基于小波包时间熵的配电网运行状态特征提取方法

发布时间：2018-12-25 07:43

【摘要】：为了及时监测配电网运行情况进而快速准确甄别配电网的正常、异常以及故障状态,提出基于小波包时间熵的配电网运行状态特征提取方法,给出其小波基函数、分解层数和尺度、时间窗等相关参数的选择规范,分析该小波熵对系统状态表征的机理。搭建典型配电网模型,针对各种运行工况下典型配电网运行状态进行模拟仿真,仿真结果表明,所提方法能够正确区分配电网典型运行状态,并且不受网络拓扑、线路类型、故障类型、故障时刻、故障位置、过渡电阻等因素的影响,具有较好的适应性。
[Abstract]:In order to monitor the operation of distribution network in time and quickly and accurately identify the normal, abnormal and fault state of distribution network, a method based on wavelet packet time entropy is proposed to extract the characteristics of distribution network operation state, and its wavelet basis function is given. The parameters of decomposition layer, scale, time window and so on are selected, and the mechanism of the wavelet entropy to represent the state of the system is analyzed. The simulation results show that the proposed method can correctly distinguish the typical operation state of distribution network and is not subject to network topology and line type. Fault type, fault time, fault location, transition resistance and other factors have good adaptability.
【作者单位】：广东电网公司电力科学研究院;武汉大学电气工程学院;
【基金】：国家自然科学基金面上项目(51277135) 南方电网公司重点科技项目(K-GD2012-343)~~
【分类号】：TM732

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