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Abstract

Due to extensive outages occurring in recent decades, coupled with the impacts of climate change, the number and types of non-forecasted faults are on the rise. This paper investigates the impact of the type and capacity of distributed generation resources on the resiliency of distribution networks. Genetic and Grey Wolf Optimization algorithms are employed for simulation to address the problem of optimal distributed generation resource allocation to enhance system resiliency. The results obtained by implementing the proposed model on a real-world sample network, demonstrate that network resilience depends on the type and capacity of distributed generation resources used in the network. When appropriately placed, Distributed Generations (DGs) can enhance network resiliency. The resilience index increases significantly at first with an increase in the capacity of distributed generation resources and then decreases beyond a certain point and Increasing the budget to a certain extent improves resilience, but allocating more budget does not necessarily lead to changes in the resilience index‎.