付强,赵通汉,戴一峰.多态记录模式下的便携式故障录波装置自适应优化方法[J]. 微电子学与计算机,2023,40(4):72-79. doi: 10.19304/J.ISSN1000-7180.2022.0365
引用本文: 付强,赵通汉,戴一峰.多态记录模式下的便携式故障录波装置自适应优化方法[J]. 微电子学与计算机,2023,40(4):72-79. doi: 10.19304/J.ISSN1000-7180.2022.0365
FU Q,ZHAO T H,DAI Y F. Adaptive optimization method of portable fault recorder in multi state recording mode[J]. Microelectronics & Computer,2023,40(4):72-79. doi: 10.19304/J.ISSN1000-7180.2022.0365
Citation: FU Q,ZHAO T H,DAI Y F. Adaptive optimization method of portable fault recorder in multi state recording mode[J]. Microelectronics & Computer,2023,40(4):72-79. doi: 10.19304/J.ISSN1000-7180.2022.0365

多态记录模式下的便携式故障录波装置自适应优化方法

Adaptive optimization method of portable fault recorder in multi state recording mode

  • 摘要: 35 kV及以下电压等级的中低压配电网中设备数量众多、运行情况复杂、故障定位困难,为了提高便携式故障录波装置对配电网故障的定位准确度,保证检测路径最短,提出多态记录模式下的便携式故障录波装置自适应优化方法. 根据便携式故障录波装置工作理论,确定装置多态记录模式,根据暂态记录模式和稳态记录模式记录到的变电站故障数据,采用多态关联挖掘方法,挖掘记录数据中存在的装置定位变电站故障准确度影响参数,得到四个装置自适应优化参数,将其作为最小二乘支持向量机中的四个未知函数,计算波装置四个参数的自适应优化函数值,并将计算值应用在便携式故障录波装置中,即完成便携式故障录波装置自适应优化. 实例分析结果表明,经该方法优化后,部分监测点的便携式故障录波装置记录的配电网电压运行波形波动较为剧烈,故障检测效果较好,体现了自适应优化效果;可以根据电压波形对应的模极大值,构成三组定位结果,在两个检测点之间的路径最短时,即可得到准确的配电网故障定位结果.

     

    Abstract: The medium and low voltage distribution networks with voltage levels of 35kV and below have a large number of equipment, complex operation conditions, and difficulty in fault location. In order to improve the location accuracy of the distribution network faults by the portable fault recorder and ensure the shortest detection path, a polymorphic recorder is proposed. Adaptive optimization method of portable disturbance recorder in mode. According to the working theory of the portable fault recorder, the multi-state recording mode of the device is determined. According to the substation fault data recorded in the transient recording mode and the steady-state recording mode, the polymorphic association mining method is used to mine the devices existing in the recorded data to locate the substation fault. Accuracy affects the parameters, get four adaptive optimization parameters of the device, take them as the four unknown functions in the least squares support vector machine, calculate the adaptive optimization function values ​​of the four parameters of the wave device, and apply the calculated values ​​to the portable device. In the fault recorder, the adaptive optimization of the portable fault recorder is completed. The example analysis results show that after the optimization of this method, the voltage waveform of the distribution network recorded by the portable fault recorder at some monitoring points fluctuates violently, and the fault detection effect is better, which reflects the self-adaptive optimization effect. The maximum value of the modulus of , constitutes three sets of positioning results. When the path between the two detection points is the shortest, an accurate distribution network fault location result can be obtained.

     

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