Sensitivity Reliability Analysis of Power Distribution Networks Using Fuzzy Logic

2022 [Date of Conference: 17-18 November 2022]
Journal Title
Journal ISSN
Volume Title
Institute of Electrical and Electronics Engineers Inc.
Research Projects
Organizational Units
Journal Issue
This paper proposes a combined method utilizing both the reliability block diagram analytical technique and the Monte Carlo simulation method to estimate the reliability of power systems. Since the reliability of collected data is associated with noise and erroneous data, performing the sensitivity analysis is indispensable. Sensitivity analysis utilizing fuzzy logic specifies these uncertainties and their effects on the reliability calculations. The proposed method is applied to the Roy Billiton Test System Bus-2 to confirm its applicability. The obtained results have verified the sensitivity analysis's importance in drawing an accurate picture of reliability evaluation and a crucial tool for distribution power utilities to identify the susceptible parameters that seriously erode the system's complete reliability. © 2022 IEEE.
Fuzzy Logic, Monte Carlo Simulation, Power Distribution Networks, Reliability, Reliability Block Diagram, Roy Billiton Test System, Sensitivity Analysis
M. Wadi, W. Elmasry, I. Kucuk and H. Shahinzadeh, "Sensitivity Reliability Analysis of Power Distribution Networks Using Fuzzy Logic," 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran, Islamic Republic of, 2022, pp. 190-195, doi: 10.1109/ICCKE57176.2022.9959978.