Article: Research on reliability assessment method for distributed distribution network power supply with self-healing performance Journal: International Journal of Computer Applications in Technology (IJCAT) 2026 Vol.78 No.6 pp.40 - 56 Abstract: External environmental factors such as weather can cause changes in the failure rate of power supply components in distributed distribution networks, resulting in spatiotemporal correlation failures, affecting self-healing performance and reducing reliability. This article proposes a power supply reliability evaluation method for distributed distribution networks with self-healing performance. Firstly, a topology model of the distribution network is constructed using graph theory. The adjacency matrix and adjacency table are used to describe the node connection relationship, and topology shrinkage technology is combined to simplify the complex grid structure and remove redundant branch lines to improve computational efficiency. Secondly, a system of component reliability indicators, load point reliability indicators, system reliability indicators and electricity reliability indicators was constructed. Finally, the sequential Monte Carlo simulation method is used to simulate the fault process with self-healing actions through component state sampling, fault affected area division and load transfer analysis. Based on simplified topology and comprehensive index system, a comprehensive evaluation of the self-healing performance and reliability of distributed distribution networks is achieved. Inderscience Publishers - linking academia, business and industry through research

Title: Research on reliability assessment method for distributed distribution network power supply with self-healing performance

Authors: Yanfeng Ge; Xingying Cheng; Xusheng Zhang; Hua Jiang

Addresses: State Grid Liaoning Electric Power Co, Ltd., Yingkou Power Supply Company, Yingkou, Liaoning, China ' State Grid Liaoning Electric Power Co, Ltd., Yingkou Power Supply Company, Yingkou, Liaoning, China ' State Grid Liaoning Electric Power Co, Ltd., Yingkou Power Supply Company, Yingkou, Liaoning, China ' State Grid Liaoning Electric Power Co, Ltd., Yingkou Power Supply Company, Yingkou, Liaoning, China

Abstract: External environmental factors such as weather can cause changes in the failure rate of power supply components in distributed distribution networks, resulting in spatiotemporal correlation failures, affecting self-healing performance and reducing reliability. This article proposes a power supply reliability evaluation method for distributed distribution networks with self-healing performance. Firstly, a topology model of the distribution network is constructed using graph theory. The adjacency matrix and adjacency table are used to describe the node connection relationship, and topology shrinkage technology is combined to simplify the complex grid structure and remove redundant branch lines to improve computational efficiency. Secondly, a system of component reliability indicators, load point reliability indicators, system reliability indicators and electricity reliability indicators was constructed. Finally, the sequential Monte Carlo simulation method is used to simulate the fault process with self-healing actions through component state sampling, fault affected area division and load transfer analysis. Based on simplified topology and comprehensive index system, a comprehensive evaluation of the self-healing performance and reliability of distributed distribution networks is achieved.

Keywords: self-healing performance; distributed distribution network; reliability evaluation.

DOI: 10.1504/IJCAT.2026.153745

International Journal of Computer Applications in Technology, 2026 Vol.78 No.6, pp.40 - 56

Received: 19 Aug 2025
Accepted: 09 Dec 2025
Published online: 22 May 2026 *

Title: Research on reliability assessment method for distributed distribution network power supply with self-healing performance

Keep up-to-date