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A new stability assessment tool predicts power system instability through energy variations, highlighting its practical applications.
A newly developed stability assessment tool for a power system is proposed in this paper based on estimating the kinetic energy-time variations. It aims to introduce a practical alternative to the Equal Area Criterion (EAC) method that is valid for multi-swing cases. It utilizes the Generic Object Oriented Substation Event (GOOSE) packets launched due to angle variations during swing by the Intelligent Electronic Devices (IEDs) measuring the generator bus angle. The scheme maps the GOOSE packets to quantized energy levels. The detector IED receives the launched GOOSE from disturbed generators through the Wide Area Monitoring, Protection and Control (WAMPAC) System and evaluates the system stability accordingly. The areas under the positive energy intervals above the time axis determine the stability for the oscillatory swing. It has been proven that the area under positive energy levels is proportional to the number of GOOSE packets emitted during these intervals. For the fast monotonic swing, the quantized energy pattern shows quasi-stable intermediate energy levels between two high energy levels, where the scheme detects the transition to the second higher level as an indication of instability, with enough time in advance for corrective measures. The scheme is Phasor Measurement Unit (PMU)-independent, thus eliminating the burden and cost of synchronization requirements. The new scheme has been tested using the IEEE 39 Bus System. The results show the scheme’s capability to predict instability 87 ms prior to its occurrence, which is an adequate time for remedial action.
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Ehab et al. (2026) studied this question.
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