The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and diversity.Among th...The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and diversity.Among the pivotal applications within the realm of IoT,as a significant example,the Smart Grid(SG)evolves into intricate networks of energy deployment marked by data integration.This evolution concurrently entails data interchange with other IoT entities.However,there are also several challenges including data-sharing overheads and the intricate establishment of trusted centers in the IoT ecosystem.In this paper,we introduce a hierarchical secure data-sharing platform empowered by cloud-fog integration.Furthermore,we propose a novel non-interactive zero-knowledge proof-based group authentication and key agreement protocol that supports one-to-many sharing sets of IoT data,especially SG data.The security formal verification tool shows that the proposed scheme can achieve mutual authentication and secure data sharing while protecting the privacy of data providers.Compared with previous IoT data sharing schemes,the proposed scheme has advantages in both computational and transmission efficiency,and has more superiority with the increasing volume of shared data or increasing number of participants.展开更多
This paper presents a thermal management framework for 120 kV hybrid commutated converter(HCC)valves,addressing critical cooling challenges in multi-hundred-MW power conversion systems.Power loss calculations under ra...This paper presents a thermal management framework for 120 kV hybrid commutated converter(HCC)valves,addressing critical cooling challenges in multi-hundred-MW power conversion systems.Power loss calculations under rated(1.0 p.u.)and overload(1.2 p.u.)conditions demonstrate that HCC valves achieve comparable loss levels to line commutated converter counterparts while enabling active turn-off control.Comparative analysis of radiator configurations identifies 2-parallel branch connections as optimal.Integrated thermal-fluid models combining 3D finite element analysis and computational fluid dynamics reveal significant temperature gradients and flow maldistribution in baseline designs.On this basis,this paper modifies the flow from equal flow resistance allocation to heat-based allocation and it reduces maximum integrated gate-commutated thyristor temperature rise by 7.3%at 1.2 p.u.with minimal pressure drop variation.Experimental validation confirms the proposed cooling strategy enhances valve safety margins through improved heat dissipation balance,providing a validated theoretical foundation for high-power converter thermal design.展开更多
基金supported by the National Key R&D Program of China(No.2022YFB3103400)the National Natural Science Foundation of China under Grants 61932015 and 62172317.
文摘The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and diversity.Among the pivotal applications within the realm of IoT,as a significant example,the Smart Grid(SG)evolves into intricate networks of energy deployment marked by data integration.This evolution concurrently entails data interchange with other IoT entities.However,there are also several challenges including data-sharing overheads and the intricate establishment of trusted centers in the IoT ecosystem.In this paper,we introduce a hierarchical secure data-sharing platform empowered by cloud-fog integration.Furthermore,we propose a novel non-interactive zero-knowledge proof-based group authentication and key agreement protocol that supports one-to-many sharing sets of IoT data,especially SG data.The security formal verification tool shows that the proposed scheme can achieve mutual authentication and secure data sharing while protecting the privacy of data providers.Compared with previous IoT data sharing schemes,the proposed scheme has advantages in both computational and transmission efficiency,and has more superiority with the increasing volume of shared data or increasing number of participants.
基金National Key Research and Development Program,Grant/Award Number:2023YFB2405900。
文摘This paper presents a thermal management framework for 120 kV hybrid commutated converter(HCC)valves,addressing critical cooling challenges in multi-hundred-MW power conversion systems.Power loss calculations under rated(1.0 p.u.)and overload(1.2 p.u.)conditions demonstrate that HCC valves achieve comparable loss levels to line commutated converter counterparts while enabling active turn-off control.Comparative analysis of radiator configurations identifies 2-parallel branch connections as optimal.Integrated thermal-fluid models combining 3D finite element analysis and computational fluid dynamics reveal significant temperature gradients and flow maldistribution in baseline designs.On this basis,this paper modifies the flow from equal flow resistance allocation to heat-based allocation and it reduces maximum integrated gate-commutated thyristor temperature rise by 7.3%at 1.2 p.u.with minimal pressure drop variation.Experimental validation confirms the proposed cooling strategy enhances valve safety margins through improved heat dissipation balance,providing a validated theoretical foundation for high-power converter thermal design.
