Prediction of Transient and Short-Term Voltage Stability Status by Model-Free Agent-Based Scheme

This article presents a distributed approach to predict transient and short-term voltage instability impending during post-fault interval. The proposed approach employs multiagent system and considers each generation bus as an intelligent agent, in order to predict stability status locally. Since transient and short-term voltage stability may exist solely or simultaneously, a universal model-free prediction method has been employed to distinguish between stable, critical stable, and unstable cases. The proposed prediction algorithm gives an early prediction of transient and short-term voltage instability by investigating four patterns on the trajectory of relative frequency deviation and inertia frequency response and simple negotiation between generation bus agents. In order to evaluate the performance of the proposed scheme, it has been tested on the IEEE 39-bus system, IEEE 118-bus system, and IEEE Nordic system, where the highest performances have been achieved.