为解决以电能路由器为基本节点的能源互联网中的能流预测问题,分析了居民用电、大型商业用电、小型商业用电、光伏出力四类能流的主要影响因素,利用时间序列中的ARIMA模型构建了不同性质的能流预测模型,在此基础上综合考虑不同性质的能...为解决以电能路由器为基本节点的能源互联网中的能流预测问题,分析了居民用电、大型商业用电、小型商业用电、光伏出力四类能流的主要影响因素,利用时间序列中的ARIMA模型构建了不同性质的能流预测模型,在此基础上综合考虑不同性质的能流和能源局域网的路由策略,进而构建了电能路由器能流预测模型。将该模型应用于New Hampshire Electric Co-op（NHEC）2013年3月的能流预测时,发现在路由策略下分布式电源充分条件下储能设备充裕时,对电能路由器能流EEF无影响;储能设备有限时,对EEF影响较大,EEF频繁波动;无储能设备时,对EEF影响较大,10：00~19：00时波动大;在分布式电源有限条件下,三种储能设备情况下,对电能路由器能流EEF均影响较大。展开更多
An evolution model of KAD Dynamic Model Network(KDMN) is proposed to study the reason of hot node and simulate the process of network evolution based on node behavior from a holistic perspective.First,some symbols and...An evolution model of KAD Dynamic Model Network(KDMN) is proposed to study the reason of hot node and simulate the process of network evolution based on node behavior from a holistic perspective.First,some symbols and meanings are introduced to describe nodes relationship and network states at a time step.Second,some evolution rules for network are formulated when node behaviors of join,exit,routing table update,data retrieval and content index distribution happen with different contextual scene in KAD network.In addition,a lightweight simulator is designed to implement the KDMN model.Moreover,an example of how to use the simulator to simulate the network changes in order to observe the result is described in detail.Finally,the KDMN is applied to analyze the reason for the formation of hot nodes in the BT and eMule network in the experiment.The different evolution principles of local priority,global priority and hybrid random are adopted based on the provision of network protocol of BT and eMule.The result of this experiment demonstrates that there are some hot nodes exist in the KAD network.However,the principle of hybrid random can effectively alleviate the phenomenon that a node is widely linked with others compared with global and local priority.展开更多
文摘为解决以电能路由器为基本节点的能源互联网中的能流预测问题,分析了居民用电、大型商业用电、小型商业用电、光伏出力四类能流的主要影响因素,利用时间序列中的ARIMA模型构建了不同性质的能流预测模型,在此基础上综合考虑不同性质的能流和能源局域网的路由策略,进而构建了电能路由器能流预测模型。将该模型应用于New Hampshire Electric Co-op（NHEC）2013年3月的能流预测时,发现在路由策略下分布式电源充分条件下储能设备充裕时,对电能路由器能流EEF无影响;储能设备有限时,对EEF影响较大,EEF频繁波动;无储能设备时,对EEF影响较大,10：00~19：00时波动大;在分布式电源有限条件下,三种储能设备情况下,对电能路由器能流EEF均影响较大。
文摘An evolution model of KAD Dynamic Model Network(KDMN) is proposed to study the reason of hot node and simulate the process of network evolution based on node behavior from a holistic perspective.First,some symbols and meanings are introduced to describe nodes relationship and network states at a time step.Second,some evolution rules for network are formulated when node behaviors of join,exit,routing table update,data retrieval and content index distribution happen with different contextual scene in KAD network.In addition,a lightweight simulator is designed to implement the KDMN model.Moreover,an example of how to use the simulator to simulate the network changes in order to observe the result is described in detail.Finally,the KDMN is applied to analyze the reason for the formation of hot nodes in the BT and eMule network in the experiment.The different evolution principles of local priority,global priority and hybrid random are adopted based on the provision of network protocol of BT and eMule.The result of this experiment demonstrates that there are some hot nodes exist in the KAD network.However,the principle of hybrid random can effectively alleviate the phenomenon that a node is widely linked with others compared with global and local priority.
