Probabilistic vulnerability assessment based on power flow and voltage distribution

In this paper, a method to evaluate the power system vulnerability in terms of voltage magnitudes and transmission lines passing their limits is presented. Probabilistic technique is applied to obtain the distribution characteristics of the voltage magnitude and transmission line power flows. Cumulant-based expansion method is used to obtain the probabilistic distribution function (PDF) and cumulative distribution function (CDF) of power flows on transmission lines and voltage magnitudes at buses. The index to measure the system vulnerability is developed. The western North American power system model is used in the simulation to demonstrate the effectiveness of the method.

[1]  Ronald N. Allan,et al.  Bibliography on the Application of Probability Methods in Power System Reliability Evaluation 1996-1999 , 1984 .

[2]  J. E. Propst Calculating electrical risk and reliability , 1994, Proceedings of IEEE Petroleum and Chemical Industry Technical Conference (PCIC '94).

[3]  Wenyuan Li,et al.  Reliability Assessment of Electric Power Systems Using Monte Carlo Methods , 1994 .

[4]  Om P. Malik,et al.  On-line multi-contingency preprocessing of security assessment for severe weather based on qualitative reasoning with probability statistics classification , 1995 .

[5]  A. Abdelaziz A fuzzy-based power system reliability evaluation , 1999 .

[6]  Carmen L. T. Borges,et al.  Power System Reliability by Sequential Monte Carlo Simulation on Multicomputer Platforms , 2000, VECPAR.

[7]  Pierre-Etienne Labeau,et al.  Dynamic reliability: towards an integrated platform for probabilistic risk assessment , 2000, Reliab. Eng. Syst. Saf..

[8]  Chanan Singh,et al.  Probabilistic security analysis using SOM and Monte Carlo simulation , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[9]  S.T. Lee,et al.  Probabilistic load flow computation using the method of combined cumulants and Gram-Charlier expansion , 2004, IEEE Transactions on Power Systems.

[10]  Zhang Dongxia,et al.  Probabilistic Security Evaluation of Bulk Power System Considering Cascading Outages , 2006, 2006 International Conference on Power System Technology.

[11]  C.N. Lu,et al.  Two application examples of probabilistic risk assessment in power system operations , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[12]  A.C.G. Melo,et al.  Monte Carlo Simulation and Contingency Enumeration in Bulk Power Systems Reliability Assessment , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[13]  J.D. McCalley,et al.  Contingency Probability Estimation Using Weather and Geographical Data for On-Line Security Assessment , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[14]  J.A.D. Pinto,et al.  Probabilistic Steady-State Security Assessment of an Electric Power System Using A Monte Carlo Approach , 2006, Proceedings of the 41st International Universities Power Engineering Conference.

[15]  Yunting Song,et al.  Risk based probabilistic security evaluation algorithm of bulk power system , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[16]  Pak Chung Wong,et al.  Managing Complex Network Operation with Predictive Analytics , 2008, AAAI Spring Symposium: Technosocial Predictive Analytics.