大规模分布式船舶储能系统(distributed energy storage system,DESS)可提高船舶微电网的冗余并保证运行安全。然而,不确定的船舶运行环境容易导致分布式储能运行特性不一致。在此背景下,该文提出一种含状态耦合约束的分布式船舶储能系...大规模分布式船舶储能系统(distributed energy storage system,DESS)可提高船舶微电网的冗余并保证运行安全。然而,不确定的船舶运行环境容易导致分布式储能运行特性不一致。在此背景下,该文提出一种含状态耦合约束的分布式船舶储能系统两层能量管理策略。首先,计及不确定航运环境影响,建立船舶储能系统寿命-功率特性耦合模型,量化其在不同循环寿命下的最大可用功率范围。随后,建立分布式储能系统两层能量管理策略,结合长时间尺度节能调度与短时间尺度功率分配控制,减少多时间尺度下不确定航运环境的影响;最终,通过HiL硬件在环实时仿真系统验证所提方法,与两种传统的能量管理方法相比,所提方法能够保证每个储能系统运行在安全出力范围内,且燃油经济性提高20.8%,微网母线电压暂降偏差最高降低73.5%。展开更多
Device-to-Device(D2D) communication has been proposed to facilitate cellular network with system capacity(SC) and quality of service(QoS).We consider the design of link assignment(LA),channel allocation(CA)and power c...Device-to-Device(D2D) communication has been proposed to facilitate cellular network with system capacity(SC) and quality of service(QoS).We consider the design of link assignment(LA),channel allocation(CA)and power control(PC) in D2D-aided content delivery scenario for both user fairness(UF)and system throughput(ST) under QoS requirement.Due to the complexity of the problem,we decompose it into two components:CA is formulated from graph perspective to mitigate severe co-channel interference,which turns out to be the Max K-cut problem;LA and PC are jointly optimized to utilize the gain achieved from CA for supreme performance,and specifically,genetic algorithm(GA) is adopted to optimize LA,but when deriving the fitness of each chromosome,PC optimization will be involved.Thanks to numerical results,we elucidate the efficacy of our scheme.展开更多
This paper presents a novel design procedure for optimizing the power distribution strategy in distributed generation system. A coordinating controller, responsible to distribute the total load power request among mul...This paper presents a novel design procedure for optimizing the power distribution strategy in distributed generation system. A coordinating controller, responsible to distribute the total load power request among multiple DG units, is suggested based on the conception of hierarchical control structure in the dynamic system. The optimal control problem was formulated as a nonlinear optimization problem subject to set of constraints. The resulting problem was solved using the Kuhn-Tucker method. Computer simulation results demonstrate that the proposed method can provide better efficiency in terms of reducing total costs compared to existing methods. In addition, the proposed optimal load distribution strategy can be easily implemented in real-time thanks to the simplicity of closed-form solutions.展开更多
文摘大规模分布式船舶储能系统(distributed energy storage system,DESS)可提高船舶微电网的冗余并保证运行安全。然而,不确定的船舶运行环境容易导致分布式储能运行特性不一致。在此背景下,该文提出一种含状态耦合约束的分布式船舶储能系统两层能量管理策略。首先,计及不确定航运环境影响,建立船舶储能系统寿命-功率特性耦合模型,量化其在不同循环寿命下的最大可用功率范围。随后,建立分布式储能系统两层能量管理策略,结合长时间尺度节能调度与短时间尺度功率分配控制,减少多时间尺度下不确定航运环境的影响;最终,通过HiL硬件在环实时仿真系统验证所提方法,与两种传统的能量管理方法相比,所提方法能够保证每个储能系统运行在安全出力范围内,且燃油经济性提高20.8%,微网母线电压暂降偏差最高降低73.5%。
基金supported by the National 863 projects of China(2014AA01A706)
文摘Device-to-Device(D2D) communication has been proposed to facilitate cellular network with system capacity(SC) and quality of service(QoS).We consider the design of link assignment(LA),channel allocation(CA)and power control(PC) in D2D-aided content delivery scenario for both user fairness(UF)and system throughput(ST) under QoS requirement.Due to the complexity of the problem,we decompose it into two components:CA is formulated from graph perspective to mitigate severe co-channel interference,which turns out to be the Max K-cut problem;LA and PC are jointly optimized to utilize the gain achieved from CA for supreme performance,and specifically,genetic algorithm(GA) is adopted to optimize LA,but when deriving the fitness of each chromosome,PC optimization will be involved.Thanks to numerical results,we elucidate the efficacy of our scheme.
基金Sponsored by the Indiana 21stCentury Research and Technology Fund
文摘This paper presents a novel design procedure for optimizing the power distribution strategy in distributed generation system. A coordinating controller, responsible to distribute the total load power request among multiple DG units, is suggested based on the conception of hierarchical control structure in the dynamic system. The optimal control problem was formulated as a nonlinear optimization problem subject to set of constraints. The resulting problem was solved using the Kuhn-Tucker method. Computer simulation results demonstrate that the proposed method can provide better efficiency in terms of reducing total costs compared to existing methods. In addition, the proposed optimal load distribution strategy can be easily implemented in real-time thanks to the simplicity of closed-form solutions.
