杨燕, 王云, 胡熊伟, 纪平, 董樑, 陈罡, 金欣晨, 陈海滨. 基于5G无线通信的可中断负荷快速响应系统[J]. 电力信息与通信技术, 2024, 22(10): 83-89. DOI: 10.16543/j.2095-641x.electric.power.ict.2024.10.12
引用本文: 杨燕, 王云, 胡熊伟, 纪平, 董樑, 陈罡, 金欣晨, 陈海滨. 基于5G无线通信的可中断负荷快速响应系统[J]. 电力信息与通信技术, 2024, 22(10): 83-89. DOI: 10.16543/j.2095-641x.electric.power.ict.2024.10.12
YANG Yan, WANG Yun, HU Xiongwei, JI Ping, DONG Liang, CHEN Gang, JIN Xinchen, CHEN Haibin. Interruptible Load Fast Response System Based on 5G Wireless Communication[J]. Electric Power Information and Communication Technology, 2024, 22(10): 83-89. DOI: 10.16543/j.2095-641x.electric.power.ict.2024.10.12
Citation: YANG Yan, WANG Yun, HU Xiongwei, JI Ping, DONG Liang, CHEN Gang, JIN Xinchen, CHEN Haibin. Interruptible Load Fast Response System Based on 5G Wireless Communication[J]. Electric Power Information and Communication Technology, 2024, 22(10): 83-89. DOI: 10.16543/j.2095-641x.electric.power.ict.2024.10.12

基于5G无线通信的可中断负荷快速响应系统

Interruptible Load Fast Response System Based on 5G Wireless Communication

  • 摘要: 配电网控制系统面临数据信息在核心网络转发中,通信数据包丢失率高和累积时延长的问题,使得电力负荷难以精确控制,鉴于5G通信能够有效承载电力负荷智能精准化调控业务,文章提出了基于5G无线通信的可中断负荷快速响应系统。该系统通过5G技术实现主站、子站与切负荷终端的信息传输,系统的精准中断负荷方法融合了中断最小负荷容量、中断响应时效和SVM负荷容量预测,有效满足了电力精准负荷控制处理的灵活性和扩展性。

     

    Abstract: The distribution network control system faces challenges due to a high rate of communication packet loss and long cumulative time delays in forwarding data within the core network, making it difficult to accurately control power loads. To tackle these issues, this paper proposes a fast response system for interruptible loads based on 5G wireless communication, leveraging its effectiveness in enabling intelligent and precise regulation and control of power loads. This system utilizes 5G technology for information transmission between the master station, slave station, and load cutting terminal. Furthermore, it integrates minimum interrupt load capacity, interrupt response time, and SVM load capacity prediction to achieve accurate load interruption, effectively meeting the demands for flexibility and scalability in precise power load control processing.

     

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