基于时序测量数据的配电网拓扑检测
Distribution Network Topology Detection with Time Series Measurement Data Analysis
AI总结：
本文提出利用时序测量数据检测配电网拓扑的新方法，通过比对实际状态转换签名与仿真拓扑库，验证IEEE 33节点模型的可行性。
摘要：
本文提出一种基于时序测量数据分析的配电网拓扑检测新方法。该方法利用高精度相量测量单元（PMUs或同步相量）的数据，通过分析动态系统的时间序列数据中开关动作等状态转换的特定模式，提取拓扑变化的特征签名。所提算法通过将最近状态转换的实际签名与由拓扑仿真生成的签名库进行比较，实现拓扑检测。IEEE 33节点模型用于初始算法验证。
英文摘要：
This paper proposes a novel approach for detecting the topology of distribution networks based on the analysis of time series measurements. The time-based analysis approach draws on data from high-precision phasor measurement units (PMUs or synchrophasors) for distribution systems. A key fact is that time-series data taken from a dynamic system show specific patterns regarding state transitions such as opening or closing switches, as a kind of signature from each topology change. The proposed algorithm here is based on the comparison of the actual signature of a recent state transition against a library of signatures derived from topology simulations. The IEEE 33-bus model is used for initial algorithm validation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
