Power System Reliability and Maintenance
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Peer reviewed
Abstract
Abstract
Existing reliability assessment methods for distribution networks insufficiently characterize the impacts of faults in key components other than branches, and they often suffer from high computational complexity and repeated searches when identifying fault-affected areas. To address these issues, this paper proposes an analytical method for calculating reliability indices in distribution networks based on extended component fault modeling. First, the fault modeling objects in distribution networks are extended to multiple types of key components, including branches, sectionalizing switches, ring main units, and distribution transformers. Second, a spatial correlation matrix is constructed to describe the topology of the distribution system, source-to-load power supply paths, and the positional relationships of switching components. On this basis, an extended component fault impact correlation matrix is derived to characterize the spatial correlations between different types of component faults and the affected load nodes. Finally, through a single algebraic operation between the extended component fault–impact correlation matrix and the reliability parameter vector, explicit analytical expressions of both load-level and system-level reliability indices are obtained, thereby avoiding the repeated iterative searches required in the fault enumeration process of existing reliability assessment methods. Case study results show that the proposed method improves the evaluation efficiency by one order of magnitude while maintaining result accuracy. It can also explicitly quantify the impacts of faults in branches, sectionalizing switches, ring main units, and distribution transformers on system reliability, thereby more accurately reflecting the actual level of secure and reliable operation of the distribution network. This method can provide theoretical support and a methodological basis for reliability assessment and planning of complex distribution systems.
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@article{Li2026Analytical,
title = {Analytical Calculation Method for Power Supply Reliability Indices in Distribution Networks Based on Extended Component Fault Modeling},
author = {Shurong Li and Tang Baofeng and Shujun Zhao and C WANG and Jiacheng Fo and Fengzhang Luo},
journal = {Energies},
year = {2026},
doi = {10.3390/en19143271},
url = {https://doi.org/10.3390/en19143271}
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