Fuzzy Inference System Approach to Restoration Path Optimization in Power Transmission Lines

Authors

  • Ye Htut Khaing Electrical Power Engineering Department, Yangon Technological University, East Gyogone, Insein
  • Okkar Soe Electrical Power Engineering Department, Yangon Technological University, East Gyogone, Insein

Keywords:

blackout, outage time, restoration process, transmission line routes, Fuzzy Inference System.

Abstract

Power systems have increased in size and complexity and national society depends heavily upon a high level of power system reliability. When the bulk transmission system is subjected to large disturbances there is the possibility of a system wide blackout due to cascading outages. After a partial blackout or system breakdown condition, restoring power system is needed and then power needs to be restored as quickly, stability and reliability as possible and consequently. Outage time after extensive blackouts depends very much on the power system restoration process. Power system restoration is a very challenging task to the operator since the situation is so far from normal conditions. This paper proposes a simulation-based tool MATLAB/SIMULINK that determines suitable restoration transmission lines route with using Fuzzy Inference System for IEEE 6 Bus System 

References

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Published

2016-11-20

How to Cite

Khaing, Y. H., & Soe, O. (2016). Fuzzy Inference System Approach to Restoration Path Optimization in Power Transmission Lines. American Scientific Research Journal for Engineering, Technology, and Sciences, 26(3), 109–123. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/2383

Issue

Vol. 26 No. 3 (2016)

Section

Articles

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