Paper Title
Static Security Assessment Based On Ranking Of Ieee 14 Bus Power System

Contingency plans based on N-1 and N-2 contingencies are already very much used by utilities. Algorithms for analysing the contingency scenario along with state of art congestion management are developed on line and off line. This gives extra backup and boost to reliable operation under contingent scenario of power system. This paper envisages the summary of all those efforts. This paper will help utilities to put more thinking in terms of recent developments in fast and intelligent computing methods. The paper highlights classical research and modern trends in contingency analysis. Security of power system needs to be assessed based on formulated algorithms. Security parameters can be inclusive of many parameters such as overloading of lines or stability parameters. Accordingly security can be classified as static and dynamic. Steady state stability assessment of a power system pursues a two-fold objective: first to appraise the system's capability to withstand major contingencies, and second to suggest remedial actions, i.e. means to enhance this capability, whenever needed. The first objective is the concern of analysis, the second is a matter of control. The paper simulates IEEE 14 bus benchmark power system for security assessment based on ranking related to overload performance index. Results shows potential to correctly analyse the loading related issues and power system operators responsible for loading can find the results useful for assessment and same can be extended to dynamic parameters of stability as well using wide area management and synchrophasor measurement units being installed extensively in INDIA on a large scale as a near future of more secured power system. Keywords- Contingency Analysis (Ca), Artificial Neural Network (ANN).