Artificial Neural Network Approach for Contingency Analysis in Power System

Electrical Engineering

Contingency analysis is one of the most important tasks encountered by the planning and operation engineers of bulk power system. Power system engineers use contingency analysis to examine the performance of the system and to assess the need for new transmission expansions due to load increase or generation expansions. The security evaluation is a crucial venture because it offers the statistics regarding the system state within the occasion of a contingency. Contingency analysis technique is being widely used to are expecting the result of outages like failures of kit, conductor etc., and to require essential movements to live the facility device cozy and dependable. A new approach using Artificial Neural Networks has been proposed in this paper for real-time network security assessment. Security assessment has two functions the first is violation detection in the actual system operating state. The second, much more demanding, function of security assessment is contingency analysis.

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