随着风电等新能源大规模接入,未来次同步振荡问题将更为突出,亟需建立新型次同步振荡监测系统。中国学者已针对次同步振荡监测装置——次同步相量监测装置(subsynchronous phasor measurement unit, SPMU)开展了相关研究。在此基础上,...随着风电等新能源大规模接入,未来次同步振荡问题将更为突出,亟需建立新型次同步振荡监测系统。中国学者已针对次同步振荡监测装置——次同步相量监测装置(subsynchronous phasor measurement unit, SPMU)开展了相关研究。在此基础上,如何经济高效地制定SPMU配置方案成为了构建次同步振荡监测系统的首要问题。基于风电机组频率耦合阻抗模型提出计及评价指标之间重要程度差异、振荡工况发生概率的监测关键度评价体系;考虑到SPMU实际安装配置中常存在多阶段安装的情况,建立计及节点监测关键度的SPMU多阶段优化配置模型;最后利用整数线性规划求解多阶段优化配置方案。采用美国得克萨斯州ERCOT系统、改进的New England 39节点系统,验证了所提指标及算法的准确性和经济性。展开更多
本文通过原位负载碳纤维布(CFC)法,以均苯四酸二酐(PMBA)与三聚氰胺(MA)为单体,制备了共价有机骨架材料-聚(三嗪-酰亚胺)@碳纤维布(PMBA-MA@CFC)。原位负载CFC的设计,可以将多孔结构材料的活性位点暴露在电解质中,从而有利于锂离子存储...本文通过原位负载碳纤维布(CFC)法,以均苯四酸二酐(PMBA)与三聚氰胺(MA)为单体,制备了共价有机骨架材料-聚(三嗪-酰亚胺)@碳纤维布(PMBA-MA@CFC)。原位负载CFC的设计,可以将多孔结构材料的活性位点暴露在电解质中,从而有利于锂离子存储。电化学测试结果表明,由PMBA-MA@CFC负极材料组装的锂离子电池,在0.1 A g^(-1)电流密度下,循环100圈后的比容量为575.65 mA g^(-1);在2 A g^(-1)电流密度下,循环1000圈后也能保持331.85 mA g^(-1)的比容量。展开更多
An increase in car ownership brings convenience to people’s life.However,it also leads to frequent traffic accidents.Precisely forecasting surrounding agents’future trajectories could effectively decrease vehicle-ve...An increase in car ownership brings convenience to people’s life.However,it also leads to frequent traffic accidents.Precisely forecasting surrounding agents’future trajectories could effectively decrease vehicle-vehicle and vehicle-pedestrian collisions.Long-short-term memory(LSTM)network is often used for vehicle trajectory prediction,but it has some shortages such as gradient explosion and low efficiency.A trajectory prediction method based on an improved Transformer network is proposed to forecast agents’future trajectories in a complex traffic environment.It realizes the transformation from sequential step processing of LSTM to parallel processing of Transformer based on attentionmechanism.To performtrajectory predictionmore efficiently,a probabilistic sparse self-attention mechanism is introduced to reduce attention complexity by reducing the number of queried values in the attention mechanism.Activate or not(ACON)activation function is adopted to select whether to activate or not,hence improving model flexibility.The proposed method is evaluated on the publicly available benchmarks nextgeneration simulation(NGSIM)and ETH/UCY.The experimental results indicate that the proposed method can accurately and efficiently predict agents’trajectories.展开更多
文摘随着风电等新能源大规模接入,未来次同步振荡问题将更为突出,亟需建立新型次同步振荡监测系统。中国学者已针对次同步振荡监测装置——次同步相量监测装置(subsynchronous phasor measurement unit, SPMU)开展了相关研究。在此基础上,如何经济高效地制定SPMU配置方案成为了构建次同步振荡监测系统的首要问题。基于风电机组频率耦合阻抗模型提出计及评价指标之间重要程度差异、振荡工况发生概率的监测关键度评价体系;考虑到SPMU实际安装配置中常存在多阶段安装的情况,建立计及节点监测关键度的SPMU多阶段优化配置模型;最后利用整数线性规划求解多阶段优化配置方案。采用美国得克萨斯州ERCOT系统、改进的New England 39节点系统,验证了所提指标及算法的准确性和经济性。
文摘本文通过原位负载碳纤维布(CFC)法,以均苯四酸二酐(PMBA)与三聚氰胺(MA)为单体,制备了共价有机骨架材料-聚(三嗪-酰亚胺)@碳纤维布(PMBA-MA@CFC)。原位负载CFC的设计,可以将多孔结构材料的活性位点暴露在电解质中,从而有利于锂离子存储。电化学测试结果表明,由PMBA-MA@CFC负极材料组装的锂离子电池,在0.1 A g^(-1)电流密度下,循环100圈后的比容量为575.65 mA g^(-1);在2 A g^(-1)电流密度下,循环1000圈后也能保持331.85 mA g^(-1)的比容量。
基金the SuzhouKey industrial technology innovation project SYG202031the Future Network Scientific Research Fund Project,FNSRFP-2021-YB-29.
文摘An increase in car ownership brings convenience to people’s life.However,it also leads to frequent traffic accidents.Precisely forecasting surrounding agents’future trajectories could effectively decrease vehicle-vehicle and vehicle-pedestrian collisions.Long-short-term memory(LSTM)network is often used for vehicle trajectory prediction,but it has some shortages such as gradient explosion and low efficiency.A trajectory prediction method based on an improved Transformer network is proposed to forecast agents’future trajectories in a complex traffic environment.It realizes the transformation from sequential step processing of LSTM to parallel processing of Transformer based on attentionmechanism.To performtrajectory predictionmore efficiently,a probabilistic sparse self-attention mechanism is introduced to reduce attention complexity by reducing the number of queried values in the attention mechanism.Activate or not(ACON)activation function is adopted to select whether to activate or not,hence improving model flexibility.The proposed method is evaluated on the publicly available benchmarks nextgeneration simulation(NGSIM)and ETH/UCY.The experimental results indicate that the proposed method can accurately and efficiently predict agents’trajectories.
