死亡是文学作品永恒的主题之一。丁尼生在他漫长的创作生涯中创作了大量的有关死亡主题的诗歌。Break,break,break和Crossing the Bar分别是他早年和晚年有关死亡主题的最优秀的挽歌诗,也最能代表他早年和晚年的死亡观。从系统功能语言...死亡是文学作品永恒的主题之一。丁尼生在他漫长的创作生涯中创作了大量的有关死亡主题的诗歌。Break,break,break和Crossing the Bar分别是他早年和晚年有关死亡主题的最优秀的挽歌诗,也最能代表他早年和晚年的死亡观。从系统功能语言学视角对这两首诗歌所选择的及物性系统作一比较分析,分析系统功能语言学视角下两首诗歌死亡主题的表达特点,并剖析丁尼生早年、晚年面对死亡的不同态度及其理据。展开更多
Dynamic Reactive Power Optimization(DRPO) is a large-scale, multi-period, and strongly coupled nonlinear mixed-integer programming problem that is difficult to solve directly. First, to handle discrete variables and s...Dynamic Reactive Power Optimization(DRPO) is a large-scale, multi-period, and strongly coupled nonlinear mixed-integer programming problem that is difficult to solve directly. First, to handle discrete variables and switching operation constraints, DRPO is formulated as a nonlinear constrained two-objective optimization problem in this paper. The first objective is to minimize the real power loss and the Total Voltage Deviations(TVDs), and the second objective is to minimize incremental system loss. Then a Filter Collaborative State Transition Algorithm(FCSTA) is presented for solving DRPO problems. Two populations corresponding to two different objectives are employed. Moreover, the filter technique is utilized to deal with constraints. Finally, the effectiveness of the proposed method is demonstrated through the results obtained for a 24-hour test on Ward & Hale 6 bus, IEEE 14 bus, and IEEE 30 bus test power systems. To substantiate the effectiveness of the proposed algorithms, the obtained results are compared with different approaches in the literature.展开更多
文摘死亡是文学作品永恒的主题之一。丁尼生在他漫长的创作生涯中创作了大量的有关死亡主题的诗歌。Break,break,break和Crossing the Bar分别是他早年和晚年有关死亡主题的最优秀的挽歌诗,也最能代表他早年和晚年的死亡观。从系统功能语言学视角对这两首诗歌所选择的及物性系统作一比较分析,分析系统功能语言学视角下两首诗歌死亡主题的表达特点,并剖析丁尼生早年、晚年面对死亡的不同态度及其理据。
基金supported by the National Natural Science Foundation of China(Nos.51767022 and 51575469)
文摘Dynamic Reactive Power Optimization(DRPO) is a large-scale, multi-period, and strongly coupled nonlinear mixed-integer programming problem that is difficult to solve directly. First, to handle discrete variables and switching operation constraints, DRPO is formulated as a nonlinear constrained two-objective optimization problem in this paper. The first objective is to minimize the real power loss and the Total Voltage Deviations(TVDs), and the second objective is to minimize incremental system loss. Then a Filter Collaborative State Transition Algorithm(FCSTA) is presented for solving DRPO problems. Two populations corresponding to two different objectives are employed. Moreover, the filter technique is utilized to deal with constraints. Finally, the effectiveness of the proposed method is demonstrated through the results obtained for a 24-hour test on Ward & Hale 6 bus, IEEE 14 bus, and IEEE 30 bus test power systems. To substantiate the effectiveness of the proposed algorithms, the obtained results are compared with different approaches in the literature.
