Reliability Assessment of Distribution Networks with Distributed Generations using Monte Carlo Method

As the development of smart grid, more and more distributed generations (DGs) are introduced to the distribution networks in the power system. This paper presents a Monte Carlo method for calculating the reliability of the distribution system with DGs. To begin with, the models of DGs and the islanding schemes are discussed. Applying Monte Carlo stimulation, the paper puts forward a new method for system failure state assessment based on minimal path and zoning concepts. An example based on IEEE-RBTS Bus6 is applied to study the impacts brought by DGs to the distribution system, taking a lot of elements into consideration such as models of DGs, switch devices configuration, multiple accidents and islanding strategies.