The microwave wireless power transmission technologies for space solar power station are a crucial field in the international space sector,where various countries are competing in its development.This paper surveys th...The microwave wireless power transmission technologies for space solar power station are a crucial field in the international space sector,where various countries are competing in its development.This paper surveys the research experiments and development efforts related to space solar power stations and microwave wireless power transmission technologies worldwide.The objective is to assess the progress and current state of this technological foundation,determine the necessary focus for developing high-power microwave wireless power transmission technology,and provide clarity on the direction of future technology development in these areas.Finally,a distributed space solar power station plan that is immediately feasible is proposed.展开更多
Organic Rankine cycle(ORC) power plant operating with supercritical parameters supplied by low temperature slag-washing water(SWW) of blast furnace was investigated.A schematic of such installation was presented with ...Organic Rankine cycle(ORC) power plant operating with supercritical parameters supplied by low temperature slag-washing water(SWW) of blast furnace was investigated.A schematic of such installation was presented with a description of its operation and the algorithm of calculations of a supercritical power plant.Two typical organic fluids with sufficiently low critical parameters were selected as candidate working fluids in the plant to study the efficiency of the system with different organic fluids.An analysis of the influence on the effectiveness of operation of a plant was carried out.With the same temperature of slag-washing water,the specific work in turbine of fluid R143a is 45% higher than that obtained for the fluid R125,however,the specific work in pump of fluid R143a is approximate equal into that one of the fluid R125.展开更多
A physical modeling case study on flood and sediment disaster of waterpower stations in mountain rivers was conducted.Field observations and laboratory experiments show that the reasons induced disasters of Boluo Wate...A physical modeling case study on flood and sediment disaster of waterpower stations in mountain rivers was conducted.Field observations and laboratory experiments show that the reasons induced disasters of Boluo Waterpower Station are those main characteristics of mountain rivers in South-Western China.High speed flows with velocities between 10 to 20 m/s are provided with strong sediment canting capacity in flood season.Steep banks with thick loose surfaces are rich in sediment supply by landslides and...展开更多
The Geheyan Power Station on the Qingjiang river has four inlet tunnels, on the right bank, with its excavation diameter of 11.3 m to 12.5 m, after lining diameter of 9.5 m, axis to axis spacing of 24 m. The thickness...The Geheyan Power Station on the Qingjiang river has four inlet tunnels, on the right bank, with its excavation diameter of 11.3 m to 12.5 m, after lining diameter of 9.5 m, axis to axis spacing of 24 m. The thickness of the pillar between tunnels should usually be more than two times of tunnel diameter to ensure the stability of surrounding rock during excavation. In this paper, the excavation methods of tunnels with the pillar thickness as small as the tunnel diameter, such as smooth surface blasting, shotcrete support protection, are emphatically discussed.展开更多
The adaptive simulation algorithm (ASA) based on stiffness recognition is an effective and applicable simulation method. In this paper, a principle of the said method is briefly introduced and more importance is stres...The adaptive simulation algorithm (ASA) based on stiffness recognition is an effective and applicable simulation method. In this paper, a principle of the said method is briefly introduced and more importance is stressed in studying the value of its application by realizing it in MMS.展开更多
大容量电池储能电站功率分配的决策变量多,且策略需考虑多个优化目标及能自动适应场景的不确定性。为此,提出了一种基于多智能体深度强化学习(multi-agent deep reinforcement learning,MADRL)的电池储能电站功率分配决策方法。首先,基...大容量电池储能电站功率分配的决策变量多,且策略需考虑多个优化目标及能自动适应场景的不确定性。为此,提出了一种基于多智能体深度强化学习(multi-agent deep reinforcement learning,MADRL)的电池储能电站功率分配决策方法。首先,基于大容量电池储能电站结构及其功率分配特性构建基于MADRL的功率分配决策框架,每个储能单元设置一个功率分配智能体,多个智能体构成合作关系;然后,设计考虑储能电站有功功率损耗、荷电状态(state of charge,SOC)一致性和健康状态损失最小优化目标的功率分配智能体模型,采用深度确定性策略梯度(deep deterministic policy gradient,DDPG)算法去中心化训练各智能体网络参数,算法收敛后得到储能子系统充放电功率值。最后,算例验证了所提方法的有效性,能在有效提高储能子系统SOC均衡性的同时降低有功功率损耗、健康状态损失和充放电切换次数。展开更多
基金Entrusted Fund of National Institute of Information and Communications Technology(NICT),Japan(JPJ012368C02401)。
文摘The microwave wireless power transmission technologies for space solar power station are a crucial field in the international space sector,where various countries are competing in its development.This paper surveys the research experiments and development efforts related to space solar power stations and microwave wireless power transmission technologies worldwide.The objective is to assess the progress and current state of this technological foundation,determine the necessary focus for developing high-power microwave wireless power transmission technology,and provide clarity on the direction of future technology development in these areas.Finally,a distributed space solar power station plan that is immediately feasible is proposed.
基金Project(2011FZ050) supported by the Applied Basic Research Program of Yunnan Provincial Science and Technology Department,ChinaProject(2011J084) supported by the Master Program of Yunnan Province Education Department,China
文摘Organic Rankine cycle(ORC) power plant operating with supercritical parameters supplied by low temperature slag-washing water(SWW) of blast furnace was investigated.A schematic of such installation was presented with a description of its operation and the algorithm of calculations of a supercritical power plant.Two typical organic fluids with sufficiently low critical parameters were selected as candidate working fluids in the plant to study the efficiency of the system with different organic fluids.An analysis of the influence on the effectiveness of operation of a plant was carried out.With the same temperature of slag-washing water,the specific work in turbine of fluid R143a is 45% higher than that obtained for the fluid R125,however,the specific work in pump of fluid R143a is approximate equal into that one of the fluid R125.
基金Supported by 973 Program of China(2003CB415202),and by Key Project of Chinese Ministry of Education(03134).
文摘A physical modeling case study on flood and sediment disaster of waterpower stations in mountain rivers was conducted.Field observations and laboratory experiments show that the reasons induced disasters of Boluo Waterpower Station are those main characteristics of mountain rivers in South-Western China.High speed flows with velocities between 10 to 20 m/s are provided with strong sediment canting capacity in flood season.Steep banks with thick loose surfaces are rich in sediment supply by landslides and...
文摘The Geheyan Power Station on the Qingjiang river has four inlet tunnels, on the right bank, with its excavation diameter of 11.3 m to 12.5 m, after lining diameter of 9.5 m, axis to axis spacing of 24 m. The thickness of the pillar between tunnels should usually be more than two times of tunnel diameter to ensure the stability of surrounding rock during excavation. In this paper, the excavation methods of tunnels with the pillar thickness as small as the tunnel diameter, such as smooth surface blasting, shotcrete support protection, are emphatically discussed.
文摘The adaptive simulation algorithm (ASA) based on stiffness recognition is an effective and applicable simulation method. In this paper, a principle of the said method is briefly introduced and more importance is stressed in studying the value of its application by realizing it in MMS.
文摘大容量电池储能电站功率分配的决策变量多,且策略需考虑多个优化目标及能自动适应场景的不确定性。为此,提出了一种基于多智能体深度强化学习(multi-agent deep reinforcement learning,MADRL)的电池储能电站功率分配决策方法。首先,基于大容量电池储能电站结构及其功率分配特性构建基于MADRL的功率分配决策框架,每个储能单元设置一个功率分配智能体,多个智能体构成合作关系;然后,设计考虑储能电站有功功率损耗、荷电状态(state of charge,SOC)一致性和健康状态损失最小优化目标的功率分配智能体模型,采用深度确定性策略梯度(deep deterministic policy gradient,DDPG)算法去中心化训练各智能体网络参数,算法收敛后得到储能子系统充放电功率值。最后,算例验证了所提方法的有效性,能在有效提高储能子系统SOC均衡性的同时降低有功功率损耗、健康状态损失和充放电切换次数。
