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Predictive-Based Stochastic Modelling of Power Transmission System for Leveraging Fault Tolerance

  • G. Raghavendra
  • Manjunath Ramachandra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 466)

Abstract

With the dynamicity in the load requirements of the user, it is essential that power transmission lines should be highly resilient against any possibilities of error or outage. The existing techniques have witnessed some good solutions towards ensuring fault tolerance, but it was never analyzed from the viewpoint of smart grid system using predictive principles. Hence, this paper presents a system that performs stochastic modelling of the distributed power generation system considering dual power states i.e. available and outage. The study also implements a cost effective algorithm for random modelling the distributed generation system of power to reduce the outage probability and increase the capacity probability considering all the possible cases of susceptible errors in transmission lines with islanding mechanism. The study outcome shows superior analysis of load capacity with respect to the existing system.

Keywords

Power transmission system Stochastic modelling Fault tolerance Outage Prediction 

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Copyright information

© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  1. 1.Jain UniversityBangaloreIndia

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