在大电网中实现潮流转移路径的在线搜索,对于实时掌握系统薄弱环节和预防大电网连锁故障跳闸具有重要意义。提出了基于波纹扩散机理的潮流转移路径快速搜索方法,该方法首先将网络预处理为以附加代价为边权的形式,然后依据波纹从中心源以恒定速度向外扩散并最先到达与中心源距离最短点的最优化原则,通过模拟波纹扩散过程搜索出受潮流转移影响较大的前K条最短路径集。IEEE 118节点和IEEE 300节点系统的仿真结果表明,该方法搜索结果准确无误,计算时间明显小于传统算法,且K值越大,该算法时间优越性越好,能够快速扫描复杂大电网中的多个潮流转移区域,在线监测大电网潮流转移状态。
It is significant for the real-time recognition of weak vulnerable spots in power grid and the prevention of trip outs due to cascading failures in large power grid to implement on-line searching of power flow transferring paths in large power grid. A ripple diffusing mechanism based fast searching method for power flow transferring paths is proposed. In the proposed method, firstly, the power network is pre-processed into such a network, in which the additional cost is taken as the edge weight; secondly, according to the principle of optimality that the ripple outwards diffuses from the center of the source with constant speed and first arrives at the point with the shortest distance to the center of the source, the top K shortest path set that is greatly impacted by power flow transferring is searched by simulating the process of ripple diffusing. Simulation results of IEEE-118 bus system and IEEE-300 bus system show that the searching results by the proposed method is accurate and the computing time is obviously shorter than by traditional algorithm, and the bigger the value of K the more efficient the proposed algorithm is. Using the proposed searching method, multi power flow transferring areas in complex large power grid can be fast scanned, thus the real-time monitoring of power flow transferring condition in large power grid can be implemented.