电力系统保护与控制Issue(7)：8-14,7.
基于电压故障分量的超高压线路故障选相新方法
A new method of fault phase identification for EHV lines based on the fault component of phase voltage
摘要
Abstract
Since the existing fault phase identification methods can not identify all fault types quickly and accurately for EHV transmission lines, this paper proposes a new method of fault phase identification based on the fault component of phase voltage difference and the Kalman filter algorithm. The method defines the fault component’s ratio of one phase voltage to the difference of the other two phase voltages as a fault phase identification coefficient. By analyzing the characteristics of fault phase identification factors in each fault type, the fault phase can be identified. Simulation results show that using the Kalman filter algorithm to extract fundamental component is faster and more accurate. Meanwhile, the method can identify fault phases within half a cycle and is scarcely influenced by fault resistances, fault locations and fault initial phase angles. It also has a high sensitivity when the fault is on the side of strong source.关键词
超高压输电线路/故障选相/电压故障分量/卡尔曼滤波算法/傅里叶算法Key words
EHV transmission line/fault phase identification/fault component of phase voltage/Kalman filter algorithm/Fourier algorithm分类
信息技术与安全科学引用本文复制引用
陈旸,胡炎,邰能灵,张沛超..基于电压故障分量的超高压线路故障选相新方法[J].电力系统保护与控制,2014,(7):8-14,7.基金项目
国家自然科学基金项目(51177066)；上海市科委资助项目(09dz1205703)This work is supported by National Natural Science Foundation of China (No.51177066) and Shanghai Science and Technology Commission (No.09dz1205703) （51177066）
