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
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
  • [11] Hu Z., Wang X., Error analysis of the probabilistic load flow based on cumulant method, Power System Technology, 33, 18, pp. 32-37, (2009)
  • [12] Du W., Bu S., Wang H., Effect of stochastic variation of grid-connected wind generation on power system small-signal probabilistic stability, Proceedings of the CSEE, 31, pp. 7-11, (2011)
  • [13] Fan M., Vittal V., Heydt G.T., Et al., Probabilistic power flow studies for transmission systems with photovoltaic generation using cumulants, IEEE Transactions on Power Systems, 27, 4, pp. 2251-2261, (2012)
  • [14] Shi D., Cai D., Chen J., Et al., Probabilistic load flow calculation based on cumulant method considering correlation between input variables, Proceedings of the CSEE, 32, 28, pp. 104-113, (2012)
  • [15] Zhu X., Liu W., Zhang J., Probabilistic load flow method considering large-scale wind power integration, Proceedings of the CSEE, 33, 7, pp. 77-85, (2013)
  • [16] Duan Y., Zhang B., Liu Y., Security risk assessment of power system based on fast probabilistic power flow, Proceedings of the CSEE, 34, 22, pp. 3784-3790, (2014)
  • [17] Zhu X., Huang Y., Zhang J., Et al., A practical algorithm based on extended sequence operation for probabilistic load flow of power systems with wind power, Proceedings of the CSEE, 34, 28, pp. 4799-4808, (2014)
  • [18] Kessel P., Glavitsch H., Estimating the voltage stability of a power system, IEEE Transactions on Power Delivery, 1, 3, pp. 346-354, (1986)
  • [19] Jia H., Yu Y., Wang C., An application of local index to on line monitoring and control of power system voltage stability, Power System Technology, 23, 1, pp. 45-49, (1999)
  • [20] Jiang T., Chen H., Li G., A new algorithm for partitioned regulation of voltage and reactive power in power system utilizing local voltage stability index, Power System Technology, 36, 7, pp. 207-213, (2012)