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Research on Model and Method of Maturity Evaluation of Smart Grid Industry

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration (ICSEE 2017, LSMS 2017)

Abstract

Smart grid has become the inevitable development trend of the modern power grid. The vigorous development of the smart grid led to the rise and development of the smart grid industry, seize the smart grid industry development opportunities, also has become one of the important choice of regional planning and construction. Scientifically reflecting the effect of regional development of smart grid industry of the conditions and the development of the industries to the region will guide regional smart grid industry planning, and encourage regional investment in the development of smart grid industry. This paper established smart grid industry maturity comprehensive evaluation index system from five aspects, the technical performance, industrial facilities, market environment, policy environment and social influence, to put forward to smart grid industry maturity evaluation algorithm, thus smart grid industry maturity assessment model is established, in order to provide reference for regional planning and smart grid industry.

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References

  1. DOE: GRID 2030: a national vision for electricity’s second 100 years (2003)

    Google Scholar 

  2. European Commission: European technology platform smart grids: vision and strategy for Europe’s electricity networks of the future (2006)

    Google Scholar 

  3. Wang, M.: Smart grid and smart energy resource grid. Power Syst. Technol. 34, 1–5 (2010)

    Google Scholar 

  4. Lin, Y., Zhong, J., Felix, W.: Discussion on smart grid supporting technologies. Power Syst. Technol. 33, 8–14 (2009)

    Google Scholar 

  5. Zhang, J., Hu, J.: Design of smart grid oriented adaptive planning system. Autom. Electr. Power Syst. 35, 1–7 (2011)

    Google Scholar 

  6. Sun, Q., Ge, X., Liu, L.: Review of smart grid comprehensive assessment systems. In: ICSGCE, pp. 219–229

    Google Scholar 

  7. Wang, Z., Li, H., Li, J., Han, F.: Assessment index system for smart grids. Power Syst. Technol. 33, 14–18 (2009)

    Google Scholar 

  8. Tan, W., He, G., Liu, F.: A preliminary investigation on smart grid’s low-carbon index system. Autom. Electr. Power Syst. 34, 1–5 (2010)

    Google Scholar 

  9. Jia, W., Kang, C., Liu, C., Li, M.: Capability of smart grid to promote low-carbon development and its benefits evaluation model. Autom. Electr. Power Syst. 35, 7–12 (2011)

    Google Scholar 

  10. Zhang, J., Pu, T., Wang, W.: A comprehensive assessment index system for smart grid demonstration projects. Power Syst. Technol. 35, 5–9 (2011)

    Google Scholar 

  11. Duncan, S.J., Griendling, K., Mavris, D.N.: An assessment of ROSETTA for smart electricity grid system-of-systems design. In: Proceedings of 2011 6th International Conference on System of Systems Engineering, pp. 231–236 (2011)

    Google Scholar 

  12. Wang, B., He, G., Mei, S.: Construction method of smart grid’s assessment index system. Autom. Electr. Power Syst. 35, 1–5 (2011)

    Google Scholar 

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Acknowledgements

This work is supported by the State Grid project: Research on technology system of global energy internet.

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Correspondence to Yi Ge .

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© 2017 Springer Nature Singapore Pte Ltd.

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He, Y., Wu, J., Ge, Y., Li, D., Yan, H. (2017). Research on Model and Method of Maturity Evaluation of Smart Grid Industry. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_64

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  • DOI: https://doi.org/10.1007/978-981-10-6364-0_64

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6363-3

  • Online ISBN: 978-981-10-6364-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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