Compound extreme climate events may profoundly affect human activity in the Yangtze River Basin.This study analyzed the long-term spatiotemporal distribution characteristics of compound heatwave-drought and heatwave-w...Compound extreme climate events may profoundly affect human activity in the Yangtze River Basin.This study analyzed the long-term spatiotemporal distribution characteristics of compound heatwave-drought and heatwave-waterlogging events in the Yangtze River Basin using multi-period historical observation data and future scenario climate model data.It also examined the changes in population exposure to compound extreme climate events in the basin and their driving factors by combining population statistics and forecast data.The results show that the occurrence days of compound heatwave-drought and heatwave-waterlogging events in the Yangtze River Basin have shown a significant upward trend both in historical periods and future scenarios,accompanied by a marked expansion in the affected areas.Compared to historical periods,population exposure in the Yangtze River Basin under future scenarios is expected to increase by 1.5–2 times,primarily concentrated in the key urban areas of the basin.The main factors driving the changes in population exposure are the increased frequency of extreme climate events and population decline in future scenarios.These findings provide scientific evidence for early mitigation of meteorological disasters in the Yangtze River Basin.展开更多
随着地区分布式能源快速发展,其单机装机容量小和出力随机性强的问题愈发凸显,导致分布式能源在单独参与市场交易时竞争力不足。为提升其市场参与能力,整合分布式能源形成虚拟电厂(virtual power plant,VPP)已成为一种有效途径。因此,...随着地区分布式能源快速发展,其单机装机容量小和出力随机性强的问题愈发凸显,导致分布式能源在单独参与市场交易时竞争力不足。为提升其市场参与能力,整合分布式能源形成虚拟电厂(virtual power plant,VPP)已成为一种有效途径。因此,针对含分布式能源的VPP市场交易策略进行研究,提出一种基于混合博弈强化学习的交易策略。首先,根据虚拟电厂内部单元的运行特性构建能源供应商和负荷聚合商的收益模型;然后,为了保证虚拟电厂内部运营商的整体收益建立社会福利最大化模型;最后,基于Stackelberg博弈和演化博弈的混合博弈强化学习算法求解该交易模型。算例分析表明,基于混合博弈强化学习算法的双层模型求解效果优于其他传统智能算法,求解时间减小近50%;此外,VPP同时参与能量市场和辅助服务市场时,可获得更高的收益。展开更多
基金supported by the National Natural Science Foundation of China(Nos.42301029,42371354)the Scientific Research Start-up Fund for New Young Faculty,China University of Geosciences,Wuhan(No.CUGXQN2307)China Meteorological Administration Innovation and Development Project(No.CXFZ2023J051).
文摘Compound extreme climate events may profoundly affect human activity in the Yangtze River Basin.This study analyzed the long-term spatiotemporal distribution characteristics of compound heatwave-drought and heatwave-waterlogging events in the Yangtze River Basin using multi-period historical observation data and future scenario climate model data.It also examined the changes in population exposure to compound extreme climate events in the basin and their driving factors by combining population statistics and forecast data.The results show that the occurrence days of compound heatwave-drought and heatwave-waterlogging events in the Yangtze River Basin have shown a significant upward trend both in historical periods and future scenarios,accompanied by a marked expansion in the affected areas.Compared to historical periods,population exposure in the Yangtze River Basin under future scenarios is expected to increase by 1.5–2 times,primarily concentrated in the key urban areas of the basin.The main factors driving the changes in population exposure are the increased frequency of extreme climate events and population decline in future scenarios.These findings provide scientific evidence for early mitigation of meteorological disasters in the Yangtze River Basin.
文摘随着地区分布式能源快速发展,其单机装机容量小和出力随机性强的问题愈发凸显,导致分布式能源在单独参与市场交易时竞争力不足。为提升其市场参与能力,整合分布式能源形成虚拟电厂(virtual power plant,VPP)已成为一种有效途径。因此,针对含分布式能源的VPP市场交易策略进行研究,提出一种基于混合博弈强化学习的交易策略。首先,根据虚拟电厂内部单元的运行特性构建能源供应商和负荷聚合商的收益模型;然后,为了保证虚拟电厂内部运营商的整体收益建立社会福利最大化模型;最后,基于Stackelberg博弈和演化博弈的混合博弈强化学习算法求解该交易模型。算例分析表明,基于混合博弈强化学习算法的双层模型求解效果优于其他传统智能算法,求解时间减小近50%;此外,VPP同时参与能量市场和辅助服务市场时,可获得更高的收益。
