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The Crowdsourced IoT Service (CIS) market is inherently different from other service markets, e.g., web services and cloud. The CIS market is dominated by transient services as both consumers and providers are dynamic in space and time. Consumer requests are usually long-term and demand continuity in service provision. We propose a novel egalitarian transient service composition framework from the CIS market perspective. We apply a Dynamic Bayesian Network to model the dynamic service provision behavior of the providers. The proposed framework transforms the composition of transient services i...

Multiple microgrid (multi-MG) clusters based on virtual synchronous generator (VSG) control can preferably incorporate renewable energies. Nevertheless, the power angle stability (PAS) of VSG-controlled multi-MG clusters is easy to be influenced by grid faults. In this paper, resistive superconducting fault current limiters (R-SFCLs) are introduced to deal with this PAS problem. It is designed to install the R-SFCLs at the point of common coupling (PCC) of each MG in the clusters. The transient stability mechanism based on power balance and swing equation is analyzed to clarify the impacts of ...

This research article presents an adaptive auto-reclosing scheme to preserve the network stability in post-fault scenarios for the power grids equipped with synchronous-based distributed generations (SBDGs). Based on the precise fault location information, the proposed adaptive reclosing strategy will classify all the fault events in either reclosing or block reclosing zones. Furthermore, the proposed intelligent auto-reclosing scheme will ensure safe and stable network operation by preventing hazardous futile reclosing attempts against persistent faults in forestry or densely populated areas ...

Abstract In this paper, we investigate the problem of trajectory tracking control for marine surface vehicles (MSVs), which is subject to dynamic uncertainties, external disturbances and unmeasurable velocities. To recover the unmeasurable velocities, a novel adaptive neural network (NN) state observer is constructed. To guarantee the transient and steady-state tracking performance, a novel nonlinear transformation method is proposed by employing a tracking error transformation together with a newly constructed performance function, which is featured by user-defined settling time and tracking...