基于创新网络图的pmu面向过程状态估计

H. Bai, Zhizhong Guo, Lin Zhao, Yu Gao, He Chen
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引用次数: 1

摘要

基于pmu的WAMS的出现为改进传统的状态估计提供了契机,基于pmu的交流潮流模型创新(网络)图状态估计是一种新的有效的状态估计算法。利用它,利用一段时间内的所有测量值进行面向过程的状态估计,可以提供一个时间过程内的特征状态。为了开发新方法,根据拓扑变化将操作过程划分为几个过程和子过程。在每个过程或子过程中,推导出表征该过程或子过程平均状态的特征状态。为了计算期望状态,导出了期望创新网络图。以IEEE-5总线系统为例说明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Process-oriented State Estimation using Innovation Network Graph Based PMUs
The advent of PMU-based WAMS provides a chance to improve the traditional state estimation, AC load flow model innovation (network) graph state estimation based PMUs is a new but effective estimation algorithm. By using it, this paper carries out process-oriented state estimation using all the measurements within a period of time, which can provide characteristic states within a process of time. In order to develop the new method, the operating process is divided into several processes and sub-processes according to the topology change. In each process or sub-process, a characteristic state is derived which can represent the average status of this process or sub- process. In order to compute the expected states, an expected innovation network graph is derived. The IEEE-5 bus system is used to illustrate the effectiveness of the new method.
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