As part of the ongoing information revolution,smart power grid technology has become a key focus area for research into power systems.Intelligent electrical appliances are now an important component of power systems,p...As part of the ongoing information revolution,smart power grid technology has become a key focus area for research into power systems.Intelligent electrical appliances are now an important component of power systems,providing a smart power grid with increased control,stability,and safety.Based on the secure communication requirements of cloud energy storage systems,this paper presents the design and development of a node controller for a cloud energy storage network.The function division and system deployment processes were carried out to ensure the security of the communication network used for the cloud energy storage system.Safety protection measures were proposed according to the demands of the communication network,allowing the system to run safely and stably.Finally,the effectiveness of the system was verified through a client-side distributed energy storage demonstration project in Suzhou,China.The system was observed to operate safely and stably,demonstrating good peak-clipping and valley filling effects,and improving the system load characteristics.展开更多
随着现代通信和信息技术的飞速发展,智能交通系统(Intelligent Transportation System,ITS)逐渐成为热门研究领域,车载自组网(Vehicular Ad Hoc Network,VANET)作为其关键技术,在实时道路信息共享和车辆间通信中起重要作用.然而,现有VA...随着现代通信和信息技术的飞速发展,智能交通系统(Intelligent Transportation System,ITS)逐渐成为热门研究领域,车载自组网(Vehicular Ad Hoc Network,VANET)作为其关键技术,在实时道路信息共享和车辆间通信中起重要作用.然而,现有VANET分簇算法仍存在簇稳定性低、分簇开销大等问题.为解决这些问题,本文提出了一种端云协同的VANET分簇算法,在端云协同阶段,车辆通过路边单元(Road Side Unit,RSU)将自身特征数据上传至云,云侧根据特征变化,对车辆进行动态稳定性分类.稳定的端节点具有更高的可靠性和更长的连接持续时间.在端端协同阶段,考虑了稳定节点的相对移动性和覆盖节点数量等因素,进行簇头选举,简化簇头选举过程,提高了簇的稳定性.此外,针对控制开销大的问题,本文提出了一种邻居发现和更新机制,限制HELLO消息的转发操作,降低开销并优化资源使用.实验结果表明:本文提出的算法在簇稳定性、簇数量及分簇开销等关键性能指标上均优于基线算法,展示了其在实际交通场景中的应用潜力.展开更多
针对NoC(Network on Chip)中资源节点测试难题,提出了一种结合云进化算法来优化并行测试的方法。该方法结合NoC Mesh结构特点,采用NoC重用的测试访问机制和XY路由方式,在系统功耗限制条件下,运用云进化算法对不同节点进行组合优化,快速...针对NoC(Network on Chip)中资源节点测试难题,提出了一种结合云进化算法来优化并行测试的方法。该方法结合NoC Mesh结构特点,采用NoC重用的测试访问机制和XY路由方式,在系统功耗限制条件下,运用云进化算法对不同节点进行组合优化,快速收敛到最佳测试节点序列,达到缩短测试时间的目的。针对大规模的NoC采用划分测试方法,以进一步缩短测试时间。不同规模NoC试验的结果表明,与进化算法相比,云进化算法在测试时间上分别有14.3%及19.6%的优化率,可有效提高测试效率。展开更多
基金supported by the Technical Project of the State Grid Corporation of China(research and demonstration application of key technology of energy storage cloud for mobile energy storage application of electric vehicles 5419-201971217a-0-0-00)。
文摘As part of the ongoing information revolution,smart power grid technology has become a key focus area for research into power systems.Intelligent electrical appliances are now an important component of power systems,providing a smart power grid with increased control,stability,and safety.Based on the secure communication requirements of cloud energy storage systems,this paper presents the design and development of a node controller for a cloud energy storage network.The function division and system deployment processes were carried out to ensure the security of the communication network used for the cloud energy storage system.Safety protection measures were proposed according to the demands of the communication network,allowing the system to run safely and stably.Finally,the effectiveness of the system was verified through a client-side distributed energy storage demonstration project in Suzhou,China.The system was observed to operate safely and stably,demonstrating good peak-clipping and valley filling effects,and improving the system load characteristics.
文摘随着现代通信和信息技术的飞速发展,智能交通系统(Intelligent Transportation System,ITS)逐渐成为热门研究领域,车载自组网(Vehicular Ad Hoc Network,VANET)作为其关键技术,在实时道路信息共享和车辆间通信中起重要作用.然而,现有VANET分簇算法仍存在簇稳定性低、分簇开销大等问题.为解决这些问题,本文提出了一种端云协同的VANET分簇算法,在端云协同阶段,车辆通过路边单元(Road Side Unit,RSU)将自身特征数据上传至云,云侧根据特征变化,对车辆进行动态稳定性分类.稳定的端节点具有更高的可靠性和更长的连接持续时间.在端端协同阶段,考虑了稳定节点的相对移动性和覆盖节点数量等因素,进行簇头选举,简化簇头选举过程,提高了簇的稳定性.此外,针对控制开销大的问题,本文提出了一种邻居发现和更新机制,限制HELLO消息的转发操作,降低开销并优化资源使用.实验结果表明:本文提出的算法在簇稳定性、簇数量及分簇开销等关键性能指标上均优于基线算法,展示了其在实际交通场景中的应用潜力.
文摘针对NoC(Network on Chip)中资源节点测试难题,提出了一种结合云进化算法来优化并行测试的方法。该方法结合NoC Mesh结构特点,采用NoC重用的测试访问机制和XY路由方式,在系统功耗限制条件下,运用云进化算法对不同节点进行组合优化,快速收敛到最佳测试节点序列,达到缩短测试时间的目的。针对大规模的NoC采用划分测试方法,以进一步缩短测试时间。不同规模NoC试验的结果表明,与进化算法相比,云进化算法在测试时间上分别有14.3%及19.6%的优化率,可有效提高测试效率。
