以WAMS(Wide Area Mearsurment System)实际应用情况为背景,提出了WAMS主站系统评估方案。把评估内容分为三个层次,分别为系统硬件、系统软件基本功能和系统应用功能,三个层次逐一递进展开评估,并设计了对应的评估方法和评估函数。设计...以WAMS(Wide Area Mearsurment System)实际应用情况为背景,提出了WAMS主站系统评估方案。把评估内容分为三个层次,分别为系统硬件、系统软件基本功能和系统应用功能,三个层次逐一递进展开评估,并设计了对应的评估方法和评估函数。设计了综合考虑三个层次的WAMS主站系统整体评估方法和评估函数,针对主站系统的稳定性和可靠性设计了某时段WAMS系统连续多次评估方法和评估函数。设计的各评估方法和函数可以为当前电网WAMS主站系统提供评价量化指标,通过各量化指标可以反映出主站系统各层次的稳定性、功能和性能,以及整个系统的稳定性、功能和性能。通过某实际系统仿真分析,证明了评估方法的有效性。展开更多
针对越来越多的研究利用由广域测量系统(wide area measurement system,WAMS)和监控及数据采集系统(supervisory control and data acquisition,SCADA)组成的混合测量来改善传统状态估计的情况,在分析WAMS/SCADA混合测量数据兼容性的基...针对越来越多的研究利用由广域测量系统(wide area measurement system,WAMS)和监控及数据采集系统(supervisory control and data acquisition,SCADA)组成的混合测量来改善传统状态估计的情况,在分析WAMS/SCADA混合测量数据兼容性的基础上,提出一种可行的兼容方案解决混合测量的数据兼容问题。研究从WAMS和SCADA的数据差异入手,建立混合测量模型,分析得出2种数据的时间同步性和测量权值为影响混合测量数据兼容的主要因素,进而提出兼容方案,实现WAMS和SCADA数据的同步,并重新量化测量权值。在标准测试系统上的仿真验证了关于WAMS/SCADA混合测量状态估计数据兼容性分析的正确性和兼容方案的有效性。展开更多
同步相量测量单元(phasor measurements units,PMU)因能测得高精度的同步相量数据而被广泛应用于电力系统中,而传统的监控及数据采集系统(supervisory control and data acquisition,SCADA)是电力系统运行和静态安全监视的基础。文中提...同步相量测量单元(phasor measurements units,PMU)因能测得高精度的同步相量数据而被广泛应用于电力系统中,而传统的监控及数据采集系统(supervisory control and data acquisition,SCADA)是电力系统运行和静态安全监视的基础。文中提出了一种PMU与SCADA数据共存的数学模型用于电力系统状态估计。该模型在保留原有SCADA数据的同时,通过虚拟测量方法对PMU观测范围进行大范围拓展,提高数据冗余度及状态估计的精度。仿真结果表明,该方法具有较高的估计精度,且不受网络拓扑结构和PMU数量限制,适于SCADA和PMU数据共存系统。展开更多
A new methodology for the detection and identification of insulator arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collec...A new methodology for the detection and identification of insulator arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collected using Phasor Measurement Units (PMU). Detection of insulator arcing faults is based on feature extraction and frequency component analysis. The proposed methodology pertains to the identification of various stages of insulator arcing faults in transmission lines network based on leakage current, frequency characteristics and synchronous phasor measurements of voltage. The methodology is evaluated for IEEE 14 standard bus system by modeling the PMU and insulator arc faults using MATLAB/Simulink. The classification of insulator arcs is done using Support Vector Machine (SVM) technique to avoid empirical risk. The proposed methodology using phasor angle measurements employing PMU is used for fault detection/classification of insulator arcing which further helps in efficient protection of the system and its stable operation. In addition, the methodology is suitable for wide area condition monitoring of smart grid rather than end to end transmission lines.展开更多
大量分布式能源的并网,使得配电网中的电源点增多,动态行为日趋复杂。基于同步相量测量技术的广域测量系统(Wide Area Measurement System,WAMS)能对电网部分关键节点进行实时的监测与分析,能有效的提高电网运行的可靠性。结合中外文献...大量分布式能源的并网,使得配电网中的电源点增多,动态行为日趋复杂。基于同步相量测量技术的广域测量系统(Wide Area Measurement System,WAMS)能对电网部分关键节点进行实时的监测与分析,能有效的提高电网运行的可靠性。结合中外文献,分析了当前同步相量测量单元(Phasor Measurement Unit,PMU)应用于主动配电网的瓶颈,分别讨论了当前频率跟踪和同步相量测量算法的优缺点,最后总结出能够实际应用的方法及广域同步相量在主动配电网的发展趋势。展开更多
文摘以WAMS(Wide Area Mearsurment System)实际应用情况为背景,提出了WAMS主站系统评估方案。把评估内容分为三个层次,分别为系统硬件、系统软件基本功能和系统应用功能,三个层次逐一递进展开评估,并设计了对应的评估方法和评估函数。设计了综合考虑三个层次的WAMS主站系统整体评估方法和评估函数,针对主站系统的稳定性和可靠性设计了某时段WAMS系统连续多次评估方法和评估函数。设计的各评估方法和函数可以为当前电网WAMS主站系统提供评价量化指标,通过各量化指标可以反映出主站系统各层次的稳定性、功能和性能,以及整个系统的稳定性、功能和性能。通过某实际系统仿真分析,证明了评估方法的有效性。
文摘针对越来越多的研究利用由广域测量系统(wide area measurement system,WAMS)和监控及数据采集系统(supervisory control and data acquisition,SCADA)组成的混合测量来改善传统状态估计的情况,在分析WAMS/SCADA混合测量数据兼容性的基础上,提出一种可行的兼容方案解决混合测量的数据兼容问题。研究从WAMS和SCADA的数据差异入手,建立混合测量模型,分析得出2种数据的时间同步性和测量权值为影响混合测量数据兼容的主要因素,进而提出兼容方案,实现WAMS和SCADA数据的同步,并重新量化测量权值。在标准测试系统上的仿真验证了关于WAMS/SCADA混合测量状态估计数据兼容性分析的正确性和兼容方案的有效性。
文摘同步相量测量单元(phasor measurements units,PMU)因能测得高精度的同步相量数据而被广泛应用于电力系统中,而传统的监控及数据采集系统(supervisory control and data acquisition,SCADA)是电力系统运行和静态安全监视的基础。文中提出了一种PMU与SCADA数据共存的数学模型用于电力系统状态估计。该模型在保留原有SCADA数据的同时,通过虚拟测量方法对PMU观测范围进行大范围拓展,提高数据冗余度及状态估计的精度。仿真结果表明,该方法具有较高的估计精度,且不受网络拓扑结构和PMU数量限制,适于SCADA和PMU数据共存系统。
文摘A new methodology for the detection and identification of insulator arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collected using Phasor Measurement Units (PMU). Detection of insulator arcing faults is based on feature extraction and frequency component analysis. The proposed methodology pertains to the identification of various stages of insulator arcing faults in transmission lines network based on leakage current, frequency characteristics and synchronous phasor measurements of voltage. The methodology is evaluated for IEEE 14 standard bus system by modeling the PMU and insulator arc faults using MATLAB/Simulink. The classification of insulator arcs is done using Support Vector Machine (SVM) technique to avoid empirical risk. The proposed methodology using phasor angle measurements employing PMU is used for fault detection/classification of insulator arcing which further helps in efficient protection of the system and its stable operation. In addition, the methodology is suitable for wide area condition monitoring of smart grid rather than end to end transmission lines.
