谢志远, 陈冠宇, 胡正伟. 一种基于电力线通信的高可靠自适应台区拓扑结构识别策略[J]. 电力信息与通信技术, 2025, 1(1): 10-17. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.01.02
引用本文: 谢志远, 陈冠宇, 胡正伟. 一种基于电力线通信的高可靠自适应台区拓扑结构识别策略[J]. 电力信息与通信技术, 2025, 1(1): 10-17. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.01.02
XIE Zhiyuan, CHEN Guanyu, HU Zhengwei. A Highly Reliable Adaptive Distribution Transformer Area Topology Identification Strategy Based on Power Line Communication[J]. Electric Power Information and Communication Technology, 2025, 1(1): 10-17. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.01.02
Citation: XIE Zhiyuan, CHEN Guanyu, HU Zhengwei. A Highly Reliable Adaptive Distribution Transformer Area Topology Identification Strategy Based on Power Line Communication[J]. Electric Power Information and Communication Technology, 2025, 1(1): 10-17. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.01.02

一种基于电力线通信的高可靠自适应台区拓扑结构识别策略

A Highly Reliable Adaptive Distribution Transformer Area Topology Identification Strategy Based on Power Line Communication

  • 摘要: 准确识别低压配电台区的拓扑结构对掌握电网用户端设备的运行状况、设备信息和用电量信息具有重要作用。基于电力线载波通信的低压配电网台区拓扑结构识别方法可以节省资源,并精准收集用户侧的信息。文章提出了一种基于电力线通信的OFDM可用子载波数量自适应动态调整的策略对台区拓扑结构进行识别,首先估计信道状态,对于可靠通信节点,按估计结果分配给各子载波功率;对于不可靠节点,通过轮询方式依次对子载波信道状态估计,选择所有可用子载波并结合功率分配算法进行功率分配,尝试与台区终端通信。如果通信成功,系统将进入正常通信状态,如果通信不成功,关闭信道状态最差的子载波,逐次减少可用子载波数量,直至找到可行的通信方案。最后基于OPNET平台验证了所提方法的有效性,该方法在提高系统整体传输性能的同时确保了台区拓扑识别的准确性。

     

    Abstract: Accurately identifying the topology structure of the low-voltage distribution transformer area plays an important role in understanding the operation status, equipment information, and electricity consumption information of the electricity customer end equipment. The topology identification method of low-voltage distribution transformer area based on power line carrier communication can save resources and accurately collect user side information. This paper proposes a strategy for adaptively dynamically adjusting the number of available subcarriers in OFDM based on power line communication to identify the topology of the distribution transformer area. Firstly, the channel state is estimated, and for reliable communication nodes, power is allocated to each subcarrier according to the estimation results; For unreliable nodes, the subcarrier channel state is estimated sequentially through polling, and all available subcarriers are selected and power allocation algorithms are used for power allocation, attempting to communicate with the station terminal. If the communication is successful, the system will enter a normal communication state. If communication is unsuccessful, gradually reduce the number of subcarriers and close the subcarrier with the worst channel state until a feasible communication solution is found. The effectiveness of the proposed method is verified based on the OPNET platform, which ensures the accuracy of topology identification while improving the overall transmission performance of the system.

     

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