Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
Publications from CSC-OpenAccess Library are being accessed from over 158 countries worldwide.
Convergence Problems Of Contingency Analysis In Electrical Power Transmission System
Taofik Adekunle Boladale, Gafari Abiola Adepoju
Pages - 12 - 23     |    Revised - 30-11-2016     |    Published - 31-12-2016
Volume - 10   Issue - 2    |    Publication Date - December 2016  Table of Contents
Contingency Analysis, Analytical method, RBF-NN method, Active and Reactive Performance Indices, Ranking.
Contingency analysis is a tool used by power system engineers for planning and assessing power system reliability. The conventional analytical method which is mathematical model based, is not only tedious and time consuming in view of the large number of components in the network but always left some critical components unassessed due to non-convergence of the power flow analysis of such, hence the contingency analysis of such system could not be said to be completed.

In this work, contingency analysis of line components of a standard IEEE-30 Bus and real 330-kV Nigerian Transmission Company of Nigeria (TCN) network (28Bus) systems were investigated using Radial Basis Function Neural Network (RBF-NN) which is artificial intelligence based.

The contingency analysis was carried out by solving the non-linear algebraic equations of steady state model for the standard IEEE-30 Bus and TCN-28 Bus power networks using Newton-Raphson (N-R) power flow method. RBF-NN method was used for the computation of Reactive and Active performance indices (PIR and PIA ) which were ranked in order to reveal the criticality of each line outage. Simulation was carried out using MATLAB R2013a version. The non-converged lines in both systems were reinforced and re-analysed. The results of contingency analyses of the reinforced systems show more robust systems with complete line ranking.
1 CiteSeerX 
2 refSeek 
3 Scribd 
4 SlideShare 
5 PdfSR 
1 O. S. Onohaebi, "Power Outages in the Nigeria transmission Grid". Medwell Journal of Applied Science, Vol.4, Issue1, pp.1-9, 2009.
2 S. Shahnawaaz and L. Vijayalaxmi "Contingency Ranking and Analysis Using Mipo International Journal of Engineering Trends and Technology (IJETT) - India; -Vol.10, No 8, ISSN:2231-5381, pp 417-422, 2014.
3 K. R. Amit, "Contingency Analysis in Power System", M.Eng. diss., Thapar University, Patiala, 2011.
4 P. Naik, "Power System Contingency Ranking using Newton Raphson Load flow method and its prediction using Soft Computing Techniques", M.Tech. diss., National Institute of Technology, Rourkela -769008, 2013.
5 G. C. Ejebe and B. F. Wollenberg, "Automatic Contingency Selection", IEEE Transactions on Power Apparatus and Systems, Vol. PAS-98, No. 1, January 1979, pp. 97-109, 1979.
6 G. Kusic, "Computer-Aided Power System Analysis", Second Edition, Taylor & Francis Group. LLC., 2009.
7 H. Maghrabi, J. A. Refaee, and M. Mohandes, "Contingency Analysis of Bulk Power System using Neural Networks". Proceedings of International Conference on Power System Technology, Beijing China. POWERCON. Vol. 2:pp. 1251-1254, 1998.
8 I. A. Adejumobi, G. A. Adepoju and K. A. Hamzat, "Iterative Techniques for Load Flow Study: A Comparative Study for Nigeria 330KV Grid System as a Case Study", International Journal of Engineering and advance Technology, ISSN:2249-8958, Vol.3, Issue-1, pp. 153- 158, 2013.
9 M. Boudour and A. Hellal, "Combined use of unsupervised and supervised learning for Large Scale power system Static Security Mapping", IEEE conference on Power Systems, pp.1321-1327, 2004.
10 K. Andrej, B. Janez and K. Andrej, "Introduction to the Artificial Neural Networks, Artificial Neural Networks-Methodological and Biomedical Applications, Prof. Kenji Suzuki (Ed.), ISBN; 978-953-307-243-2, In-Tech., pp 1-17, 2011.
11 D. C. Javan, R. H. Mashhadi and M. Rouhani, "Fast Voltage and Power Flow Contingencies Ranking using Enhanced Radial Basis Function Neural Network", IJEEE, vol.7, No.4, pp 273-282, 2011.
12 A. A. Mario, and A. C. Carlos, "A Contingency Ranking Method for Voltage Stability in Real Time Operation of power Systems". IEEE Bologna Power Tech Conference, Bologna, Italy, 0-7803-7967-5/03/, 2003.
13 V. Sarika, S. Laxmi, P. Manjaree and S. Manisha, "Voltage Stability Based Contingency Ranking using Distributed Computing Environment" International Conference on Power, Energy and Control Gwaior, M.P. India, pp 208-212, 2013.
14 O. J. Onojo, G. C. Ononiwu, and S. O. Okozi, "Analysis of Power Flow of Nigerian 330kv grid System(pre and post) using Matlab". European Journal of Natural Sciences, Vol.1(2), pp 59-66, 2013.
Mr. Taofik Adekunle Boladale
Works Department, Ladoke Akintola University of Technology. Ogbomoso, 210214, Nigeria. - Nigeria
Dr. Gafari Abiola Adepoju
Facuty of Engineering/ Electronic and Electrical Department Ladoke Akintola University of Technology. Ogbomoso, 210214, Nigeria - Nigeria