Probabilistic reliability indices evaluation of electrical distribution system accounting outage due to overloading and repair time omission

Smart electricity meter reliability prediction based on accelerated degradation testing and modeling

“…It is expected to improve the major weak points of the current electricity grid, by improving the communication and control functions [5][6][7][8]. This requires an effective, reliable and real-time information flow [9,10] to be implemented through an advanced metering infrastructure (AMI) in which smart electricity meters (SEMs) are the communication and metering terminals for the purposes of billing and controlling by the distribution company ( Figure 1) [11]. Figure 1 The structure of smart grid`s functions and its relationship with the SEM [11] The SEM is an advanced meter that measures the consumption in more details than a conventional meter and optionally, but generally, transmits the information back to the local distribution system for monitoring and billing purposes [12].…”

A methodology to include real-life failure data in the failure rate estimation of power distribution systems

“…The random failures are estimated based on a constant average value, which is called the random failure rate and is obtained by dividing the total number of random failures within the sampling interval. Another group, aging failures, is used to define a conditional probability function in which the aging failure depends on the age of the related device [7,11,13].…”

Modelling of Equipment Failure Rate Accounting for the Uncertainty

“…Firstly, it is presumed that original matrix (12) Secondly, the data matrix have to be standardized using the standard deviation method and named as standardized data matrix, …”