| 引用本文: | 李炳森,王成山,朱介北,等.基于物联网的低压配电二次系统灵活自组网通信技术研究[J].电力系统保护与控制,2025,53(17):114-121.[点击复制] |
| LI Bingsen,WANG Chengshan,ZHU Jiebei,et al.Research on flexible self-organizing network communication technology for low voltage distribution secondary systems based on the internet of things[J].Power System Protection and Control,2025,53(17):114-121[点击复制] |
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| 摘要: |
| 为解决低压配电二次系统通信瓶颈问题，提出了基于物联网的灵活自组网通信架构，通过三阶段技术链实现高效通信。首先，在网络初始化阶段，采用分层扫描与时间序列分析方法，构建覆盖拓扑结构、信道质量与时延特性的通信参数数据库，精准识别网络盲点并优化中继节点空间分布。在此基础上，提出了改进型蚁群优化算法，引入局部搜索策略避免局部最优陷阱，设计动态信息素更新机制，结合时延、能耗与带宽等多目标约束条件，实现最优通信路径的快速搜索。同时，为提升抗干扰能力，融合边缘计算与信道状态感知技术，建立噪声环境下的自适应路由策略。通过实时反馈调整路径权重，在较强噪声干扰强度下，仍能维持较高的有效数据传输率。最后，实验验证表明：所提技术线路组网复杂度低、优化消耗时间短和抗干扰能力强，成功应用于配电台区状态感知与智能控制，为新型电力系统海量终端接入提供了低时延、高可靠的通信解决方案。 |
| 关键词: 低压配电二次系统 物联网 灵活自组网 蚁群优化算法 网络初始化 抗干扰能力 异构终端接入 路径优化 |
| DOI：10.19783/j.cnki.pspc.241700 |
| 投稿时间：2024-12-19修订日期：2025-04-20 |
| 基金项目:国家重点研发计划项目资助(2018YFA0702200)“分布式信息能源系统的智能进化机理和设计”；国家电网公司总部科技项目资助(5400-202099526A-0-0-00)“面向配电二次设备物联的开放式通信组网技术研究与应用” |
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| Research on flexible self-organizing network communication technology for low voltage distribution secondary systems based on the internet of things |
| LI Bingsen1,2,WANG Chengshan1,ZHU Jiebei1,AI Qian3,LIU Jian4,LI Peng1,ZHANG Dongxia5 |
| (1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China; 2. State Grid Information &
Telecommunication Group Co., Ltd., Beijing 102211, China; 3. School of Electronic Information and Electrical Engineering,
Shanghai Jiao Tong University, Shanghai 200240, China; 4. Electric Power Research Institute, State Grid Shaanxi Electric
Power Company, Xi’an 710054, China; 5. China Electric Power Research Institute, Beijing 100192, China) |
| Abstract: |
| To solve the communication bottleneck problem of low-voltage distribution secondary systems, a flexible self-organizing network communication architecture based on the internet of things is proposed, which achieves efficient communication through a three-stage technology chain. Firstly, during the network initialization phase, a communication parameter database covering topology, channel quality, and latency characteristics is constructed using layered scanning and time series analysis methods. This database accurately identifies network blind spots and optimizes the spatial distribution of relay nodes. On this basis, an improved ant colony optimization algorithm is proposed, introducing a local search strategy to avoid local optimal traps, designing a dynamic pheromone update mechanism, and combining multi-objective constraints such as delay, energy consumption, and bandwidth to achieve fast search for the optimal communication path. At the same time, in order to improve the anti-interference ability, edge computing and channel state awareness technology are integrated to establish an adaptive routing strategy in noisy environments. Through real-time feedback, path weight is adjusted to maintain a high effective data transmission rate under strong noise interference. In the end, experimental verification shows that the proposed technology has low network complexity, short optimization time, and strong anti-interference ability. It has been successfully applied to the state awareness and intelligent control of distribution stations, providing a low latency and high reliability communication solution for the massive terminal access to new power systems. |
| Key words: low voltage distribution secondary system internet of things flexible self-organizing network ant colony optimization algorithm network initialization anti-interference ability heterogeneous terminal access path optimization |
