Measurement‐based correlation approach for power system dynamic response estimation

Abstract

Understanding power system dynamics is essential for online stability assessment and control applications. Global positioning system-synchronised phasor measurement units and frequency disturbance recorders (FDRs) make power system dynamics visible and deliver an accurate picture of the overall operation condition to system operators. However, in the actual field implementations, some measurement data can be inaccessible for various reasons, for example, most notably failure of communication. In this study, a measurement-based approach is proposed to estimate the missing power system dynamics. Specifically, a correlation coefficient index is proposed to describe the correlation relationship between different measurements. Then, the auto-regressive with exogenous input identification model is employed to estimate the missing system dynamic response. The US Eastern Interconnection is utilised in this study as a case study. The robustness of the correlation approach is verified by a wide variety of case studies as well. Finally, the proposed correlation approach is applied to the real FDR data for power system dynamic response estimation. The results indicate that the correlation approach could help select better input locations and thus improve the response estimation accuracy.

Inter‐area oscillation statistical analysis of the U.S. Eastern interconnection

“…FNET/GridEye is a pilot wide‐area frequency monitoring system with high accuracy (±0.005° phase angle accuracy), which is implemented at the distribution level of power grids [11, 31]. To collect GPS‐synchronised PU, a large number of easily installed low‐cost frequency disturbance recorders (FDRs) are connected to the single‐phase 120 V electrical outlets at different locations.…”

Wide-Area-Measurement System Development at the Distribution Level: An FNET/GridEye Example

“…On the other hand, circuit-based power system models always have limitations of the amount of detail that can be completely and accurately included. Taking advantage of the real-time wide-area measurements, one of phasor measurements' novel applications is to develop data-driven models that can be updated online to estimate or predict system responses [28]- [30]. Fig.13.…”

A measurement-based approach for power system instability early warning

“…Two categories of measurement-based models can be used for system identification: state-space model [13][14][15][16][17], and transfer function model [18][19][20][21]. The statespace representation is concerned not only with input and output properties of the system but also with its complete internal behavior [22].…”