A transient tripping decision-making model for sending-out wind power system

被引:0
|
作者
Dong Z. [1 ]
Zhou M. [1 ]
Li G. [1 ]
Li H. [2 ]
Huang J. [1 ]
Guo F. [2 ]
机构
[1] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University), Changping District, Beijing
[2] State Power Economic Research Institute, Changping District, Beijing
来源
基金
中国国家自然科学基金;
关键词
Bi-objective optimization; Generator tripping control; Transient energy function; Transient stability; Wind power sending out;
D O I
10.13335/j.1000-3673.pst.2016.05.009
中图分类号
学科分类号
摘要
This paper focuses on coordinated tripping measures with sending-out wind power base participation. Based on analysis of transient characteristics of squirrel cage induction generator (SCIG), doubly-fed induction generator (DFIG) and direct-drive permanent magnet synchronous generator (DDPMG), different effects caused by tripping SCIG, DFIG and DDPMG on the first swing and recovery process of system oscillation, relating to system damping changes, are studied by defining transient energy tripping control index and system oscillation recovery index. Research shows that effects of tripping DFIG and DDPMG are similar but combined tripping of three different wind power generators should be considered. To coordinate both angle stability and recovery process of system oscillation after tripping, a bi-objective nonlinear weighted fuzzy tripping optimization model is proposed to determine optimal tripping combination of different wind power generators. Simulation results show that it improves characteristics of both first swing and subsequent system recovery process. It is a helpful guideline to enhance power system stability. © 2016, Power System Technology Press. All right reserved.
引用
收藏
页码:1348 / 1354
页数:6
相关论文
共 16 条
  • [1] Wang N., Ding K., Zhi J., Et al., The transmission of combined electricity generated from wind and thermal is an effective way to solute the market bottleneck in wind power development, Electric Power Technology, 19, 13, (2010)
  • [2] Zhang M., Xu J., Li J., Research on transient stability of sending power grid containing high proportion of wind power, Power System Technology, 37, 3, pp. 740-745, (2013)
  • [3] Yu Q., Sun H., Tang Y., Et al., Impact on angle stability of power system with doubly fed induction generators connected to grid, Power System Technology, 37, 12, pp. 3399-3405, (2013)
  • [4] Chen S., Chang X., Sun H., Et al., Impact of grid-connected wind farm on damping performance of power system, Power System Technology, 37, 6, pp. 1570-1577, (2013)
  • [5] Wang T., Bi T., Wang H., Et al., Decision tree based online stability assessment scheme for power systems with renewable generations, CSEE Journal of Power and Energy Systems, 1, 2, pp. 53-61, (2015)
  • [6] Du W., Bi J., Wang T., Et al., Impact of grid connection of large-scale wind farms on power system small-signal angular stability, CSEE Journal of Power and Energy Systems, 1, 2, pp. 83-89, (2015)
  • [7] Liu W., Cai W., Dan Y., Et al., The evolution of grid's self-organized criticality state based on entropy theory under the circumstance of large scale wind power centralized grid, Power System Technology, 37, 12, pp. 3392-3398, (2013)
  • [8] Chen S., Chen H., Tang X., Et al., Generator tripping control to uphold transient stability of power grid outwards transmitting thermal-generated power bundled with wind power, Power System Technology, 37, 2, pp. 514-519, (2013)
  • [9] Yang M., Guo L., Wang C., Et al., Transient optimal tripping control of grid-connected wind farms based on advanced branch transient energy function, Power System Protection and Control, 42, 18, pp. 72-77, (2014)
  • [10] Chen S., Zhu L., Ding J., Et al., Impact of grid-connected wind farms on high frequency generator tripping in isolated power grid, Power System Technology, 36, 1, pp. 58-64, (2012)