A View Mathematical Analysis of Reliability of Power System Considering RLS Parameters in Fuzzy Logic Space
R.N. Yadav1, G.P. Chhalotra2, R.K. Tiwari3, Rajesh Khattri4 

1Dr. R.N. Yadav, Director, Grade Scientist & Head, Research Development Centre, Regional Research Laboratory, Advanced Materials and Process Research Institute, Govt. of India, Bhopal, (M.P.), India.
2Dr. G.P. Chhalotra, Professor, Department of Electrical Engineering (Retired), Govt. Engineering College, Jabalpur, (M.P.), India.
3Dr. R.K. Tiwari, Director, TIT-MBA College, Bhopal(M.P.), India.

4Rajesh Khattri, Research Scholar, RGPV Technical University, Bhopal (M.P.), India.
Manuscript received on August 18, 2011. | Revised Manuscript received on August 24, 2011. | Manuscript published on September 05, 2011. | PP: 116-121 | Volume-1 Issue-4, September 2011. | Retrieval Number: D099071411/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Beside all Engineering Systems Elect. Power System are merely subjected to uncertain failures. The electrical parameters of power system are also responsible for the losses, thermal breakdown and failure rates. The effect of ‘R’ ‘L’ and ‘C’ in failure rates of power system components can be simulated using fuzzy linguistic variables. ‘RLC’ power system may be lower low medium, higher and high, these. Fuzzy linguistic variables may be used to evaluate the failure rates of lower, low medium, higher and high values. The reciprocal of failure rates of different components will give the MTBF’s of those components, along with its membership function or fuzzy grade of truths. The cardinality and relative cardinality of components may be evaluated. Assuming relative cardinality as an average reliability of the system its reliability may be investigate. Fuzzy relations may be used for analyzing the reliability attributes of power system. The optimized reliable condition may be evaluated.
Keywords: Magnetic Perability, MTBF, MTTF.