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    • 1. 发明申请
    • FAULT-TYPE IDENTIFICATION FOR ELECTRIC POWER DELIVERY SYSTEMS
    • 电力输送系统的故障类型识别
    • US20130088239A1
    • 2013-04-11
    • US13270498
    • 2011-10-11
    • Mangapathirao Venkata MynamYanfeng Gong
    • Mangapathirao Venkata MynamYanfeng Gong
    • G01R31/40
    • G01R31/085G01R31/088H02H3/265
    • Disclosed herein are systems and methods for identifying a fault type in an electric power delivery system using an angle difference between a total zero-sequence current and a total negative-sequence current and a comparison of phase-to-phase currents against a threshold. The angle difference falls into one of a number of predetermined angle difference sectors. Each sector is associated with a phase-to-ground fault type and a phase-to-phase-to-ground fault type or two phase-to-phase-to-ground fault types. The phase-to-phase current(s) of the indicated phase-to-phase-to-ground fault type(s) associated with the sector are compared with a threshold to determine which of the fault types of the sector is the actual fault type. The threshold may be a multiple of a maximum phase-to-phase current.
    • 本文公开了用于使用总零序电流和总负序电流之间的角度差以及相 - 相电流与阈值的比较来识别电力输送系统中的故障类型的系统和方法。 角度差落入多个预定角度差扇区之一。 每个扇区与相对地故障类型和相间对地故障类型或两相对地对地故障类型相关联。 将与扇区相关联的所指示的相间对地故障类型的相间电流与阈值进行比较,以确定扇区的哪些故障类型是实际故障 类型。 阈值可以是最大相间电流的倍数。
    • 7. 发明授权
    • Real-time power system oscillation detection using modal analysis
    • 使用模态分析实时电力系统振荡检测
    • US07987059B2
    • 2011-07-26
    • US12247746
    • 2008-10-08
    • Yanfeng GongArmando Guzman-Casillas
    • Yanfeng GongArmando Guzman-Casillas
    • H02J3/24H02J3/00G06F19/00G06F17/40
    • H02J3/24G01R19/2513Y02E60/728Y04S10/265
    • A power system oscillation detection device is provided for use in an electric power system. A plurality of sample signals are acquired from the electrical power system via a plurality of intelligent electronic devices (IEDs) in communication with the power system. The power system oscillation detection device includes a real-time modal analysis module, a real-time mode identification module, and real-time decision and control logic. The real-time modal analysis module calculates modes of at least one of the signals, each mode including mode information. The real-time mode identification module together with the real-time decision and control logic determines, from the mode information, whether there is an undesirable oscillation in the electric power system and activates a remedial action.
    • 提供一种用于电力系统的电力系统振荡检测装置。 通过与电力系统通信的多个智能电子设备(IED)从电力系统获取多个采样信号。 电力系统振荡检测装置包括实时模态分析模块,实时模式识别模块和实时决策与控制逻辑。 实时模态分析模块计算至少一个信号的模式,每个模式包括模式信息。 实时模式识别模块与实时决策和控制逻辑一起根据模式信息确定电力系统中是否存在不期望的振荡并且启动补救动作。
    • 8. 发明申请
    • Real-Time Power System Oscillation Detection Using Modal Analysis
    • 使用模态分析的实时电力系统振荡检测
    • US20090099798A1
    • 2009-04-16
    • US12247746
    • 2008-10-08
    • Yanfeng GongArmando Guzman-Casillas
    • Yanfeng GongArmando Guzman-Casillas
    • G06F19/00
    • H02J3/24G01R19/2513Y02E60/728Y04S10/265
    • A power system oscillation detection device is provided for use in an electric power system. A plurality of sample signals are acquired from the electrical power system via a plurality of intelligent electronic devices (IEDs) in communication with the power system. The power system oscillation detection device includes a real-time modal analysis module, a real-time mode identification module, and real-time decision and control logic. The real-time modal analysis module calculates modes of at least one of the signals, each mode including mode information. The real-time mode identification module together with the real-time decision and control logic determines, from the mode information, whether there is an undesirable oscillation in the electric power system and activates a remedial action.
    • 提供一种用于电力系统的电力系统振荡检测装置。 通过与电力系统通信的多个智能电子设备(IED)从电力系统获取多个采样信号。 电力系统振荡检测装置包括实时模态分析模块,实时模式识别模块和实时决策与控制逻辑。 实时模态分析模块计算至少一个信号的模式,每个模式包括模式信息。 实时模式识别模块与实时决策和控制逻辑一起根据模式信息确定电力系统中是否存在不期望的振荡并且启动补救动作。
    • 9. 发明授权
    • Fault-type identification for electric power delivery systems
    • 电力输送系统的故障识别
    • US08791704B2
    • 2014-07-29
    • US13270498
    • 2011-10-11
    • Mangapathirao Venkata MynamYanfeng Gong
    • Mangapathirao Venkata MynamYanfeng Gong
    • G01R27/18G01R31/08H02H3/26
    • G01R31/085G01R31/088H02H3/265
    • Disclosed herein are systems and methods for identifying a fault type in an electric power delivery system using an angle difference between a total zero-sequence current and a total negative-sequence current and a comparison of phase-to-phase currents against a threshold. The angle difference falls into one of a number of predetermined angle difference sectors. Each sector is associated with a phase-to-ground fault type and a phase-to-phase-to-ground fault type or two phase-to-phase-to-ground fault types. The phase-to-phase current(s) of the indicated phase-to-phase-to-ground fault type(s) associated with the sector are compared with a threshold to determine which of the fault types of the sector is the actual fault type. The threshold may be a multiple of a maximum phase-to-phase current.
    • 本文公开了用于使用总零序电流和总负序电流之间的角度差以及相 - 相电流与阈值的比较来识别电力输送系统中的故障类型的系统和方法。 角度差落入多个预定角度差扇区之一。 每个扇区与相对地故障类型和相间对地故障类型或两相对地对地故障类型相关联。 将与扇区相关联的所指示的相间对地故障类型的相间电流与阈值进行比较,以确定扇区的哪些故障类型是实际故障 类型。 阈值可以是最大相间电流的倍数。