Reliability evaluation of distribution
networks under grid-tied and islanded μ grid modes is presented. The Monte Carlo
simulation (MCS) algorithm is applied to a modified RBTSBus 2 distribution network. The network includes
three types of distributed energy resources, namely, solar photovoltaic (PV),
wind turbine (WT), and diesel turbine generator (DTG). These
distributed generators contribute to supply part of the load during
grid-connected mode, but supply 100% of the load in the islanded μ grid mode. A storage system is included to
decrease the peak load since the peak of the output power of the PV’s and the peak load do not match time wise in
most load profiles. The impact of implementing renewable distributed
generation, storage systems, and conventional generation on the reliability of
distribution network is studied. This study shows that the penetration of
distributed generations can improve the reliability indices of the distribution
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