在智能电网环境下,提出了一种家庭能源管理系统框架和优化调度算法。根据室外温度预测值、可再生能源功率输出预测值、日前电价信号和用户偏好,算法对可调度用电负载、电动汽车、储能系统的运行进行优化调度从而最小化用户用电费用。算...在智能电网环境下,提出了一种家庭能源管理系统框架和优化调度算法。根据室外温度预测值、可再生能源功率输出预测值、日前电价信号和用户偏好,算法对可调度用电负载、电动汽车、储能系统的运行进行优化调度从而最小化用户用电费用。算法考虑了电动汽车在高电价时段通过V2H(vehicle to home,V2H)功能向负载供电的情形,采用情景分析法处理室外温度和可再生能源功率输出预测的不确定性。通过仿真实验验证了算法性能,结果表明与只对负载或家庭能源管理系统部分组成部件进行优化调度的算法相比,所提算法显著降低了用电费用。展开更多
The hydrothermal reaction of NH 4VO 3, CoCl 2·6H 2O, o-phen and H 2O gave a novel two-dimensional layered polyoxovanadate, [Co(o-phen)]V 2O 6·H 2O, which was constructed from {V 2O 6} chains linked by Co(o-p...The hydrothermal reaction of NH 4VO 3, CoCl 2·6H 2O, o-phen and H 2O gave a novel two-dimensional layered polyoxovanadate, [Co(o-phen)]V 2O 6·H 2O, which was constructed from {V 2O 6} chains linked by Co(o-phen) complex fragments. [Co(o-phen)]V 2O 6·H 2O was characterized by IR, TG and single-crystal X-ray diffraction. It crystallizes in monoclinic space group P2(1)/c with a= 0.785 2(9) nm, b=2.118 3(2) nm, c=0.946 3(11) nm, β=112.827(2)°, V=0.145 1(3) nm3, D c=2.074 g/cm3, Z=4, R 1=0.038 8, wR 2=0.094 1.展开更多
Co(en) 3V 3O 6·H 2O has been synthesized by using hydrothermal method and characterized by IR, ICP, XPS and X ray diffraction analysis. The results of the X ray diffraction analysis show that structure of Co(en) ...Co(en) 3V 3O 6·H 2O has been synthesized by using hydrothermal method and characterized by IR, ICP, XPS and X ray diffraction analysis. The results of the X ray diffraction analysis show that structure of Co(en) 3(VO 3) 3·H 2O is orthorhombic with P2(1)2(1)2(1) , and the crystal data are a =0 819 2(7) nm, b =1.263 9(1) nm, c =1.804 8(2) nm, V =1.868 8(3) nm 3, Z=4, D c=1.973 g/cm 3, F (000)=1 124, R 1=0.040 7, wR 2=0.094 9, ( Δ/ρ ) max =706 e/nm 3 and ( Δ/ρ ) min =-452 e/nm 3. The results of XPS show that the Co 2+ was oxidized to Co 3+ (en) 3 at about pH=7.0 in the aqueous solution.展开更多
文摘在智能电网环境下,提出了一种家庭能源管理系统框架和优化调度算法。根据室外温度预测值、可再生能源功率输出预测值、日前电价信号和用户偏好,算法对可调度用电负载、电动汽车、储能系统的运行进行优化调度从而最小化用户用电费用。算法考虑了电动汽车在高电价时段通过V2H(vehicle to home,V2H)功能向负载供电的情形,采用情景分析法处理室外温度和可再生能源功率输出预测的不确定性。通过仿真实验验证了算法性能,结果表明与只对负载或家庭能源管理系统部分组成部件进行优化调度的算法相比,所提算法显著降低了用电费用。
文摘The hydrothermal reaction of NH 4VO 3, CoCl 2·6H 2O, o-phen and H 2O gave a novel two-dimensional layered polyoxovanadate, [Co(o-phen)]V 2O 6·H 2O, which was constructed from {V 2O 6} chains linked by Co(o-phen) complex fragments. [Co(o-phen)]V 2O 6·H 2O was characterized by IR, TG and single-crystal X-ray diffraction. It crystallizes in monoclinic space group P2(1)/c with a= 0.785 2(9) nm, b=2.118 3(2) nm, c=0.946 3(11) nm, β=112.827(2)°, V=0.145 1(3) nm3, D c=2.074 g/cm3, Z=4, R 1=0.038 8, wR 2=0.094 1.
文摘Co(en) 3V 3O 6·H 2O has been synthesized by using hydrothermal method and characterized by IR, ICP, XPS and X ray diffraction analysis. The results of the X ray diffraction analysis show that structure of Co(en) 3(VO 3) 3·H 2O is orthorhombic with P2(1)2(1)2(1) , and the crystal data are a =0 819 2(7) nm, b =1.263 9(1) nm, c =1.804 8(2) nm, V =1.868 8(3) nm 3, Z=4, D c=1.973 g/cm 3, F (000)=1 124, R 1=0.040 7, wR 2=0.094 9, ( Δ/ρ ) max =706 e/nm 3 and ( Δ/ρ ) min =-452 e/nm 3. The results of XPS show that the Co 2+ was oxidized to Co 3+ (en) 3 at about pH=7.0 in the aqueous solution.
