为保障智能电力通信业务差异化的服务质量(Quality of service,QoS)要求,该文首先考虑了传输中断和紧急数据传输对业务造成的影响,并建立了基于认知无线电的QoS优先级模型。提出了一种基于QoS的智能电力通信业务差分调度机制。该机制通...为保障智能电力通信业务差异化的服务质量(Quality of service,QoS)要求,该文首先考虑了传输中断和紧急数据传输对业务造成的影响,并建立了基于认知无线电的QoS优先级模型。提出了一种基于QoS的智能电力通信业务差分调度机制。该机制通过引入神经网络以优化传输机制,从而使系统平均时延最小。仿真结果表明,该文提出的差分调度机制保障了高优先级次要用户的低传输时延,同时将紧急数据的传输时延也限制在了很低的范围内,保障了各类智能电力通信业务的QoS要求。展开更多
This paper presents engineering experiences from battery energy storage system(BESS)projects that require design and implementation of specialized power conversion systems(a fast-response,automatic power converter and...This paper presents engineering experiences from battery energy storage system(BESS)projects that require design and implementation of specialized power conversion systems(a fast-response,automatic power converter and controller).These projects concern areas of generation,transmission,and distribution of electric energy,as well as end-energy user benefits,such as grid frequency regulation,renewable energy smoothing and leveling,energy dispatching and arbitrage,power quality and reliability improvements for connected customers,islanding operations,and smart microgrid applications.In general,a grid level BESS project sends an interconnect request to utility power grids in the project development stage.Simulation models of equipment are then sent for a system impact study(e.g.,power flow and/or stability analysis),based on utility grid code requirements.The system study then determines the connection’s technical feasibility and impact of the project on the power grid.In this paper,a set of new BESS models is presented that are configured and parameterized for use in system impact studies as well as transmission planning studies.The models,which have been recently approved and released by the U.S.Western Electricity Coordinating Council(WECC),represent the steady state and dynamic performance of the BESS in several software platforms for power system studies based on operating project performance experience.Model benchmarking results as well as a real system case study are also included in the paper to show that the parameterized and tuned models respond correctly and as expected when system operating conditions change following contingency events.Finally,this paper provides useful guidelines in the use of new models to represent a BESS for power system analysis.展开更多
基金"948"Foundation of Ministry of Agriculture of China(2010-Z18)Jiangsu Key Technology Support Program(BE2014134)Jiangsu"Enterprise-Academics-Research"Foundation(BY2014128-04)
文摘为保障智能电力通信业务差异化的服务质量(Quality of service,QoS)要求,该文首先考虑了传输中断和紧急数据传输对业务造成的影响,并建立了基于认知无线电的QoS优先级模型。提出了一种基于QoS的智能电力通信业务差分调度机制。该机制通过引入神经网络以优化传输机制,从而使系统平均时延最小。仿真结果表明,该文提出的差分调度机制保障了高优先级次要用户的低传输时延,同时将紧急数据的传输时延也限制在了很低的范围内,保障了各类智能电力通信业务的QoS要求。
文摘This paper presents engineering experiences from battery energy storage system(BESS)projects that require design and implementation of specialized power conversion systems(a fast-response,automatic power converter and controller).These projects concern areas of generation,transmission,and distribution of electric energy,as well as end-energy user benefits,such as grid frequency regulation,renewable energy smoothing and leveling,energy dispatching and arbitrage,power quality and reliability improvements for connected customers,islanding operations,and smart microgrid applications.In general,a grid level BESS project sends an interconnect request to utility power grids in the project development stage.Simulation models of equipment are then sent for a system impact study(e.g.,power flow and/or stability analysis),based on utility grid code requirements.The system study then determines the connection’s technical feasibility and impact of the project on the power grid.In this paper,a set of new BESS models is presented that are configured and parameterized for use in system impact studies as well as transmission planning studies.The models,which have been recently approved and released by the U.S.Western Electricity Coordinating Council(WECC),represent the steady state and dynamic performance of the BESS in several software platforms for power system studies based on operating project performance experience.Model benchmarking results as well as a real system case study are also included in the paper to show that the parameterized and tuned models respond correctly and as expected when system operating conditions change following contingency events.Finally,this paper provides useful guidelines in the use of new models to represent a BESS for power system analysis.
