Fault Location of Distribution Network Based on Back Propagation Neural Network Optimization Algorithm
نویسندگان
چکیده
Research on fault diagnosis and positioning of the distribution network (DN) has always been an important research direction related to power supply safety performance. The back propagation neural (BPNN) is a commonly used intelligent algorithm for location in DN. To improve accuracy dual DN, this study optimizes BPNN by combining genetic (GA) cloud theory. two types before after optimization are single respectively. experimental results show that optimized certain effectiveness stability. requires 25.65 ms runtime 365 simulation steps. And faults, exhibits higher rate, with 89%. In comparison ROC curves, larger area under curve its smoother. confirm high efficiency accuracy.
منابع مشابه
fault location in power distribution networks using matching algorithm
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ژورنال
عنوان ژورنال: Processes
سال: 2023
ISSN: ['2227-9717']
DOI: https://doi.org/10.3390/pr11071947