In response, our research explores a synchrophasor analytics system for archipelagos, utilizing phasor measurement units to gather data from electric power signals, and leveraging cognitive computing tools to execute a combination of layered analytics to achieve fast and accurate islanding detection.

In addition, speed is not the sole determining factor of success, as detection methods must also be adequately sensitive to identify islanding events under a range of conditions, and stable against false identification during conditions similar to islanding. In order to win such a race, islanding detection methods must overcome significant technical challenges, including the accurate capture of massive streaming data, rapid signal processing, and the application of complex algorithmic functions. In turn, evolving international standards for the interconnection of renewable energy sources have effectively set the stage for a race to detect electrical islands as quickly as possible.

Detecting the unintentional formation of electrical islands is an important capability for operating power systems with increasingly large penetrations of renewable energy sources.

Pyrosim multiple grid sizes