Probabilistic steady-state voltage stability assessment considering stochastic wind power

被引：0
|
作者：
Chen L. [1 ]
Min Y. [1 ]
Hou K. [2 ]
机构：
[1] State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Dept. of Electrical Engineering, Tsinghua University, Haidian District, Beijing
[2] Northeast China Grid Company Limited, Shenyang, 110181, Liaoning Province
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2016年 / 36卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Cumulant; Gram-Charlier series expansion; L index; Steady-state voltage stability; Wind power;
D O I：
10.13334/j.0258-8013.pcsee.2016.03.010
中图分类号：
学科分类号：
摘要：
A probabilistic steady-state voltage stability assessment method considering stochastic wind power was proposed. The L index was adopted to assess the voltage stability of buses, and the sensitivity of L index to bus injection power was firstly derived. From the probability density function of wind power, the cumulants were computed, and then the cumulants of L index were computed from the approximate linear relationship of L index and bus injection power. Finally the probability density function of L index was reconstructed using the Gram-Charlier series expansion and used to compute the risk of voltage instability, which could be used to assess the voltage stability of the system and identify weak buses. The method is validated by simulation results and can be used for probabilistic steady-state voltage stability assessment of power systems with wind power integration. © 2016 Chin. Soc. for Elec. Eng..
引用
收藏
页码：674 / 680
页数：6
相关论文
共 20 条
  • [1] Vittal E., O'Malley M., Keane A., A steady-state voltage stability analysis of power systems with high penetrations of wind, IEEE Transactions on Power Systems, 25, 1, pp. 433-442, (2010)
  • [2] Bao H., Wei H., A stochastic response surface method for probabilistic evaluation of the voltage stability considering wind power, Proceedings of the CSEE, 32, 13, pp. 77-85, (2012)
  • [3] Yang Y., Li G., Wang Z., Probabilistic voltage stability assessment based on credibility theory for power system with wind farm, Electric Power Automation Equipment, 34, 12, pp. 6-12, (2014)
  • [4] Ding M., Li S., Huang K., Probabilistic load flow analysis based on Monte-Carlo simulation, Power System Technology, 25, 11, (2001)
  • [5] Li W., Lu J., Monte Carlo method for probabilistic transient stability assessment, Proceedings of the CSEE, 25, 10, pp. 18-23, (2005)
  • [6] Chen Y., Wen J., Cheng S., Probabilistic load flow analysis considering dependencies among input random variables, Proceedings of the CSEE, 31, 22, pp. 80-87, (2011)
  • [7] Li Z., Zhang B., Duan Y., Et al., Fast calculation of probabilistic available transfer capability in power systems including large-scale wind farms, Proceedings of the CSEE, 34, 4, pp. 505-513, (2014)
  • [8] Luo G., Shi D., Cai D., Et al., Fast calculation of probabilistic available transfer capability considering correlation in wind power integrated systems, Proceedings of the CSEE, 34, 7, pp. 1024-1032, (2014)
  • [9] Ai X., Wen J., Wu T., Et al., A practical algorithm based on point estimate method and Gram- Charlier expansion for probabilistic load flow calculation of power systems incorporating wind power, Proceedings of the CSEE, 33, 16, pp. 16-22, (2013)
  • [10] Li Y., Li W., Yan W., Probabilistic power flow using the point estimate method considering bounded wind speeds, Proceedings of the CSEE, 35, 7, pp. 1606-1612, (2015)
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