文章介绍了基于智能手机开发移动学习课件的总体结构与设计思路,阐述了课件的开发流程及关键技术,并在Windows Mobile智能手机操作系统上,以"数据库"课程为例,开发完成了"数据库移动实验室"学习课件。课件开发平台...文章介绍了基于智能手机开发移动学习课件的总体结构与设计思路,阐述了课件的开发流程及关键技术,并在Windows Mobile智能手机操作系统上,以"数据库"课程为例,开发完成了"数据库移动实验室"学习课件。课件开发平台采用Visual Studio 2005,选用C#为开发语言,课件是内存类业务,学生的智能手机只要配置64M存储卡即可,不产生通信费用,随时可以在自己的智能手机上通过课件进行学习。展开更多
An optimal sizing method is proposed in this paper for mobile battery energy storage system(MBESS)in the distribution system with renewables.The optimization is formulated as a bi-objective problem,considering the rel...An optimal sizing method is proposed in this paper for mobile battery energy storage system(MBESS)in the distribution system with renewables.The optimization is formulated as a bi-objective problem,considering the reliability improvement and energy transaction saving,simultaneously.To evaluate the reliability of distribution system with MBESS and intermittent generation sources,a new framework is proposed,which is based on zone partition and identification of circuit minimal tie sets.Both analytic and simulation methods for reliability assessment are presented and compared in the framework.Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.展开更多
The vehicle-to-grid(V2G)technology enables the bidirectional power flow between electric vehicle(EV)batteries and the power grid,making EV-based mobile energy storage an appealing supplement to stationary energy stora...The vehicle-to-grid(V2G)technology enables the bidirectional power flow between electric vehicle(EV)batteries and the power grid,making EV-based mobile energy storage an appealing supplement to stationary energy storage systems.However,the stochastic and volatile charging behaviors pose a challenge for EV fleets to engage directly in multi-agent cooperation.To unlock the scheduling potential of EVs,this paper proposes a source-load-storage cooperative low-carbon scheduling strategy considering V2G aggregators.The uncertainty of EV charging patterns is managed through a rolling-horizon control framework,where the scheduling and control horizons are adaptively adjusted according to the availability periods of EVs.Moreover,a Minkowski-sum based aggregation method is employed to evaluate the scheduling potential of aggregated EV fleets within a given scheduling horizon.This method effectively reduces the variable dimension while preserving the charging and discharging constraints of individual EVs.Subsequently,a Nash bargaining based cooperative scheduling model involving a distribution system operator(DSO),an EV aggregator(EVA),and a load aggregator(LA)is established to maximize the social welfare and improve the low-carbon performance of the system.This model is solved by the alternating direction method of multipliers(ADMM)algorithm in a distributed manner,with privacy of participants fully preserved.The proposed strategy is proven to achieve the objective of low-carbon economic operation.展开更多
文摘文章介绍了基于智能手机开发移动学习课件的总体结构与设计思路,阐述了课件的开发流程及关键技术,并在Windows Mobile智能手机操作系统上,以"数据库"课程为例,开发完成了"数据库移动实验室"学习课件。课件开发平台采用Visual Studio 2005,选用C#为开发语言,课件是内存类业务,学生的智能手机只要配置64M存储卡即可,不产生通信费用,随时可以在自己的智能手机上通过课件进行学习。
基金This work was supported by the National Natural Science Foundation of China(Young Scholar Program 71401017,General Program 51277016)State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(Grant No.LAPS14002)+1 种基金Fujian regional science and technology major projects,China(2013H41010151)Hong Kong RGC Theme Based Research Scheme Grant No.T23-407/13-N.
文摘An optimal sizing method is proposed in this paper for mobile battery energy storage system(MBESS)in the distribution system with renewables.The optimization is formulated as a bi-objective problem,considering the reliability improvement and energy transaction saving,simultaneously.To evaluate the reliability of distribution system with MBESS and intermittent generation sources,a new framework is proposed,which is based on zone partition and identification of circuit minimal tie sets.Both analytic and simulation methods for reliability assessment are presented and compared in the framework.Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.
基金partially supported by the National Natural Science Foundation of China(General Program)(No.52077107)Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications(No.NY220082).
文摘The vehicle-to-grid(V2G)technology enables the bidirectional power flow between electric vehicle(EV)batteries and the power grid,making EV-based mobile energy storage an appealing supplement to stationary energy storage systems.However,the stochastic and volatile charging behaviors pose a challenge for EV fleets to engage directly in multi-agent cooperation.To unlock the scheduling potential of EVs,this paper proposes a source-load-storage cooperative low-carbon scheduling strategy considering V2G aggregators.The uncertainty of EV charging patterns is managed through a rolling-horizon control framework,where the scheduling and control horizons are adaptively adjusted according to the availability periods of EVs.Moreover,a Minkowski-sum based aggregation method is employed to evaluate the scheduling potential of aggregated EV fleets within a given scheduling horizon.This method effectively reduces the variable dimension while preserving the charging and discharging constraints of individual EVs.Subsequently,a Nash bargaining based cooperative scheduling model involving a distribution system operator(DSO),an EV aggregator(EVA),and a load aggregator(LA)is established to maximize the social welfare and improve the low-carbon performance of the system.This model is solved by the alternating direction method of multipliers(ADMM)algorithm in a distributed manner,with privacy of participants fully preserved.The proposed strategy is proven to achieve the objective of low-carbon economic operation.
