An overview of planning technology for active distribution network under the situation of ubiquitous power internet of things

被引：0
|
作者：
Xiao Z. [1 ]
Xin P. [2 ]
Liu Z. [1 ]
Wang Y. [1 ]
Deng K. [1 ]
Cui R. [3 ]
Hou H. [3 ]
Deng X. [3 ]
机构：
[1] Research Institute of Economics and Technology of State Grid Hunan Electric Power Co., Ltd., Changsha
[2] State Grid Research Institute of Economics and Technology Co., Ltd., Beijing
[3] School of Automation, Wuhan University of Technology, Wuhan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 03期
关键词：
Active distribution network; Distributed generation; Electric vehicles; Energy storage system; Planning technology; Ubiquitous power internet of things;
D O I：
10.19783/j.cnki.pspc.191351
中图分类号：
学科分类号：
摘要：
With the promotion of the ubiquitous power internet of things, there are more and more new power equipment connected to the distribution network, such as kinds of distributed generation, energy storage system, electric vehicles and so on. So the traditional distribution network will be greatly changed in the future, which makes it difficult for original planning technology to meet the requirements of the distribution network for power supply security and stability. So based on the above situation, the active distribution network planning technology is reviewed, which is applicable to the situation of ubiquitous power internet of things. And current research about load forecasting and generation forecasting, siting and sizing, and multi-dimensional evaluation of planning schemes in active distribution network are reviewed. It also puts forward some difficulties and challenges that the distribution network planning technology may encounter under the new situation, and summarizes and evaluates a variety of complex theories and optimization algorithms. Finally, the summary and the future prospect of active distribution network planning technology under the new situation are given. © 2020, Power System Protection and Control Press. All right reserved.
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页码：43 / 48
页数：5
相关论文
共 35 条
  • [1] Erdinc O., Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households, Applied Energy, 126, pp. 142-150, (2014)
  • [2] Yu L., Research on multi-objective planning and control partition of active distribution network, (2017)
  • [3] Zhao B., Wang C., Zhou J., Et al., Present and future development trend of active distribution network, Automation of Electric Power Systems, 38, 18, pp. 125-135, (2014)
  • [4] You Y., Liu D., Yu W., Et al., Technology and its trends of active distribution network, Automation of Electric Power Systems, 36, 18, pp. 10-16, (2012)
  • [5] Zhang N., Yang J., Wang Y., Et al., 5G communication for the ubiquitous Internet of things in electricity: technical principles and typical applications, Proceedings of the CSEE, 39, 14, pp. 4015-4025, (2019)
  • [6] Liu Y., Zhang H., Zhang A., Improved load forecasting method based on load characteristics under demand-side response, Power System Protection and Control, 46, 13, pp. 126-133, (2018)
  • [7] Li B., Zhang J., He Y., Et al., Short-term load-forecasting method based on wavelet decomposition with second-order gray neural network model combined with ADF test, IEEE Access, 5, pp. 16324-16331, (2017)
  • [8] Deng Z., Wang B., Xu Y., Et al., Multi-scale convolutional neural network with time-cognition for multi-step short-term load forecasting, IEEE Access, 7, pp. 88058-88071, (2019)
  • [9] Xi Y., Wu J., Shi C., Et al., A refined load forecasting based on historical data and real-time influencing factors, Power System Protection and Control, 47, 1, pp. 80-87, (2019)
  • [10] Arias R.A., Mejia G.R., Optimization of V-trough photovoltaic concentrators through genetic algorithms with heuristics based on Weibull distributions, Applied Energy, 212, pp. 122-140, (2018)
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