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Intelligent Monitoring Technology of the Substation Based on the Micro System

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (AICV 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1153))

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Abstract

Substation station power consumption is larger. A provincial power grid is likely to have thousands of substations. The sum of all substation power is a big number. Therefore, a micro-network system is formed in the substation, making full use of renewable energy, reducing the loss of traditional energy, vigorously promoting China’s economic restructuring and energy structure optimization, reducing China’s energy supply pressure, and reducing the total emissions of greenhouse gases and major pollutants such as carbon dioxide so as to accelerate the realization of energy conservation and emission reduction targets and gain important environmental benefits, economic and social benefits. The micro grid system continues to provide power load after the power grid is cut off, and has the effect of uninterrupted power supply, improving the reliability of the power supply occupied by the substation.

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Author information

Authors and Affiliations

  1. Department of Construction, State Grid Liaoning Electric Power Supply Co. Ltd., Shenyang, China

    Peng Yin, Hailong Li, Jinhui Liu, Xiaolong Liu & Zhaohua Wang

Authors
  1. Peng Yin
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  2. Hailong Li
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  3. Jinhui Liu
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  4. Xiaolong Liu
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  5. Zhaohua Wang
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Corresponding author

Correspondence to Peng Yin .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Faculty of Computers and Information, Giza, Egypt

    Aboul-Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Banha, Egypt

    Ahmad Taher Azar

  3. Faculty of Computers and Information, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadajalara, Jalisco, Mexico

    Diego Oliva

  5. Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Yin, P., Li, H., Liu, J., Liu, X., Wang, Z. (2020). Intelligent Monitoring Technology of the Substation Based on the Micro System. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_75

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