Confronted with the requirement of higher efficiency and higher quality of distribution network fault rush-repair, the subject addressed in this paper is the optimal resource dispatching issue of the distribution netw...Confronted with the requirement of higher efficiency and higher quality of distribution network fault rush-repair, the subject addressed in this paper is the optimal resource dispatching issue of the distribution network rush-repair when single resource center cannot meet the emergent resource demands. A multi-resource and multi-center dispatching model is established with the objective of “the shortest repair start-time” and “the least number of the repair centers”. The optimal and worst solutions of each objective are both obtained, and a “proximity degree method” is used to calculate the optimal resource dispatching plan. The feasibility of the proposed algorithm is illustrated by an example of a distribution network fault. The proposed method provides a practical technique for efficiency improvement of fault rush-repair work of distribution network, and thus mostly abbreviates power recovery time and improves the management level of the distribution network.展开更多
针对现有配电网鲁棒调度方法缺乏对不确定参数相关性问题的考虑,提出了一种基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法。首先,构建分布式光伏出力的传统多面体集合,利用历史数据驱动形成了相关性包络图,通过弯曲多面体集合...针对现有配电网鲁棒调度方法缺乏对不确定参数相关性问题的考虑,提出了一种基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法。首先,构建分布式光伏出力的传统多面体集合,利用历史数据驱动形成了相关性包络图,通过弯曲多面体集合边界,建立了相关性多面体集合模型。然后,在此基础上,针对相关性多面体集合存在鲁棒性差和保守性大的问题,建立了数据驱动的多面体集合模型。进一步,建立了基于数据驱动多面体集合的交直流混合配电网鲁棒调度模型,并采用列与约束生成(column and constraint generation,CCG)算法对鲁棒调度模型进行求解。最后,改进的IEEE33节点系统仿真结果表明,基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法可以减少优化结果的保守性,提高其鲁棒性,证明了所提出方法的有效性。展开更多
Mobile platform develops rapidly in recent years, with its performance and capacity increasing. A large number of virtual reality applications such as 3D simulation and visualization have appeared on mobile platform. ...Mobile platform develops rapidly in recent years, with its performance and capacity increasing. A large number of virtual reality applications such as 3D simulation and visualization have appeared on mobile platform. However, due to restrictions, such as the lack of computing resources and the limited network bandwidth, the virtual reality systems on mobile platform could not have comparable performance as their peers on desktop platform. Taking resource restrictions into consideration, trade-offs have been made regarding the display of virtual reality systems. We propose a unified network scheduling strategy based on asynchronous multi-thread, database cache, prioritization and elimination of overdue requests. This strategy has been tested on the prototype system of virtual reality system on Android. The results demonstrate higher network resource utilization and better user experience.展开更多
针对新能源出力的强随机性、间歇性影响配电网功率平衡问题,提出了一种融合多步贪婪策略改进的深度双Q网络(double deep Q network,DDQN)算法和一致性算法的双层功率分配策略,该方法在源荷波动情况下可自适应调整配电网各机组出力,保证...针对新能源出力的强随机性、间歇性影响配电网功率平衡问题,提出了一种融合多步贪婪策略改进的深度双Q网络(double deep Q network,DDQN)算法和一致性算法的双层功率分配策略,该方法在源荷波动情况下可自适应调整配电网各机组出力,保证功率调节的快速性和经济性。首先,基于“资源集群”的划分提出了分层分布式功率分配框架,将智能配电网功率分配问题分解为协调调度层和自治层功率优化分配模型进行求解。然后,协调调度层采用多步贪婪策略改进的DDQN算法来实现“资源集群”间的功率分配,自治层提出以成本微增量为一致性状态变量的功率动态分配方法。最后,典型智能配电网算例仿真结果表明,所提的双层功率分配策略能够在新能源波动情况下解决功率的优化分配问题;与多种方法相比,所提方法具有较快的收敛速度和较低的调节成本。展开更多
文摘Confronted with the requirement of higher efficiency and higher quality of distribution network fault rush-repair, the subject addressed in this paper is the optimal resource dispatching issue of the distribution network rush-repair when single resource center cannot meet the emergent resource demands. A multi-resource and multi-center dispatching model is established with the objective of “the shortest repair start-time” and “the least number of the repair centers”. The optimal and worst solutions of each objective are both obtained, and a “proximity degree method” is used to calculate the optimal resource dispatching plan. The feasibility of the proposed algorithm is illustrated by an example of a distribution network fault. The proposed method provides a practical technique for efficiency improvement of fault rush-repair work of distribution network, and thus mostly abbreviates power recovery time and improves the management level of the distribution network.
文摘针对现有配电网鲁棒调度方法缺乏对不确定参数相关性问题的考虑,提出了一种基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法。首先,构建分布式光伏出力的传统多面体集合,利用历史数据驱动形成了相关性包络图,通过弯曲多面体集合边界,建立了相关性多面体集合模型。然后,在此基础上,针对相关性多面体集合存在鲁棒性差和保守性大的问题,建立了数据驱动的多面体集合模型。进一步,建立了基于数据驱动多面体集合的交直流混合配电网鲁棒调度模型,并采用列与约束生成(column and constraint generation,CCG)算法对鲁棒调度模型进行求解。最后,改进的IEEE33节点系统仿真结果表明,基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法可以减少优化结果的保守性,提高其鲁棒性,证明了所提出方法的有效性。
基金Supported by National Natural Science Foundation of China(Nos.61472010 and 61421062)National Key Technology Support Program(No.2013BAK03B07)+2 种基金National Key Technology R&D Program(2015BAK01B06)Shenzhen Gov Projects(JCYJ20130331144416448)Public Science and Technology Research Funds Projects of Ocean(201505014-3)
文摘Mobile platform develops rapidly in recent years, with its performance and capacity increasing. A large number of virtual reality applications such as 3D simulation and visualization have appeared on mobile platform. However, due to restrictions, such as the lack of computing resources and the limited network bandwidth, the virtual reality systems on mobile platform could not have comparable performance as their peers on desktop platform. Taking resource restrictions into consideration, trade-offs have been made regarding the display of virtual reality systems. We propose a unified network scheduling strategy based on asynchronous multi-thread, database cache, prioritization and elimination of overdue requests. This strategy has been tested on the prototype system of virtual reality system on Android. The results demonstrate higher network resource utilization and better user experience.
文摘针对新能源出力的强随机性、间歇性影响配电网功率平衡问题,提出了一种融合多步贪婪策略改进的深度双Q网络(double deep Q network,DDQN)算法和一致性算法的双层功率分配策略,该方法在源荷波动情况下可自适应调整配电网各机组出力,保证功率调节的快速性和经济性。首先,基于“资源集群”的划分提出了分层分布式功率分配框架,将智能配电网功率分配问题分解为协调调度层和自治层功率优化分配模型进行求解。然后,协调调度层采用多步贪婪策略改进的DDQN算法来实现“资源集群”间的功率分配,自治层提出以成本微增量为一致性状态变量的功率动态分配方法。最后,典型智能配电网算例仿真结果表明,所提的双层功率分配策略能够在新能源波动情况下解决功率的优化分配问题;与多种方法相比,所提方法具有较快的收敛速度和较低的调节成本。
