Abstract

Load shedding is an essential part of Power Systems Operations that can stabilize the system in the case of unexpected events. However, load shedding should occur only when it is necessary. The goal of the study is to create a decision tree algorithm that decides when load shedding should occur on a bus using data from a Phasor Measurement Unit (PMU) while considering the priority of the load on a given bus. The algorithm was trained using Python’s sklearn module and was repeatedly trained until the algorithm was at least 95% accurate. The algorithm was then compared to a previous load shedding algorithm that shed load once the bus index reached a certain value regardless of the priority of the bus load. With a t-test, the researchers were able to determine that the proposed load shedding scheme outperformed the old load shedding scheme in most cases except for the three-phase fault where they performed equally well.

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