Finding the causes of outages and the most suitable solution for reducing them, in an economically optimal way, has always been one of the main challenges for electricity distribution companies. However, due to the variety of climate conditions, diversity in the structure, equipment, and facilities of each distribution network, as well as the difference in preventive and maintenance programs, there is no single solution to improve the reliability of distribution networks. This paper presents a novel approach based on sampling procedure to fast analyze system reliability with limited data. Considering the poor state of reliability of the distribution network of Sistan and Baluchestan province at the country scope, as well as the implementation of training and evaluation plans of distribution companies of Iran in this field, in this research, the reliability situation of the distribution network of the province is analyzed with proposed method in order to identify vulnerable areas, and then proposing a solution for improving reliability. For this purpose, the feeders of the selected cities have been determined by a two-step non-random sampling method. and then the causes of errors in the critical feeders are scrutinized. then the available solutions to improve the reliability situation for the selected city have been presented.
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Sahranavard et al. (2023) studied this question.
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