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Construction of China's smart grid information system analysis

Author

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  • Wu, Yun-na
  • Chen, Jian
  • Liu, Li-rong

Abstract

The start of the smart grid program will drive significant changes of grid operation, management, customer service and social energy use patterns. Informatization as the Smart Grid “four modernizations” breakthrough feature, its importance is distinguished. The important feature, trends, construction direction of smart grid informatization will be the power companies and the IT industry issues of common concern. This article outline the construction contents of smart grid and analysis the informatization technology position in the smart grid and demand for informatization of smart grid construction. And on this basis, analyze the smart grid informatization construction system, and shows the contents of informatization construction from three different dimensionalities: the information hierarchy, power industry chain and business type. Finally, describe the contents of informatization construction and business application from five dimensionalities: data collection layer, data transmission layer, data analysis layer, information integration layer, and information showing layer.

Suggested Citation

  • Wu, Yun-na & Chen, Jian & Liu, Li-rong, 2011. "Construction of China's smart grid information system analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4236-4241.
    • Handle: RePEc:eee:rensus:v:15:y:2011:i:9:p:4236-4241
    DOI: 10.1016/j.rser.2011.07.129
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    Citations

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    Cited by:

    1. Haidar, Ahmed M.A. & Muttaqi, Kashem & Sutanto, Danny, 2015. "Smart Grid and its future perspectives in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1375-1389.
    2. Zhou, Kai-le & Yang, Shan-lin & Shen, Chao, 2013. "A review of electric load classification in smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 103-110.
    3. Chen, Hsing Hung & Chen, Silu & Lan, Yong, 2016. "Attaining a sustainable competitive advantage in the smart grid industry of China using suitable open innovation intermediaries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1083-1091.
    4. Lund, Henrik, 2018. "Renewable heating strategies and their consequences for storage and grid infrastructures comparing a smart grid to a smart energy systems approach," Energy, Elsevier, vol. 151(C), pages 94-102.
    5. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
    6. Colak, Ilhami & Kabalci, Ersan & Fulli, Gianluca & Lazarou, Stavros, 2015. "A survey on the contributions of power electronics to smart grid systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 562-579.
    7. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    8. Yanshan Yu & Jin Yang & Bin Chen, 2012. "The Smart Grids in China—A Review," Energies, MDPI, vol. 5(5), pages 1-18, May.
    9. Galo, Joaquim J.M. & Macedo, Maria N.Q. & de Almeida, Luiz Alberto Luz & Lima, Antonio Cezar de Castro, 2015. "Method for deployment of smart grids through the creation of a priority index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1421-1427.
    10. Zhou, Kaile & Yang, Shanlin, 2015. "A framework of service-oriented operation model of China׳s power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 719-725.
    11. Colmenar-Santos, Antonio & Reino-Rio, Cipriano & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Distributed generation: A review of factors that can contribute most to achieve a scenario of DG units embedded in the new distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1130-1148.
    12. Macedo, M.N.Q. & Galo, J.J.M. & de Almeida, L.A.L. & de C. Lima, A.C., 2015. "Demand side management using artificial neural networks in a smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 128-133.
    13. Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    14. Zhou, Kaile & Yang, Shanlin & Chen, Zhiqiang & Ding, Shuai, 2014. "Optimal load distribution model of microgrid in the smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 304-310.
    15. Fadaeenejad, M. & Saberian, A.M. & Fadaee, Mohd. & Radzi, M.A.M. & Hizam, H. & AbKadir, M.Z.A., 2014. "The present and future of smart power grid in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 828-834.

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