Voltage stability monitoring using sensitivities computed from synchronized phasor measurement data

Abstract

Abstract-Wide-area early warning systems are dependent on synchrophasor data-based applications for providing timely information to operators so that preventive actions can be taken. This article proposes the use of voltage sensitivities computed from syncrhophasor data for voltage stability monitoring, and a visualization approach that can be implemented in wide-area early warning systems. In order to provide reliable information, synchrophasor data must be pre-processed to extract only the useful features embedded in measurements and correct for errors. Hence, this article also addresses the issue of data filtering and correction, and proposes a filtering methodology for robust voltage sensitivity computation. The methodology is developed considering both positive-sequence simulations for methodology development purposes, and real phasor measurement data from a real-time (RT) hardware-in-the-loop (HIL) laboratory for testing the robustness of the developed approach for use in the control room. The results from both approaches are contrasted against each other, the limitations of the positive-sequence simulation approach for developing PMU-data applications are highlighted and the challenges of working with the RT HIL lab are recognized.

Real‐time spatio‐temporal trend and level (T&L) filtering scheme for early detection of voltage instability

“…However, the practical utility of online dQ/dV is during the time when significant and sustained reactive power and voltage trends are present in the measurements. Influence of measurement noise on online sensitivity calculation is handled in [17] using a moving average filtering technique. In this work, we show that due to superior noise-rejection capabilities of the piecewise-linear trend model, further improvement can be achieved.…”

“…Calculation of PV and QV sensitivities is another classical VSA methodology. Using an appropriate data-filtering technique, they can also be computed from PMU data directly, as demonstrated in [17].…”

A software development toolkit for real-time synchrophasor applications

“…In addition, WAMS performances and applications are continuously improving as a result of intensive ongoing research and development. A lot of research is being carried out to exploit synchrophasor in applications like power oscillation detection and damping [4] [5], voltage stability monitoring [6], power system protection [7] [8], etc.…”