Fault Localization in Digital Power Distribution Networks Using a Chaotic Binary Particle Swarm Optimization–Enhanced Matrix Algorithm
As digital distribution networks grow in complexity, ensuring efficient fault localization has become critical for reliable power delivery. This paper introduces a novel fault localization method that synergistically combines a matrix algorithm with a chaotic binary particle swarm optimization (CBPS...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/jece/8839945 |
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| Summary: | As digital distribution networks grow in complexity, ensuring efficient fault localization has become critical for reliable power delivery. This paper introduces a novel fault localization method that synergistically combines a matrix algorithm with a chaotic binary particle swarm optimization (CBPSO) algorithm. The matrix algorithm initially identifies faulty network segments and verifies alarm data integrity using a causal correlation matrix. To address instances where alarm data distortion prevents accurate localization, the CBPSO algorithm is employed to refine fault identification, leveraging its chaotic mapping to enhance global search capabilities and prevent premature convergence. Simulation tests conducted on IEEE33 and IEEE123 node systems under various fault scenarios demonstrate the proposed method’s effectiveness. The results highlight a 100% fault localization accuracy, significant dimensionality reduction in the solution space, and faster computation compared to existing methods. This work contributes a robust and efficient solution for fault localization in digital distribution networks, advancing smart grid fault management technologies. |
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| ISSN: | 2090-0155 |