Dynamic joint outage identification and state estimation in power systems
Dynamic joint outage identification and state estimation in power systems
复制标题
电力系统动态联合停电识别和状态估计
DOI：
10.1109/acssc.2014.7094635
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
H. Poor
中科院分区：
文献类型：
--
作者：
Yue Zhao;Jianshu Chen;A. Goldsmith;H. Poor
研究了级联停电动态发展和网络状态动态演化的电力系统联合停电辨识与状态估计问题。提出了一种以封闭形式计算级联的联合后验和网络在每个时间步长的状态的递归算法。采用了一种束搜索技术来防止计算级联的数量呈指数增长。由于关节后验是联合识别级联和估计状态的充分统计量，所导出的封闭形式可用于开发任何性能准则下的最优动态关节检测器和估计器。我们模拟了IEEE 14总线和57总线系统中具有不确定网络状态的级联线路中断，并对所提出的算法在每个时间步动态识别中断和估计状态进行了评估。研究发现，在波束搜索中只保留少量的级联，就可以获得接近于保留全部级联的联合识别和估计性能。
Joint outage identification and state estimation is studied in power systems in which cascading outages dynamically develop and network states dynamically evolve. A recursive algorithm is developed that computes in closed form the joint posterior of cascades and network states at every time step. A beam search technique is employed that prevents the number of cascades to compute from growing exponentially. Because the joint posterior is a sufficient statistic for jointly identifying the cascades and estimating the states, the derived closed forms can be applied to develop the optimal dynamic joint detector and estimator under any performance criterion. We simulate cascading line outages with uncertain network states in the IEEE 14-bus and 57-bus systems, and the proposed algorithm is evaluated for dynamically identifying outages and estimating states at every time step. It is observed that retaining just a few cascades in the beam search can achieve a joint identification and estimation performance close to that with all cascades retained.