文章基于互联电网安全稳定控制系统(security and stability control system,SSCS)分层结构和有向指令传输,建立概率加权有向图模型;由于该模型不具有布尔特性,基于路径搜索算法,提出概率加权全连通矩阵;从维护有功平衡能力角度,提出SSC...文章基于互联电网安全稳定控制系统(security and stability control system,SSCS)分层结构和有向指令传输,建立概率加权有向图模型;由于该模型不具有布尔特性,基于路径搜索算法,提出概率加权全连通矩阵;从维护有功平衡能力角度,提出SSCS功能可靠性指标。为提高SSCS可靠性,提出功能可靠性指标对直流线路可靠性参数的灵敏度模型。研究结果表明:上层控制站点和连接通道较多的控制站点对SSCS可靠性影响较大;提高系统结构的可靠性、增加可调节容量,有助于改善功能可靠性和提高大型跨区电网频率稳定水平。展开更多
电网安全稳定控制系统(security and stability control system,SSCS)构成电网稳定防御第二道防线,其可控容量反映SSCS维持频率稳定的能力。站点控制路径可用性和可控容量波动性,增加了对SSCS可控容量评估的难度。文章提出了一种SSCS可...电网安全稳定控制系统(security and stability control system,SSCS)构成电网稳定防御第二道防线,其可控容量反映SSCS维持频率稳定的能力。站点控制路径可用性和可控容量波动性,增加了对SSCS可控容量评估的难度。文章提出了一种SSCS可控容量不确定性分析方法。基于执行站(executive station,EX)可控容量波动特性,采用证据理论方法建立EX基本可信度分配模型。改进SSCS概率加权邻接矩阵,建立站点控制概率模型以修正EX基本可信度分配。考虑站点控制容量与控制路径相关性,建立SSCS可控容量联合可信度分配模型。计算可控容量的似然累积分布(likelihood cumulative probability distribution,LCPD)和信任累积分布(belief cumulative probability distribution,BCPD),量化电网功率缺额下SSCS保全能力。通过与传统概率方法比较,验证了所提可控容量不确定分析方法的有效性。展开更多
The distribution of the suspended sediment concentration （SSC） in the Bohai Sea, Yellow Sea and East China Sea （BYECS） is studied based on the observed turbidity data and model simulation results. The observed tur...The distribution of the suspended sediment concentration （SSC） in the Bohai Sea, Yellow Sea and East China Sea （BYECS） is studied based on the observed turbidity data and model simulation results. The observed turbidity results show that （i） the highest SSC is found in the coastal areas while in the outer shelf sea areas turbid water is much more difficult to observe, （ii） the surface layer SSC is much lower than the bottom layer SSC and （iii） the winter SSC is higher than the summer SSC. The Regional Ocean Modeling System （ROMS） is used to simulate the SSC distribution in the BYECS. A comparison between the modeled SSC and the observed SSC in the BYECS shows that the modeled SSC can reproduce the principal features of tlte SSC distribution in the BYECS. The dynamic mechanisms of the sediment erosion and transport processes are studied based on the modeled results. The horizontal distribution of the SSC in the BYECS is mainly determined by the current-wave induced bottom stress and the fine-grain sediment distribution. The current-induced bottom stress is much higher than the wave-induced bottom stress, which means the tidal currents play a more significant role in the sediment resuspension than the wind waves. The vertical mixing strength is studied based on the mixed layer depth and the turbulent kinetic energy distribution in the BYECS. The strong winter time vertical mixing, which is mainly caused by the strong wind stress and surface cooling, leads to high surface layer SSC in winter. High surface layer SSC in summer is restricted in the coastal areas.展开更多
文摘文章基于互联电网安全稳定控制系统(security and stability control system,SSCS)分层结构和有向指令传输,建立概率加权有向图模型;由于该模型不具有布尔特性,基于路径搜索算法,提出概率加权全连通矩阵;从维护有功平衡能力角度,提出SSCS功能可靠性指标。为提高SSCS可靠性,提出功能可靠性指标对直流线路可靠性参数的灵敏度模型。研究结果表明:上层控制站点和连接通道较多的控制站点对SSCS可靠性影响较大;提高系统结构的可靠性、增加可调节容量,有助于改善功能可靠性和提高大型跨区电网频率稳定水平。
文摘电网安全稳定控制系统(security and stability control system,SSCS)构成电网稳定防御第二道防线,其可控容量反映SSCS维持频率稳定的能力。站点控制路径可用性和可控容量波动性,增加了对SSCS可控容量评估的难度。文章提出了一种SSCS可控容量不确定性分析方法。基于执行站(executive station,EX)可控容量波动特性,采用证据理论方法建立EX基本可信度分配模型。改进SSCS概率加权邻接矩阵,建立站点控制概率模型以修正EX基本可信度分配。考虑站点控制容量与控制路径相关性,建立SSCS可控容量联合可信度分配模型。计算可控容量的似然累积分布(likelihood cumulative probability distribution,LCPD)和信任累积分布(belief cumulative probability distribution,BCPD),量化电网功率缺额下SSCS保全能力。通过与传统概率方法比较,验证了所提可控容量不确定分析方法的有效性。
基金supported by the China Scholarship Council and the National Basic Research Program of China(973 Program 2010CB428904 and 2005CB422300)
文摘The distribution of the suspended sediment concentration （SSC） in the Bohai Sea, Yellow Sea and East China Sea （BYECS） is studied based on the observed turbidity data and model simulation results. The observed turbidity results show that （i） the highest SSC is found in the coastal areas while in the outer shelf sea areas turbid water is much more difficult to observe, （ii） the surface layer SSC is much lower than the bottom layer SSC and （iii） the winter SSC is higher than the summer SSC. The Regional Ocean Modeling System （ROMS） is used to simulate the SSC distribution in the BYECS. A comparison between the modeled SSC and the observed SSC in the BYECS shows that the modeled SSC can reproduce the principal features of tlte SSC distribution in the BYECS. The dynamic mechanisms of the sediment erosion and transport processes are studied based on the modeled results. The horizontal distribution of the SSC in the BYECS is mainly determined by the current-wave induced bottom stress and the fine-grain sediment distribution. The current-induced bottom stress is much higher than the wave-induced bottom stress, which means the tidal currents play a more significant role in the sediment resuspension than the wind waves. The vertical mixing strength is studied based on the mixed layer depth and the turbulent kinetic energy distribution in the BYECS. The strong winter time vertical mixing, which is mainly caused by the strong wind stress and surface cooling, leads to high surface layer SSC in winter. High surface layer SSC in summer is restricted in the coastal areas.
