LAUSR

Abstract Stability control is a central issue in power grid as diverse as runtime monitoring, contingency response and regulation. A typical stability problem of non-linear networks such as smart grid, is that noise on one vertex has influence on other vertex, possibly driving the whole system to exhibit unexpected behavior or even fail. In order to attack this noise-induced stability problem and maintain the frequency coherence, this paper presents the maximum basin stability principle for practical systems to strength the synchronization stability of the power grid. As a concrete method to realize the maximum basin stability principle, the optimal least action control algorithm is employed to obtain optimal parameters, which can bring the system to an expected target state even when this state is not accessible directly because of bounds that limit the allowed interventions. Experimental results show that this framework allows re-steering a network to an expected state, as well as saving networks from the edge of synchronization corruption.