【作者】 冯艳艳； 康忠健；

【Author】 Feng Yanyan;Kang Zhongjian;College of Information and Control Engineering, China University of Petroleum;

【机构】 中国石油大学(华东)信息与控制工程学院；

【摘要】 随着分布式电源的引入,传统的辐射状配电网逐步发展成一个复杂的多电源网络,因此分布式电源的等值模型的准确度直接影响了测距的精度,为此,本文提出了一种基于复相关戴维南等值和强跟踪滤波器的配电网故障定位方法。利用强跟踪滤波器可以实时提取单相电压电流的基波相位与幅值,快速跟踪电网参数突变。复相关戴维南等值方法考虑测量数据、DG阻抗和负荷的随机性特点,克服测量数据不确定性带来的误差,使所建的DG阻抗模型更加准确。仿真结果表明,本文所提方法具有故障测距准确度高,鲁棒性强和计算速度快的优点。更多还原

【Abstract】 With the introduction of distributed generators(DG), the traditional distribution system characterized by radical network becomes a multi-source one. Therefore the accuracy of the equivalent model of distributed generators directly affects the precision of fault location. To solve this problem, this paper proposed a fault location method based on complex correlation Thevenin equivalent and strong tracking filter(STF) in distribution network with DG. Strong tracking filter(STF) can be used for real-time extraction of fundamental wave phase and amplitude of single phase voltage and current, and fast track the power parameters mutation. The method of complex correlation Thevenin equivalent takes into account the randomness of measurement data, DG impedance and load to overcome measurement error caused by the uncertainty of the data, so that the construction of the DG impedance model is more accurate. Simulation results show that the method of fault location proposed in this paper has advantages of high accuracy and strong robustness.更多还原