Case Study On Fuzzy Logic Based Network Contingency Ranking.

Abstract

Security assessment of a power system is very important function to detect any violation in the system and to ensure secure operation of the system in deregulated environment. Contingency ranking is the process of indexing the possible contingencies of the system on the basis of their severity. The method proposed in this research work takes the consideration of both apparent power overloading and voltage violations at the same time. From which Performance Indices (PI) is obtained. Masking effect is a very important factor which results in misclassification of contingencies which can be eliminated by using fuzzy logic. The proposed approach, in addition to real power loadings and bus voltage violations, voltage stability indices at the load buses are also used as the post-contingent quantities to evaluate the network contingency ranking of a Practical IEEE30 bus system.