Abstract
The rolling planning of distribution network is the most essential section in the development of smart distribution network. Based on the big data collected from inside and outside of the electric power industry, this paper analyzed the geographical, social and economic overview, planning year and basis for planning, the demand for the rolling planning and the current state of the distribution network and provide more feedbacks for grid operation. Then the load prediction through the growth rate method, linear regression method and comprehensive power consumption per capita method etc. is also discussed in this paper. Finally, according to the predicting results of the power demand forecasting during the planning period, the objective of distribution network rolling planning and prospects of 110 kV distribution network in Longhai are also provided. So it is very significant to rectify and optimize the search on rolling planning of distribution network and thus lay reliable scientific basis for long-range distribution network perspective and construction.
Sponsored by Educational Committee Scientific Research Program, Grant Y201432713.
Sponsored by Ningbo Agricultural Research Project, Grant 201401C1001006.
Sponsored by Zhejiang Public Beneficial Technology Research Project, Grant 2015C32125.
Sponsored by Ningbo Natural Science Foundation, Grant 2016A610042.
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Ci, Y., Meng, Y., Dong, M. (2018). Research on Rolling Planning of Distribution Network Based on Big Data Analysis. In: Abawajy, J., Choo, KK., Islam, R. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence. ATCI 2017. Advances in Intelligent Systems and Computing, vol 580. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-67071-3_48
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DOI: https://doi.org/10.1007/978-3-319-67071-3_48
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Publisher Name: Edizioni della Normale, Cham
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