The load types in low-voltage distribution systems are diverse.Some loads have current signals that are similar to series fault arcs,making it difficult to effectively detect fault arcs during their occurrence and sus...The load types in low-voltage distribution systems are diverse.Some loads have current signals that are similar to series fault arcs,making it difficult to effectively detect fault arcs during their occurrence and sustained combustion,which can easily lead to serious electrical fire accidents.To address this issue,this paper establishes a fault arc prototype experimental platform,selects multiple commonly used loads for fault arc experiments,and collects data in both normal and fault states.By analyzing waveform characteristics and selecting fault discrimination feature indicators,corresponding feature values are extracted for qualitative analysis to explore changes in timefrequency characteristics of current before and after faults.Multiple features are then selected to form a multidimensional feature vector space to effectively reduce arc misjudgments and construct a fault discrimination feature database.Based on this,a fault arc hazard prediction model is built using random forests.The model’s multiple hyperparameters are simultaneously optimized through grid search,aiming tominimize node information entropy and complete model training,thereby enhancing model robustness and generalization ability.Through experimental verification,the proposed method accurately predicts and classifies fault arcs of different load types,with an average accuracy at least 1%higher than that of the commonly used fault predictionmethods compared in the paper.展开更多
【ARC清洁技术公司网站2023年3月28日报道】ARC清洁技术加拿大公司(ARC Clean Technology)与阿尔伯塔投资公司(Invest Alberta Corporation)近日签署谅解备忘录,未来将共同推进模块化小堆ARC-100在阿尔伯塔省的部署。根据该备忘录,ARC...【ARC清洁技术公司网站2023年3月28日报道】ARC清洁技术加拿大公司(ARC Clean Technology)与阿尔伯塔投资公司(Invest Alberta Corporation)近日签署谅解备忘录,未来将共同推进模块化小堆ARC-100在阿尔伯塔省的部署。根据该备忘录,ARC清洁技术公司将扩大其在阿省的业务,在阿省投资公司的支持下,建设一批ARC-100小堆,并开展供应链建设。展开更多
基金This work was funded by Beijing Key Laboratory of Distribution Transformer Energy-Saving Technology(China Electric Power Research Institute).
文摘The load types in low-voltage distribution systems are diverse.Some loads have current signals that are similar to series fault arcs,making it difficult to effectively detect fault arcs during their occurrence and sustained combustion,which can easily lead to serious electrical fire accidents.To address this issue,this paper establishes a fault arc prototype experimental platform,selects multiple commonly used loads for fault arc experiments,and collects data in both normal and fault states.By analyzing waveform characteristics and selecting fault discrimination feature indicators,corresponding feature values are extracted for qualitative analysis to explore changes in timefrequency characteristics of current before and after faults.Multiple features are then selected to form a multidimensional feature vector space to effectively reduce arc misjudgments and construct a fault discrimination feature database.Based on this,a fault arc hazard prediction model is built using random forests.The model’s multiple hyperparameters are simultaneously optimized through grid search,aiming tominimize node information entropy and complete model training,thereby enhancing model robustness and generalization ability.Through experimental verification,the proposed method accurately predicts and classifies fault arcs of different load types,with an average accuracy at least 1%higher than that of the commonly used fault predictionmethods compared in the paper.
文摘【ARC清洁技术公司网站2023年3月28日报道】ARC清洁技术加拿大公司(ARC Clean Technology)与阿尔伯塔投资公司(Invest Alberta Corporation)近日签署谅解备忘录,未来将共同推进模块化小堆ARC-100在阿尔伯塔省的部署。根据该备忘录,ARC清洁技术公司将扩大其在阿省的业务,在阿省投资公司的支持下,建设一批ARC-100小堆,并开展供应链建设。
