Smart Grid reliability assessment utilizing Boolean Driven Markov Process and variable weather conditions

The transition from conventional electric grid to a more environmentally-friendly, reliable and efficient grid necessitates the reliability improvement. This will play an indispensable role in the future power system called Smart Grid (SG) due to the digital power supply requirements. This distinctive study demonstrates a combined effect of weather conditions and distributed generations (DGs) on the availability of the power system in a region. The ability to model the dynamics of the SG including the variation of weather conditions at different locations for the large-scale system is formulated. In this effort a novel approach is proposed based on the Variable Weather Boolean Logic Driven Markov Process (VW-BDMP), which is utilized along with statistical data. The major contribution of this paper is to introduce a method for the SG reliability assessment (SGRA) considering variable weather conditions, which provides an advantageous tool for the future power system reliability studies.