Computation of Static Voltage Stability Margin for Power System Considering Fluctuation Interval of Wind Farm Output

被引:0
|
作者
Lu Y. [1 ]
Lin S. [1 ]
Liu M. [1 ]
Yang Z. [1 ]
机构
[1] School of Electric Power Engineering, South China University of Technology, Guangzhou
来源
Lin, Shunjiang (linshj@scut.edu.cn) | 2018年 / Automation of Electric Power Systems Press卷 / 42期
关键词
Affine-interval algorithm; Interval correlation; Sensitivity; Stability margin interval; Static voltage stability; Wind power;
D O I
10.7500/AEPS20171103002
中图分类号
学科分类号
摘要
Large scale wind power integrated into power system makes the static voltage stability margin (SVSM) computation need to consider the impact of wind farm output fluctuations. The interval number is used to describe the random fluctuation characteristics of wind farm output, the method of calculating the interval value of SVSM of power system with wind farm integration is proposed based on continual power flow method and affine-interval algorithm, Firstly, the wind power output fluctuation interval is segmented according to the different bifurcation types of voltage stability limit points. Then the continual power flow method is used to calculate SVSM corresponding to each interval central value, and then the sensitivity of SVSM to wind farm output is calculated according to the corresponding bifurcation type. Finally, the results of interval shrinkage are obtained by the optimization of noise element range based on linear programming models, and the interval of SVSM is obtained. Correlation angle is used to express the correlation of different wind farm output intervals. According to the types of bifurcation are same or not, different methods are used to calculate the interval of SVSM. IEEE 39-bus system and a provincial 964 node power grid are taken as examples, and compared with Monte Carlo simulation method, the results show that the interval of SVSM obtained by the proposed method has higher accuracy and the computation burden is reduced obviously. © 2018 Automation of Electric Power Systems Press.
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页码:92 / 100
页数:8
相关论文
共 21 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] Chen H., Duan X., Chen J., Impacts of distribution generation on steady state voltage stability of distribution system, Power System Technology, 30, 19, pp. 27-30, (2006)
  • [3] Rodrigues A.B., Da Silva M.G., Probabilistic assessment of available transfer capability based on Monte Carlo method with sequential simulation, IEEE Transactions on Power Systems, 22, 1, pp. 484-492, (2007)
  • [4] Ding M., Li S., Wu H., Integrated evaluation of power system adequacy and stability, Proceedings of the CSEE, 23, 3, pp. 20-25, (2003)
  • [5] Li W., Lu J., Monte Carlo method for probabilistic transient stability assessment, Proceedings of the CSEE, 25, 10, pp. 18-23, (2005)
  • [6] Schellenberg A., Rosehart W., Aguado J., Cumulant-based probabilistic optimal power flow (P-OPF) with Gaussian and Gamma distributions, IEEE Transactions on Power Systems, 20, 2, pp. 773-781, (2005)
  • [7] Wang C., Yu X., A method for computing the probability distribution of fault critical clearing time, Proceedings of the CSEE, 24, 1, pp. 6-10, (2004)
  • [8] Morales J.M., Perez-Ruiz J., Point estimate schemes to solve the probabilistic power flow, IEEE Transactions on Power Systems, 22, 4, pp. 1594-1601, (2007)
  • [9] Yang H., Zou B., A three-point estimate method for solving probabilistic power flow problems with correlated random variables, Automation of Electric Power Systems, 36, 15, pp. 51-56, (2012)
  • [10] Ding T., Cui H., Gu W., Et al., An uncertainty power flow algorithm based on interval and affine arithmetic, Automation of Electric Power Systems, 36, 13, pp. 51-55, (2012)