E3S Web of Conferences (Jan 2020)

Research on Prediction of Energy Storage Optimization Operation under the Power Internet of Things

  • Xiang Li,
  • Ning Yonglong,
  • Wang Xiaoqing,
  • Tian Hongliang,
  • Zhao Liang,
  • Kang Jian,
  • Liu Peiliang,
  • Zhou Li

DOI
https://doi.org/10.1051/e3sconf/202019403004
Journal volume & issue
Vol. 194
p. 03004

Abstract

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The technological breakthrough of energy storage and the rapid decrease in cost make the application prospect of energy storage in power system more and more extensive, and will play an increasingly important role in the safe and efficient operation of power system. The optimal arrangement of energy storage load operation is conducive to the maximization of economic profit on the grid side, which is of great significance to the satisfaction of power demand of the distribution network.