直流故障隔离技术是多端柔性直流输、配电系统发展的关键技术。然而,直流系统直流侧故障存在电流快速上升、过流幅值大等特点,对隔离技术提出了极为苛刻的要求。该文针对工程实际中最为典型的两电平电压源换流器(two-level voltage sour...直流故障隔离技术是多端柔性直流输、配电系统发展的关键技术。然而,直流系统直流侧故障存在电流快速上升、过流幅值大等特点,对隔离技术提出了极为苛刻的要求。该文针对工程实际中最为典型的两电平电压源换流器(two-level voltage source converter,two-level VSC)型和模块化多电平换流器(modular multi-level converter,MMC)型直流系统,结合国内外研究成果,以交流断路器、换流器和直流断路器为分类依据,归纳、阐述了各自适用的隔离措施。同时,对各种隔离措施的优缺点进行了分析说明。基于Matlab/Simulink仿真平台,分别搭建了基于两电平VSC和MMC的直流系统,对相关隔离方法进行了仿真测试、验证与比较,为工程实际中隔离措施的配置提供理论依据。展开更多
Multivariate statistical process monitoring and control (MSPM&C) methods for chemical process monitoring with statistical projection techniques such as principal component analysis (PCA) and partial least squares ...Multivariate statistical process monitoring and control (MSPM&C) methods for chemical process monitoring with statistical projection techniques such as principal component analysis (PCA) and partial least squares (PLS) are surveyed in this paper. The four-step procedure of performing MSPM&C for chemical process, modeling of processes, detecting abnormal events or faults, identifying the variable(s) responsible for the faults and diagnosing the source cause for the abnormal behavior, is analyzed. Several main research directions of MSPM&C reported in the literature are discussed, such as multi-way principal component analysis (MPCA) for batch process, statistical monitoring and control for nonlinear process, dynamic PCA and dynamic PLS, and on-line quality control by inferential models. Industrial applications of MSPM&C to several typical chemical processes, such as chemical reactor, distillation column, polymerization process, petroleum refinery units, are summarized. Finally, some concluding remarks and future considerations are made.展开更多
基金Supported by the National High-Tech Development Program of China(No.863-511-920-011,2001AA411230).
文摘Multivariate statistical process monitoring and control (MSPM&C) methods for chemical process monitoring with statistical projection techniques such as principal component analysis (PCA) and partial least squares (PLS) are surveyed in this paper. The four-step procedure of performing MSPM&C for chemical process, modeling of processes, detecting abnormal events or faults, identifying the variable(s) responsible for the faults and diagnosing the source cause for the abnormal behavior, is analyzed. Several main research directions of MSPM&C reported in the literature are discussed, such as multi-way principal component analysis (MPCA) for batch process, statistical monitoring and control for nonlinear process, dynamic PCA and dynamic PLS, and on-line quality control by inferential models. Industrial applications of MSPM&C to several typical chemical processes, such as chemical reactor, distillation column, polymerization process, petroleum refinery units, are summarized. Finally, some concluding remarks and future considerations are made.
