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Big Data Technology in Intelligent Distribution Network: Demand and Applications

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 (AISI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1261))

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Abstract

Nowadays, with the development and maturity of big data technology, big data analysis technology is more and more widely used in practice, and more and more data are gradually applied to the smart grid of our country. Since the data in the smart grid meets the 4 V characteristics of big data (large quantity, fast speed, many types, low value density), the use of big data technology can provide more accurate and cheaper data for power information generation Economic value and significance. Through the analysis of the development process of China’s power industry, the development of distribution network in China obviously lags behind the development of power generation and transmission network. At present, more than 95% of the blackouts are caused by the distribution network, and half of the power loss occurs in the distribution network, so the automation of the distribution network system urgently needs the support of new technologies. This paper first enumerates several key points of big data technology, including big data collection, storage and analysis, and then expounds several methods of big data analysis. On this basis, big data technology is applied to the field of intelligent distribution network. Especially in the application of distribution forecasting, it can provide more powerful technical support for the operation of smart distribution network, continuously improve the technical level of China’s smart distribution network, and promote the optimization and upgrading of smart grid system. Finally, an optimized prediction model is proposed, and the application of the new technology (5G technology) developed at the present stage is prospected, and its contribution to the data acquisition and application of big data technology is analyzed.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

    Zhi-Peng Ye & Kuo-Chi Chang

  2. Fuzhou University, No. 33 Xuefu South Road, New District, Fuzhou, 350118, Fujian, China

    Kuo-Chi Chang

  3. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China

    Kuo-Chi Chang

  4. College of Mechanical and Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan

    Kuo-Chi Chang

Authors
  1. Zhi-Peng Ye
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  2. Kuo-Chi Chang
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Corresponding author

Correspondence to Kuo-Chi Chang .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Information Technology Department, and Chair of the Scientific Research Group in Egypt, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Slowik

  3. Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava-Poruba, Moravskoslezsky, Czech Republic

    Václav Snášel

  4. Rector of the Electronic Research Institute, Cairo, Egypt

    Hisham El-Deeb

  5. Faculty of computers and information, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Ye, ZP., Chang, KC. (2021). Big Data Technology in Intelligent Distribution Network: Demand and Applications. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_35

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