Wei Gao

TL;DR: A novel distributed dynamic event-triggered Newton-Raphson algorithm is proposed to solve the double-mode energy management problem in a fully distributed fashion and it is proved that each participant can asymptotically converge to the global optimal point.

TL;DR: It is proved that the proposed distributed double-Newton descent (DDND) algorithm can asymptotically converge to the global optimal point and the correctness of the DDND algorithm can be guaranteed in theory.

TL;DR: A decentralized deep policy gradient algorithm, which features model-free and faster convergence, is developed and employed to find the optimal control policy for virtual synchronous generator and simulation results validate the feasibility and effectiveness of the proposed methodology.

TL;DR: A synchronverters with multiple virtual rotating masses is proposed in order to improve the active power tracking performance as well as to boost inertial control of the synchronverter.

TL;DR: A novel simulation approach to evaluate new ancillary service controls in the context of large-scale wind power integration and results indicate that the inertial controls tend to reduce the out-of-plane mechanical loadings in region 2, while such loadings are dominated by the pitch actions in region 3.