Radial Basis Function Networks For Contingency Screening & ranking Analysis |
Author(s): |
| Mahesh Pal Singh , ME,DEPTT. OF ELECTRICAL ENGINEERING OF JABALPUR ENGINEERING COLLEGE,JABALPUR,INDIA |
Keywords: |
| Contingency, Voltage stability, Radial Basis Function, Newton Raphson load flow |
Abstract |
|
Radial Basis Function Networks (RBFNs) are used for contingency ranking of bulk power system. The motivation behind this work is to exploit the non-linear mapping capabilities of RBFN in estimating line loading and bus voltage of a bulk power system in stressed/abnormal condition. Unlike most of the available neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. The performance of the RBFN is compared with a conventional Newton Raphson load flow method in terms of maximum load ability index (Smax) & reactive power performance index (PIv). |
Other Details |
|
Paper ID: IJSRDV3I70452 Published in: Volume : 3, Issue : 7 Publication Date: 01/10/2015 Page(s): 830-833 |
Article Preview |
|
|
|
|
