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Abnormal Analysis of Electricity Data Acquisition in Electricity Information Acquisition System

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Genetic and Evolutionary Computing (ICGEC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1107))

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Abstract

With the progress of the times, science and technology and the development of our national economy, users’ demand for power supply quality and power consumption is also increasing gradually. In order to effectively improve the efficiency of power management and planning, and to obtain effective and reliable electricity data, the role of electricity information acquisition system is very important. This paper mainly aims at the problem of abnormal electricity quantity in data acquisition of the system, gives its reasons, and through the analysis of examples, puts forward the corresponding improvement measures on this basis.

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References

  1. Zhao, A., Zhou, H.: Data acquisition anomaly analysis of electric power information acquisition system. Hebei Electr. Power Technol. 31(01), 10–11+23 (2012)

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Acknowledgment

This work is supported by Fuzhou Science and Technology Project (2018-G-30).

Author information

Authors and Affiliations

  1. Fujian University of Technology, Fuzhou, 350118, Fujian, China

    GuanWei Xu

  2. Fujian Institute of Engineering Smart Grid Simulation Analysis and Integrated Control of Fujian University Engineering Research Center, Fuzhou, 350118, Fujian, China

    Rongjin Zheng

Authors
  1. GuanWei Xu
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  2. Rongjin Zheng
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Corresponding author

Correspondence to Rongjin Zheng .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Jeng-Shyang Pan

  2. Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Yongquan Liang

  4. School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, Australia

    Shu-Chuan Chu

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Xu, G., Zheng, R. (2020). Abnormal Analysis of Electricity Data Acquisition in Electricity Information Acquisition System. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_19

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