Development of Electrical Power System Reliability Based on System Parameters and Fuzzy Control
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: 109-115 | Volume-1 Issue-4, September 2011. | Retrieval Number: D098071411/2011©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: Static reliability and dynamic reliability are based on electrical power system parameters. The dual network can work as deadbeat controller for the objective network the mechanical parameters are always coupled, with electrical parameters and they cannot be separated. One can use the Fuzzy logic theory to deal with electrical parameters coupled with mechanical parameters in calculation the reliability and costly depends on electrical built in reliability or material reliability and costly depends on electrical resistively P, Permittivity. (εr) and magnetic permeability (µr ). These specific (D) and represent R,C,L, parameters in macroscopic models, of electrical power system. System parameters are too many and one can take help of thermal conductivity, enthalpy, melting point specific heat capacity, adhesivity, compatibility, hardness, tensile strength, Fatigue Creep, Cracks, brittles and fracture.’). 1hese are all Fuzzy Parameters. The parameters represent MTBF and MTTF of the systems.
Keywords: Magnetic Perability, MTBF, MTTF.