Electromagnetic detection satellite(EDS) is a type of Earth observation satellite(EOS). Satellites observation and data down-link scheduling plays a significant role in improving the efficiency of satellite observ...Electromagnetic detection satellite(EDS) is a type of Earth observation satellite(EOS). Satellites observation and data down-link scheduling plays a significant role in improving the efficiency of satellite observation systems. However, the current works mainly focus on the scheduling of imaging satellites, little work focuses on the scheduling of EDSes for its specific requirements.And current works mainly schedule satellite resources and data down-link resources separately, not considering them in a globally optimal perspective. The EDSes and data down-link resources are scheduled in an integrated process and the scheduling result is searched globally. Considering the specific constraints of EDS, a coordinate scheduling model for EDS observation tasks and data transmission jobs is established and an algorithm based on the genetic algorithm is proposed. Furthermore, the convergence of our algorithm is proved. To deal with some specific constraints, a solution repairing algorithm of polynomial computing time is designed. Finally, some experiments are conducted to validate the correctness and practicability of our scheduling algorithms.展开更多
在用能形态转变关键期,有关园区级综合能源系统的试点项目集中涌现。多个园区以不同参与主体接入电力系统与热力系统构成的区域综合能源系统,带来利益冲突与交互功率不匹配问题。为此,基于交替方向乘子分布式算法,建立了多园区服务商与...在用能形态转变关键期,有关园区级综合能源系统的试点项目集中涌现。多个园区以不同参与主体接入电力系统与热力系统构成的区域综合能源系统,带来利益冲突与交互功率不匹配问题。为此,基于交替方向乘子分布式算法,建立了多园区服务商与综合能源供应商的两级协调优化运行模型。上级综合能源供应商运营管理电网与热网构成的区域综合能源系统,下级各园区服务商控制管理各园区级综合能源系统。上级模型中针对热电能源本身特性,建立供需实时平衡的配电网以及考虑热能传输延时性的热网模型;在下级模型中利用多能转换设备实现能源的梯级利用。该文提出的两级协调运行模型基于ADMM(alternatingdirectionmethod of multipliers)分布式算法,利用复制变量法解耦上下层交互功率保护参与主体隐私信息,利用惩罚因子调整参与主体调度策略,在多次迭代互动中实现上下层协调运行。以苏州同里某新能源智慧园区为算例,验证所建模型可保护各参与主体隐私,同时满足整体运行成本最低,并分析不同调度模式以及不同运行场景对系统运行结果的影响。展开更多
基金supported by the National Natural Science Foundation of China(6110118461174159)
文摘Electromagnetic detection satellite(EDS) is a type of Earth observation satellite(EOS). Satellites observation and data down-link scheduling plays a significant role in improving the efficiency of satellite observation systems. However, the current works mainly focus on the scheduling of imaging satellites, little work focuses on the scheduling of EDSes for its specific requirements.And current works mainly schedule satellite resources and data down-link resources separately, not considering them in a globally optimal perspective. The EDSes and data down-link resources are scheduled in an integrated process and the scheduling result is searched globally. Considering the specific constraints of EDS, a coordinate scheduling model for EDS observation tasks and data transmission jobs is established and an algorithm based on the genetic algorithm is proposed. Furthermore, the convergence of our algorithm is proved. To deal with some specific constraints, a solution repairing algorithm of polynomial computing time is designed. Finally, some experiments are conducted to validate the correctness and practicability of our scheduling algorithms.
文摘在用能形态转变关键期,有关园区级综合能源系统的试点项目集中涌现。多个园区以不同参与主体接入电力系统与热力系统构成的区域综合能源系统,带来利益冲突与交互功率不匹配问题。为此,基于交替方向乘子分布式算法,建立了多园区服务商与综合能源供应商的两级协调优化运行模型。上级综合能源供应商运营管理电网与热网构成的区域综合能源系统,下级各园区服务商控制管理各园区级综合能源系统。上级模型中针对热电能源本身特性,建立供需实时平衡的配电网以及考虑热能传输延时性的热网模型;在下级模型中利用多能转换设备实现能源的梯级利用。该文提出的两级协调运行模型基于ADMM(alternatingdirectionmethod of multipliers)分布式算法,利用复制变量法解耦上下层交互功率保护参与主体隐私信息,利用惩罚因子调整参与主体调度策略,在多次迭代互动中实现上下层协调运行。以苏州同里某新能源智慧园区为算例,验证所建模型可保护各参与主体隐私,同时满足整体运行成本最低,并分析不同调度模式以及不同运行场景对系统运行结果的影响。