Reliability Prediction of Composite Power System Using Bayseian Regularization based ANN model
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 4
Abstract
Power Systems Are Growing With Ever Increasing Demand From Consumers. Network Expansion Is Inevitable To Cope Up With The Exponential Load Growth. Power System Engineer Must Ensure That The Expanded Grid Is Not Breaching The Reliability Limits. Reliability Prediction Of Bulk Power System Remained A Challenging Task For System Planner. Neural Networks Are Good At Handling The Nonlinear Power System Problems. In This Paper Bayseian Regularization Algorithm Based Neural Network Model Is Developed To Predict The Reliability Of The Bulk Power System. Roy Billinton Test System (Rbts) Is Used To Implement The Proposed Methodology. For Judging The Performance Of The Proposed Model Mean Squared Error, Regression Plot And Error Histograms Were Used.
Authors and Affiliations
Venkatasatheesh Babu . K, Dr. V. Madhusudhan
Keywords
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