Artificial Neural Network Application for Contingency Ranking Based on Condition Number Incorporating IPFC
Suresh Babu Daram · Helix · 2018
This paper investigates the effect of incorporating an IPFC on Contingency Ranking(CR).The contingencies are ranked based Condition Number (CN) of the Jacobian matrix of Newton-Raphson load flow technique.The contingency ranking was done for single transmission line outage conditions with and without incorporating IPFC.Further, the ranking was done under system load enhancement condition.Suitable Artificial Neural Network (ANN) architectures are designed to predict the contingency ranking of a system.The results obtained based on case studies carried out on IEEE-6 Bus System and Indian Utility UPSEB-75 Bus System are presented.MATLAB environment was used for simulation purpose.