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Evaluation of New Energy Theory Based on Data Recovery

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Recent Developments in Intelligent Computing, Communication and Devices (ICCD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1185))

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Abstract

With the rapid development of new energy power generation, the new energy grid connected in Gansu Province alone exceeds 20 million kilowatts. Due to the insufficient absorption capacity of the new energy market and other reasons, the problem of abandoning the wind and discarding the light has become increasingly prominent. The accuracy of theoretical power calculation is directly related to the statistics of abandoned photovoltaic quantity, while the theoretical power calculation relies on new energy data. Therefore, the accuracy of data is directly related to the accuracy of the theoretical power. In this paper, time series analysis algorithm is used to process and analyze the data of booster station, wind tower, irradiance station, wind turbine, and inverter of new energy station to ensure the availability and reliability of the data. Secondly, large data analysis is used to calculate the theoretical power of new energy.

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Acknowledgements

This work is supported by the National High Technology Research and Development Program (B32722190001); State Grid Corporation of China Program (522722160071); State Grid Corporation of China Program (522722170004).

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Authors and Affiliations

  1. Key Laboratory of Wind Power Integration Operation and Control, State Grid Gansu Electric Power Research Institute, Lanzhou, China

    Qingquan Lv, Qiang Zhou, Long Zhao, Mingsong Wang, Pengfei Gao & Jin Li

Authors
  1. Qingquan Lv
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  2. Qiang Zhou
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  3. Long Zhao
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  4. Mingsong Wang
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  5. Pengfei Gao
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  6. Jin Li
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Corresponding author

Correspondence to Qingquan Lv .

Editor information

Editors and Affiliations

  1. Department of Supply Chain and Information Management (SCM), The Hang Seng University of Hong Kong (HSUHK), Shatin, New Territories, Hong Kong

    C. H. WU

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India

    Srikanta PATNAIK

  3. Information and Communication Engineering, Faculty Automatic Control and Computer Science, University of Oradea, Oradea, Romania

    Florin POPENTIU VLÃDICESCU

  4. School of Human Science and Environment, University of Hyogo, Himeji, Japan

    Kazumi NAKAMATSU

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Lv, Q., Zhou, Q., Zhao, L., Wang, M., Gao, P., Li, J. (2021). Evaluation of New Energy Theory Based on Data Recovery. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_15

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