Abstract
With increasing availability of synchrophasor technology, enabled by phasor measurement units (PMUs), applications based on this technology are being implemented as a practical approach for power systems monitoring and control. While synchrophasor data provides significant advantages over SCADA data it has limitations especially in the area of model validation and estimation. With the increasing complexity of the power system, the need for equipment monitoring and performance evaluation becomes more relevant. Traditionally model validation and estimation process can be used to look at control equipment performance. However, due to the challenges associated with these processes there are limitations on the performance evaluation. This work expands a previously introduced algorithm to monitor control system performance to allow the algorithm to work under power system ambient and disturbance conditions. Additionally the algorithm is demonstrated on data obtained from the interconnection point of a STATCOM device during ambient and disturbance operation.
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