Research on fault recovery method considering time scale for distribution network

被引：0
|
作者：
Yang L. [1 ]
Gao P. [1 ]
Wang W. [1 ]
Zhao Y. [1 ]
Sun X. [1 ]
Zhi C. [1 ]
机构：
[1] State Key Laboratory of Hebei Electric Power Electronic Energy and Drive Control(Yanshan University), Qinhuangdao
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 01期
关键词：
Electric energy storage; Electric power distribution; Fault recovery; Linear programming; Multi-time dynamic restoration;
D O I：
10.19912/j.0254-0096.tynxb.2018-0704
中图分类号：
学科分类号：
摘要：
Distributed generators (DGs) can be used to restore the critical loads when out-of-service areas occur in the distribution network. When the duration of the fault is longer, the light, wind speed and load demand will change with time. In order to ensure the continuous service of the load during the fault, the PV, Wind and energy storage systems (ESS) are combined, and the ESS charge and discharge ensured that the distributed power output matches the load demand. A mixed integer linear programming model for distribution network with the goal of restoring the economic value of load is established. The simulation results show that the uncertainty of illumination, wind speed and load will have an important impact on the service restoration of distribution network. The ESS plays an important role in stabilizing the power supply output to meet the load requirements. The model can accurately and quickly obtain the optimal strategy for service restoration in distribution networks. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码：453 / 459
页数：6
相关论文
共 22 条
  • [1] FENG X P, SONG X H, LIANG Y, Et al., Islanding method based on minimum spanning tree and improved genetic algorithm for distribution system with DGs, High voltage engineering, 41, 10, pp. 3470-3478, (2015)
  • [2] WU W C, ZHANG B M., A candidate restoring tree cutting based algorithm for real-time distribution system restoration, Automation of electric power systems, 27, 12, pp. 50-54, (2003)
  • [3] ZHANG H, HE J H, BO Z Q, Et al., Service restoration based on dynamic programming, Transactions of China Electrotechnical Society, 26, 12, pp. 162-167, (2011)
  • [4] ZHANG H B, ZHANG X Y, TAO W W., A breadth-first search based service restoration algorithm for distribution network, Power system technology, 34, 12, pp. 103-108, (2010)
  • [5] LU Z G, DONG Y X., Distribution system restoration based on improved binary particle swarm optimization, Automation of electric power systems, 30, 12, pp. 39-43, (2006)
  • [6] GONG W Z, FANG X Y., Research of distribution system service restoration algorithm based on hybrid encoding, Power system protection and control, 40, 12, pp. 104-108, (2012)
  • [7] LIU Z Q, SHI D G, CHEN Q, Et al., MILP approach based on node status optimization for distribution network restoration, Electric power automation equipment, 37, 1, pp. 53-57, (2017)
  • [8] LEI S B, WANG J H, CHEN C, Et al., Mobile emergency generator pre-positioning and real-time allocation for resilient response to natural disasters, IEEE transactions on smart grid, 9, 3, pp. 2030-2041, (2018)
  • [9] XU Y, LIU C C., Microgrids for service restoration to critical load in a resilient distribution system, IEEE transactions on smart grid, 9, 1, pp. 426-437, (2018)
  • [10] SUN J, WANG Z P, WANG Y N, Et al., Service restoration of complex distribution system with distributed generation, Power system protection and control, 42, 2, pp. 56-62, (2014)
123