Power system resilience is defined as the ability of power grids to anticipate,withstand,adapt and recover from high-impact low-probability(HILP)events.There are both long-term and short-term measures that system oper...Power system resilience is defined as the ability of power grids to anticipate,withstand,adapt and recover from high-impact low-probability(HILP)events.There are both long-term and short-term measures that system operators can employ for resilience rein-forcement.Longer-term measures include infrastructure hardening and resilient planning,while short-term operational measures are applied in the pre-event,during-event and post-event phases.Microgrids(MGs)can effectively enhance resilience for both transmission and distribution systems,due to their ability to operate in a controlled,coordinated way,when connected to the main power grid and in islanded mode.In this paper,MG-based strategies for resilience enhancement are presented,including MG-based resilient planning and MG-based operational measures,consisting of preventive MG scheduling and emergency measures and MG-based system restoration.Classification of literature is made by considering whether the transmission system,distribution system or individual MG resilience is targeted.The way uncertainties are handled by various methods is also outlined.Finally,challenges and future research requirements for improving MG-based power system resilience are highlighted.展开更多
Resilient motion planning and control,without prior knowledge of disturbances,are crucial to ensure the safe and robust flight of quadrotors.The development of a motion planning and control architecture for quadrotors...Resilient motion planning and control,without prior knowledge of disturbances,are crucial to ensure the safe and robust flight of quadrotors.The development of a motion planning and control architecture for quadrotors,considering both internal and external disturbances(i.e.,motor damages and suspended payloads),is addressed.Firstly,the authors introduce the use of exponential functions to formulate trajectory planning.This choice is driven by its ability to predict thrust responses with minimal computational overhead.Additionally,a reachability analysis is incorporated for error dynamics resulting from multiple disturbances.This analysis sits at the interface between the planner and controller,contributing to the generation of more robust and safe spatial–temporal trajectories.Lastly,the authors employ a cascade controller,with the assistance of internal and external loop observers,to further enhance resilience and compensate the disturbances.The authors’benchmark experiments demonstrate the effectiveness of the proposed strategy in enhancing flight safety,particularly when confronted with motor damages and payload disturbances.展开更多
文摘Power system resilience is defined as the ability of power grids to anticipate,withstand,adapt and recover from high-impact low-probability(HILP)events.There are both long-term and short-term measures that system operators can employ for resilience rein-forcement.Longer-term measures include infrastructure hardening and resilient planning,while short-term operational measures are applied in the pre-event,during-event and post-event phases.Microgrids(MGs)can effectively enhance resilience for both transmission and distribution systems,due to their ability to operate in a controlled,coordinated way,when connected to the main power grid and in islanded mode.In this paper,MG-based strategies for resilience enhancement are presented,including MG-based resilient planning and MG-based operational measures,consisting of preventive MG scheduling and emergency measures and MG-based system restoration.Classification of literature is made by considering whether the transmission system,distribution system or individual MG resilience is targeted.The way uncertainties are handled by various methods is also outlined.Finally,challenges and future research requirements for improving MG-based power system resilience are highlighted.
基金National Natural Science Foundation of China,Grant/Award Numbers:62303412,62322314China Postdoctoral Science Foundation,Grant/Award Number:2022M722739Natural Science Foundation of Zhejiang Province,Grant/Award Number:2023YZ01。
文摘Resilient motion planning and control,without prior knowledge of disturbances,are crucial to ensure the safe and robust flight of quadrotors.The development of a motion planning and control architecture for quadrotors,considering both internal and external disturbances(i.e.,motor damages and suspended payloads),is addressed.Firstly,the authors introduce the use of exponential functions to formulate trajectory planning.This choice is driven by its ability to predict thrust responses with minimal computational overhead.Additionally,a reachability analysis is incorporated for error dynamics resulting from multiple disturbances.This analysis sits at the interface between the planner and controller,contributing to the generation of more robust and safe spatial–temporal trajectories.Lastly,the authors employ a cascade controller,with the assistance of internal and external loop observers,to further enhance resilience and compensate the disturbances.The authors’benchmark experiments demonstrate the effectiveness of the proposed strategy in enhancing flight safety,particularly when confronted with motor damages and payload disturbances.
