Reliability modeling of process-oriented smart monitoring in the distribution systems

Smart monitoring systems are applied in smart grids to improve the reliability of the components. One of the functionality principles in these systems is to assess the potential rate of exposure to the failure of system components. To this end, appraisal of the failure rooting and origins for each component is a proper way to judge the system's status, and evaluation of the processes for the newly incoming components can be a possible solution. These processes consist of the phase of design, purchase, installation, and operation. This paper introduces a novel mathematical model to assess the reliability of the distribution networks integrated with the process-oriented smart monitoring systems. The model utilizes the Markov method and incorporates the effect of process failure factors on the overall system reliability. The proposed model is implemented on a real test system and investigated through simulations to study the different aspects of the problem. The results show significant benefits of the proposed model and reveal up to 90% improvement in the reliability of the system after employing smart monitoring systems.