Transient stability assessment of power system incorporating wind power using quasi-monte carlo method

In this paper, a probabilistic assessment method based on quasi-Monte Carlo method to analyze the transient stability of power system incorporating wind power is proposed. Two indices are introduced to assess the transient stability of power system. The quasi-Monte Carlo method is applied to take the stochasticity and volatility of wind power into consideration. Finally, the case studies based on the IEEE standard test system as benchmark are conducted to reveal the impacts of wind power uncertainties on the transient stability of power system. Some meaningful conclusions are drawn.

[1]  Liangzhong Yao,et al.  Transient stability of power systems with high penetration of DFIG based wind farms , 2009, 2009 IEEE Power & Energy Society General Meeting.

[2]  H. Pinheiro,et al.  An Analytical Tool for Computing Transient Stability Margins of Power Systems with Large Amount of Wind Power , 2007, 2007 International Conference on Clean Electrical Power.

[3]  Liangzhong Yao,et al.  Transient Stability Evaluations of Power System with Large DFIG Based Wind Farms , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[4]  Tianshu Bi,et al.  Impact of DFIG-based wind farm on transient stability of single machine infinite bus system , 2013, 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[5]  Guojie Li,et al.  A stochastic model for power system transient stability with wind power , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[6]  Rob A. Rutenbar,et al.  Why Quasi-Monte Carlo is Better Than Monte Carlo or Latin Hypercube Sampling for Statistical Circuit Analysis , 2010, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[7]  Liangzhong Yao,et al.  Impacts of wind power intermittency on power system transient stability , 2012 .