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"Multiobjective Platooning of Connected and Automated Vehicles Using Di" by Jie Luo, Defeng He et al.

This paper considers the multi-objective platooning control problem of a group of connected and automated vehicles (CAVs) with bidirectional topologies. A new distributed economic model predictive control (DEMPC) algorithm is presented to reconcile the conflict of the control objectives of tracking, safety, stability and fuel economy of the heterogeneous vehicle platoon with guaranteed string stability. Using transient engine energy efficiency indices and cooperative performance of tracking and string stability, two distributed receding horizon optimal control problems are orderly formulated by a Lyapunov-based coupling constraint. Moreover, a new concept of ɣ -string stability is defined for the platoon with bidirectional topologies. Some distributed terminal conditions are then derived to guarantee the recursive feasibility and asymptotic stability of the DEMPC as well as ɣ -string stability of the platoon in the presence of constraints. Compared to traditional platooning control, ....

Asymptotic Stability , Distributed Control , Conomic Model Predictive Control , Ultiobjective Control , Stability Criteria , Tring Stability , Ehicle Platoon ,

"Study of Resistive Superconducting Fault Current Limiters for Stabilit" by Lei Chen, Jingguang Tang et al.

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 the R-SFCLs. Through MATLAB, a simulation model of three VSG-controlled MGs with R-SFCLs is built, and different fault scenarios are imitated for checking the performance behaviors of the R-SFCLs. From the simulation results, the R-SFCLs can visibly suppress the overcurrent inrush and assist the MGs in the clusters to fulfill the fault-ride through (FRT). Moreover, the energy dissipation of the R- ....

Energy Dissipation , Fault Ride Through , Mathematical Models , Ulti Mg Clusters , Ower Angle Stability , Power System Stability , Stability Criteria , Superconducting Fault Current Limiter , Ransient Analysis , Yttrium Barium Copper Oxide ,

"Improvement of Transient Stability of the Power Networks by an Intelli" by Muhammad Yousaf, Kashem M. Muttaqi et al.

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 due to serious safety concerns. The swift fault removal by the associated protective devices (PDs) will assist in ensuring the stable operation of the power grid after the fault clearance. If the fault is in the reclosing zones, the adaption of the proposed scheme will permit the reclosing at an appropriate instant to preserve the network stability against momentary faults. However, it will also e ....

Fault Location , Umerical Stability , Power Grids , Power System Stability , Stability Criteria , Ransient Analysis ,

"A Pareto optimal information flow topology for control of connected au" by Yan Yan, Haiping Du et al.

Information flow topology plays a crucial role in the control of connected autonomous vehicles. This paper proposes an approach to search for the Pareto optimal information flow topology off-line for the control of connected vehicles platoon using a non-dominated sorting genetic algorithm. Based on the obtained Pareto optimal information flow topology, the platoons overall performance in terms of three main performance indices: tracking index, acceleration standard deviation, and fuel consumption, are all improved. Numerical simulations are used to validate the effectiveness of the proposed approach. In the simulation, the impact of different information flow topologies on the performance of the connected autonomous vehicles platoon is firstly investigated. The results show that more communication links can lead to better tracking ability. The smoothness of the velocity profile is consistent with fuel economy, while velocity profiles smoothness, fuel economy and communication efficienc ....

Autonomous Vehicles , Iological System Modeling , Connected Autonomous Vehicles , Xternal Disturbance , Nformation Flow Topology , Network Topology , Sga Ii , Pareto Optimization , Stability Criteria , Vehicle Dynamics , Ehicular Platoon ,