Application of Neural Network for Contingency Ranking Based on Combination of Severity Indices

In this paper, an improved technique for contingency ranking using artificial neural network (ANN) is presented. The proposed approach is based on multi-layer perceptrons trained by backpropagation to contingency analysis. Severity indices in dynamic stability assessment are presented. These indices are based on the concept of coherency and three dot products of the system variables. It is well known that some indices work better than others for a particular power system. This paper along with test results using several different systems, demonstrates that combination of indices with ANN provides better ranking than a single index. The presented results are obtained through the use of power system simulation (PSS/E) and MATLAB 6.5 software.

Authors:

• S. Jadid
• S. Jalilzadeh

Keywords:

• composite indices
• transient stability
• neural network.

References:

[1] S.Kirshna and K.R.Padiyar" Transient stability assessment using artificial
neural network". Industrial Technology 2000,Proceeding of IEEE
International conference on,Vol.1,,2000,pp 627-632
[2] A.A.Fouad .et.al "Transient stability program output analysis" IEEE
Transaction on power systems ,Vol.1,No.1,pp 2-9
[3] M.H.Haque"Hybrid method of determining the transient stability
margin of a power system".IEE,Proceeding in Generation ,Transmission
and Disturbution,Vol 143,No.1,January1996 ,pp 27-32
[4] D.J.Sobajic and Y.H.Pao" Artificial neural network based dynamic security
assessment for electric power system". IEEE Transaction on power
systems,Vol.4,No.1,1989,pp 220-228.
[5] C. K. Pang , F. S. prabhakara , A. H. EI - Abiad and A. J. Koivo" Security
evaluation in power system using pattern recognition". IEEE , Trans. PAS
- 93,1974, pp 969-975 .
[6] L. Wehenkel , T. h. Van custem and M. R. pavella" An artificial
intelligence framework for on line Transient stability assessment of
power system". IEEE Transaction on power systems,Vol.4 ,1989,
pp 789-800 .
[7] Chengjun.F.U and Anjan Bose" Contingency ranking based on severity
indices in dynamic security analysis". IEEE Transaction on power
system,Vol.14,No.3,August1999,pp254-259
[8] K.W.Chan,R.W.Dunn,A.R.Daniels,J.A.Padget,P.H.Buxton,M.J.Rawlins,
and A.O.Likwue" Online dynamic security contingency screening and
ranking".IEE Proceeding,Part-C,Vol.144,No.2,March1997,pp 132-138
[9] A.L.Bettiol et.al "Transient stability constraint maximum allowable
transfer". IEEE Transaction on power system,PE-334-PWRS-0-06,1998.
[10] Wenping Li and Anjan Bose" A coherency based rescheduling method
for dynamic security",.IEEE Transaction on power systems,
Vol.13,No.3,August1998,pp 254-259
[11] M. A. EI - Kady , A. A. Found. And C. C. Liu" Knowledge - based
system for direct stability analysis". EPRI. Final Report No. EL - 6796 ,
Electr , power Res. Inst. Paloalto , CA , APR,1990.
[12] A. B. R. Kumar , A. Ipakehi , V. Brandwajn , M. E I - Sharkawi and G.
Cauley "Neural Network for dynamic security assessment of large power
system requirments overview"Proceeding. 1st Int , forum application of
artificial neural networks to power system , seattle , WA ,USA ,1991,
pp 62-71