联合高低频电力线通信的中压配电网拓扑自动识别方法

Automatic Identification of Medium-voltage Power Distribution Network Topology Based on High and Low Frequency Power Line Communication

准确的拓扑数据是开展配电网运行方式优化、故障处理、线损计算等应用的重要基础,为提升配电网拓扑识别的可靠性和自动化水平,提出一种联合低频短时电流脉冲信号传输路径追溯和高频电力线载波测距的中压配电网拓扑识别方法,提出一种基于偶次谐波正弦波模板匹配的低频短时电流脉冲信号检测算法,具有明显的信号和噪声可分性优势,有效提高了信号检测可靠性。最后开展了试点应用,短时脉冲电流接收可靠性>95%,高频载波测距误差<5%,验证了配电网拓扑自动识别可行性和推广价值。

Accurate topology data is an important foundation for the optimization of distribution network operation mode,fault handling,line loss calculation and other applications.In order to improve the reliability and automation level of distribution network topology recognition,we proposed a medium-voltage distribution network topology identification method for joint low-frequency short-term current pulse signal transmission path tracing and high-frequency power line carrier based distance measurement;meanwhile,we proposed a low-frequency short-term current pulse signal detection algorithm based on even harmonic sine wave template matching.The signal detection algorithm has advantages of greater signal-to-noise ratio and thus can improve the reliability of signal detection effectively.Finally,a pilot application was carried out.The results show that the short-time pulse current receiving reliability is more than 95%,and the high-frequency carrier ranging error is less than 5%,which verifies the feasibility and promotion value of automatic topology identification of distribution network.