Contingency Analysis of Fault and Minimization of Power System Outage Using Fuzzy Controller
A. Sathish Kumar1, M. Saravanan2, N. Joshna3, G. Seshadri4
1A.Sathish Kumar*, Department of Electrical and Electronics Engineering, Holy Mary Institute of Technology and Science, Hyderabad, India.
2M.Saravanan, Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India.
3Dr.N.Joshna, Department of Mathematics, Holy Mary institute of Technology and Science, Hyderabad, India.
4Dr.G.Seshadri, Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India.
Manuscript received on October 15, 2019. | Revised Manuscript received on 24 October, 2019. | Manuscript published on November 10, 2019. | PP: 4111-4115 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4461119119/2019©BEIESP | DOI: 10.35940/ijitee.A4461.119119
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Abstract: In power systems, voltage stability perform the major role in design and its operation. Major system failures are occur due to voltage variability and breakdown. To meet and compensate the rising power demand of regular usage in modern trends, transmission networks are enormously loaded which create the voltage instability. Contingency analysis is a recognized energy managing tool. It calculate the violation in the transmission line. In this paper a computational controller fuzzy system is suggested to handle the transmission line outage and overload in other branch kind of problems in Power system. The efficiency of power transmission system with fuzzy controller is inveterate by computation of various parameters of transmission bus under different loading situations. For the contingency analysis the transmission power flow several methods have been developed. Fast Decoupled load flow program is the effective method which provides a fast and effective solution to the contingency analysis in the transmission system and also it is incorporate with matrix alteration formula which gives additional advantage for the system.
Keywords: Fuzzy Logic, Voltage stability, Contingency Analysis, non-linear system. I. INT
Scope of the Article: Fuzzy Logic