The controlled islanding for the power system is an effective method to deal with the emergent situations caused by large disturbances. The size of the solution space would increase exponentially as the scale of the p...The controlled islanding for the power system is an effective method to deal with the emergent situations caused by large disturbances. The size of the solution space would increase exponentially as the scale of the power grid increases. The goal of our controlled islanding strategy is to divide the system into several islands quickly. Meanwhile, the generator coherency and the power-flow disruption have to be taken into consideration carefully. This paper proposed a two-stage fast islanding strategy for large power networks, which is on the basis of large power grid graph theories. In the first stage, the Stoer-Wagner algorithm is employed to obtain the grouping cluster of coherent generators in the dynamic undirected liaison graph. In the second stage, the improved Dinic max-flow method is proposed to search the optimal splitting boundary so as to acquire the minimum power flow impact. Our two-stage islanding strategy does not need to reduce the whole power network. Simulations on IEEE 118-bus and162-bus power systems showed that the proposed strategy can acquire high quality solutions effectively and efficiently.展开更多
This paper deals with the formation control problem of multiple unmanned aerial vehicles(UAVs) with collision avoidance. A distributed formation control and collision avoidance method is proposed based on Voronoi part...This paper deals with the formation control problem of multiple unmanned aerial vehicles(UAVs) with collision avoidance. A distributed formation control and collision avoidance method is proposed based on Voronoi partition and conventional artificial potential field. The collision avoidance is achieved by partitioning the whole space into non-overlapping regions based on Voronoi partition theory, which is taken as the task region to confine the movement of each UAV. The general motion control law is designed based on the conventional artificial potential field. As this often leads to local optimum when two UAVs are going to collide with each other and they may stay still where the repulsive force is adversely equivalent to the attractive force. To address this problem,the destination switch scheme is further proposed to let UAVs switch destinations when they reach the local equilibrium. Finally,the effectiveness of proposed formation control algorithm is validated by simulations and experiments.展开更多
针对移动传感器网络(Mobile sensor networks,MSNs)中动态目标(事件源)的监测优化问题,为提高网络覆盖质量,建立基于Voronoi剖分的监测性能(Quality of monitoring,QoM)评价函数,提出基于群集控制的传感器节点部署分布式控制算法.每个...针对移动传感器网络(Mobile sensor networks,MSNs)中动态目标(事件源)的监测优化问题,为提高网络覆盖质量,建立基于Voronoi剖分的监测性能(Quality of monitoring,QoM)评价函数,提出基于群集控制的传感器节点部署分布式控制算法.每个节点在本地结合最小二乘法和一致性算法来估计目标相对位置.相比传统算法,本文算法只需本地和单跳通信(可观测)邻居的信息,从而减小通信时长和能耗.算法在提高以目标为中心的一定区域监测性能的同时,使全体传感器速度趋于一致,从而在尽量保持网络拓扑结构的同时减少了整体移动能耗.在目标匀速或目标加速度信息全网可知的情况下,全体传感器速度渐近收敛至目标速度,且监测性能收敛至局部最优.所采用的目标位置估计滤波算法计算简单、切实可行.展开更多
基金supported by National Natural Science Foundation of China(No.51507116)the Project of State Grid Corporation of China(Active Power Islanding Technology of Large Power Grid Based on Multi Source Information and Trajectory Trend Prediction)
文摘The controlled islanding for the power system is an effective method to deal with the emergent situations caused by large disturbances. The size of the solution space would increase exponentially as the scale of the power grid increases. The goal of our controlled islanding strategy is to divide the system into several islands quickly. Meanwhile, the generator coherency and the power-flow disruption have to be taken into consideration carefully. This paper proposed a two-stage fast islanding strategy for large power networks, which is on the basis of large power grid graph theories. In the first stage, the Stoer-Wagner algorithm is employed to obtain the grouping cluster of coherent generators in the dynamic undirected liaison graph. In the second stage, the improved Dinic max-flow method is proposed to search the optimal splitting boundary so as to acquire the minimum power flow impact. Our two-stage islanding strategy does not need to reduce the whole power network. Simulations on IEEE 118-bus and162-bus power systems showed that the proposed strategy can acquire high quality solutions effectively and efficiently.
基金supported by the National Natural Science Foundation of China(Grant Nos.61603303 and 61473230)the Natural Science Foundation of Shaanxi Province(Grant Nos.2017JM6027 and 2017JQ6005)+2 种基金the China Postdoctoral Science Foundation(Grant No.2017M610650)the Innovation Development Foundation of Aisheng(Grant No.ASN-IF2015-1502)the Fundamental Research Funds for the Central Universities(Grant No.3102017JG02011)
文摘This paper deals with the formation control problem of multiple unmanned aerial vehicles(UAVs) with collision avoidance. A distributed formation control and collision avoidance method is proposed based on Voronoi partition and conventional artificial potential field. The collision avoidance is achieved by partitioning the whole space into non-overlapping regions based on Voronoi partition theory, which is taken as the task region to confine the movement of each UAV. The general motion control law is designed based on the conventional artificial potential field. As this often leads to local optimum when two UAVs are going to collide with each other and they may stay still where the repulsive force is adversely equivalent to the attractive force. To address this problem,the destination switch scheme is further proposed to let UAVs switch destinations when they reach the local equilibrium. Finally,the effectiveness of proposed formation control algorithm is validated by simulations and experiments.
文摘针对移动传感器网络(Mobile sensor networks,MSNs)中动态目标(事件源)的监测优化问题,为提高网络覆盖质量,建立基于Voronoi剖分的监测性能(Quality of monitoring,QoM)评价函数,提出基于群集控制的传感器节点部署分布式控制算法.每个节点在本地结合最小二乘法和一致性算法来估计目标相对位置.相比传统算法,本文算法只需本地和单跳通信(可观测)邻居的信息,从而减小通信时长和能耗.算法在提高以目标为中心的一定区域监测性能的同时,使全体传感器速度趋于一致,从而在尽量保持网络拓扑结构的同时减少了整体移动能耗.在目标匀速或目标加速度信息全网可知的情况下,全体传感器速度渐近收敛至目标速度,且监测性能收敛至局部最优.所采用的目标位置估计滤波算法计算简单、切实可行.
