随着电容式电压互感器(Capacitor Voltage Transformer,CVT)在电力系统中的广泛使用,运行中也出现了一些问题,其中较常见的是内部电容元件的击穿故障,目前多数CVT在线监测系统需增加一次硬件设备,这不仅增加了系统投入,更可能影响系统...随着电容式电压互感器(Capacitor Voltage Transformer,CVT)在电力系统中的广泛使用,运行中也出现了一些问题,其中较常见的是内部电容元件的击穿故障,目前多数CVT在线监测系统需增加一次硬件设备,这不仅增加了系统投入,更可能影响系统的可靠性,文章利用广东电网中运行成熟的能量管理系统(EMS)中的CVT二次电压数据,研究二次电压变化与CVT自身状态的关系,通过理论计算与统计分析相结合确定了故障判断阈值,在不增加一次系统的硬件投入的基础上,建立了实时监测CVT运行状态的故障分析系统,避免了CVT故障的发展、威胁系统的安全,从而达到提高电力系统运行可靠性的目的。展开更多
Wireless Sensor Networks (WSN) have recently become one of the major research areas in the wireless communication field and are implemented in a variety of applications. One of these applications that will be tackled ...Wireless Sensor Networks (WSN) have recently become one of the major research areas in the wireless communication field and are implemented in a variety of applications. One of these applications that will be tackled in this paper is monitoring electromagnetic (EM) pollution that is mostly caused by a variety of wireless devices that we use in our daily life. This paper presents a generic algorithm that uses a WSN to monitor EM hazardous emissions and reports variation caused by four violators. Additionally it calculates the network’s lifetime and simultaneously studies the effect of random parameters and their distributions on the network. Finally the different combinations of the random parameters and the altered distributions are compared together to achieve the combination that can prolong the network’s lifetime.展开更多
文摘随着电容式电压互感器(Capacitor Voltage Transformer,CVT)在电力系统中的广泛使用,运行中也出现了一些问题,其中较常见的是内部电容元件的击穿故障,目前多数CVT在线监测系统需增加一次硬件设备,这不仅增加了系统投入,更可能影响系统的可靠性,文章利用广东电网中运行成熟的能量管理系统(EMS)中的CVT二次电压数据,研究二次电压变化与CVT自身状态的关系,通过理论计算与统计分析相结合确定了故障判断阈值,在不增加一次系统的硬件投入的基础上,建立了实时监测CVT运行状态的故障分析系统,避免了CVT故障的发展、威胁系统的安全,从而达到提高电力系统运行可靠性的目的。
文摘Wireless Sensor Networks (WSN) have recently become one of the major research areas in the wireless communication field and are implemented in a variety of applications. One of these applications that will be tackled in this paper is monitoring electromagnetic (EM) pollution that is mostly caused by a variety of wireless devices that we use in our daily life. This paper presents a generic algorithm that uses a WSN to monitor EM hazardous emissions and reports variation caused by four violators. Additionally it calculates the network’s lifetime and simultaneously studies the effect of random parameters and their distributions on the network. Finally the different combinations of the random parameters and the altered distributions are compared together to achieve the combination that can prolong the network’s lifetime.