Reliable planning and operation of power distribution systems are of great significance. In this paper, the impactincrement based state enumeration(IIBSE) method is modified to adapt to the features of distribution sy...Reliable planning and operation of power distribution systems are of great significance. In this paper, the impactincrement based state enumeration(IIBSE) method is modified to adapt to the features of distribution systems. With the proposed method, the expectation, probabilistic, and duration reliability indices can be accurately obtained with a lower enumerated order of contingency states. In addition, the time-consuming optimal power flow(OPF) calculation can be replaced by a simple matrix operation for both independent and radial series failure states. Therefore, the accuracy and efficiency of the assessment process are improved comprehensively. The case of RBTS bus 6 system and IEEE 123 node test feeder system are utilized to test the performance of the modified IIBSE. The results show the superiority of the proposed method over Monte Carlo(MC) sampling and state enumeration(SE) methods in distribution systems.展开更多
压缩空气储能(Compressed Air Energy Storage,CAES)具有建设成本低、寿命长、容量大和存储方便等特点,部署在综合能源微网中有助于提升系统的经济性、清洁性和可靠性.但是,CAES具有多能流耦合、结构机理复杂、多种规律并存等特点,给微...压缩空气储能(Compressed Air Energy Storage,CAES)具有建设成本低、寿命长、容量大和存储方便等特点,部署在综合能源微网中有助于提升系统的经济性、清洁性和可靠性.但是,CAES具有多能流耦合、结构机理复杂、多种规律并存等特点,给微网的安全可靠供能提出了更高要求.为分析CAES对综合能源微网可靠性的影响,文中提出了一种计及压缩空气储能的综合能源微网可靠性评估方法.首先针对含CAES的典型综合能源微网,构建了热力系统、CAES系统和分布式电源的物理模型;然后,提出了基于影响增量的含CAES综合能源微网可靠性高效评估方法,大大提升了传统状态枚举的可靠性评估效率;最后,通过我国青海某农业示范园区的实际系统算例,验证了所提方法的有效性和实用性.展开更多
基金supported in part by the National Natural Science Foundation of China (No.52077150)the National Key Research and Development Program of China (No.2019YFE0118000)。
文摘Reliable planning and operation of power distribution systems are of great significance. In this paper, the impactincrement based state enumeration(IIBSE) method is modified to adapt to the features of distribution systems. With the proposed method, the expectation, probabilistic, and duration reliability indices can be accurately obtained with a lower enumerated order of contingency states. In addition, the time-consuming optimal power flow(OPF) calculation can be replaced by a simple matrix operation for both independent and radial series failure states. Therefore, the accuracy and efficiency of the assessment process are improved comprehensively. The case of RBTS bus 6 system and IEEE 123 node test feeder system are utilized to test the performance of the modified IIBSE. The results show the superiority of the proposed method over Monte Carlo(MC) sampling and state enumeration(SE) methods in distribution systems.
文摘压缩空气储能(Compressed Air Energy Storage,CAES)具有建设成本低、寿命长、容量大和存储方便等特点,部署在综合能源微网中有助于提升系统的经济性、清洁性和可靠性.但是,CAES具有多能流耦合、结构机理复杂、多种规律并存等特点,给微网的安全可靠供能提出了更高要求.为分析CAES对综合能源微网可靠性的影响,文中提出了一种计及压缩空气储能的综合能源微网可靠性评估方法.首先针对含CAES的典型综合能源微网,构建了热力系统、CAES系统和分布式电源的物理模型;然后,提出了基于影响增量的含CAES综合能源微网可靠性高效评估方法,大大提升了传统状态枚举的可靠性评估效率;最后,通过我国青海某农业示范园区的实际系统算例,验证了所提方法的有效性和实用性.
