Detection of the start of frequency excursions in wide-area measurements

This paper addresses the on-line estimation of the start of frequency perturbation in power systems using dynamic data measured across distribution networks. These measurements are provided by Internet based real-time, GPS synchronized, wide-area frequency monitoring network (FNET) and PMU data in WECC. In this paper the collected data are evaluated with current statistical model and adaptive tracking algorithm to detect the frequency perturbation of the power system. The goal is to automatically extract from frequency measurement parameters such as the exact time that indicates the start of the downward or upward trend caused by a power imbalance event in the power grid. Typical frequency patterns of system disturbance events are analyzed for actual power system.