be employed to improve operation mode thus dispatching power reasonably. But now a full range of monitoring of interconnecting microgrids is not implemented yet. In the present age of big data, the computing capability and storage space have been developing fast. These advanced techniques enable the large-scale data monitoring system. The big data from monitoring can be analyzed and applied into the optimization of production process. Motivated by this, a real-time data monitoring system simulation platform is developed. Specially, ThingSpeak platform is validated in our work.

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Author information

Authors and Affiliations

  1. Shanghai University of Electric Power, Shanghai, 200090, China

    Weihua Deng & Shufen Wang

Authors
  1. Weihua Deng
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  2. Shufen Wang
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Corresponding author

Correspondence to Weihua Deng .

Editor information

Editors and Affiliations

  1. The University of Leeds, Leeds, UK

    Kang Li

  2. Shanghai University, Shanghai, China

    Minrui Fei

  3. Shanghai University, Shanghai, China

    Dajun Du

  4. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Zhile Yang

  5. Northeastern University, Shenyang, China

    Dongsheng Yang

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© 2018 Springer Nature Singapore Pte Ltd.

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Deng, W., Wang, S. (2018). Data Monitoring for Interconnecting Microgrids Based on IOT. In: Li, K., Fei, M., Du, D., Yang, Z., Yang, D. (eds) Intelligent Computing and Internet of Things. ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-2384-3_35

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  • DOI: https://doi.org/10.1007/978-981-13-2384-3_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2383-6

  • Online ISBN: 978-981-13-2384-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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