湖南电力 ›› 2026, Vol. 46 ›› Issue (5): 40-49.doi: 10.3969/j.issn.1008-0198.2026.05.006

• 电网运行与控制 • 上一篇    下一篇

计及数据轻量化与隐私保护的台区配电网分布式协同运行方法

郭子冉, 肖小龙, 陆晓星, 吕舒康, 谢文强, 郑仙   

  1. 国网江苏省电力有限公司电力科学研究院,江苏 南京 211100
  • 收稿日期:2026-06-26 修回日期:2026-08-17 发布日期:2026-11-06
  • 通信作者: 郭子冉(1999),硕士研究生,助理工程师,主要研究融合人工智能的智慧配电网技术。
  • 作者简介:肖小龙(1990),硕士研究生,高级工程师,从事电力调度、配电网运行研究工作。陆晓星(1997),硕士研究生,助理工程师,从事配电网源网荷储协同互动研究工作。
  • 基金资助:
    国网江苏省电力有限公司科技项目(J2025122); 国家科技重大专项项目(2025ZD0806700)

A Distributed Collaborative Operation for Distribution Networks Considering Data Lightweighting and Privacy Protection

GUO Ziran, XIAO Xiaolong, LU Xiaoxing, LÜ Shukang, XIE Wenqiang, ZHENG Xian   

  1. State Grid Jiangsu Electric Power Company Limited Research Institute, Nanjing 211100, China
  • Received:2026-06-26 Revised:2026-08-17 Published:2026-11-06

摘要: 针对台区配电网协同运行中的通信带宽受限及传输信息容易被窃取的问题,提出一种基于动态量化步长的轻量化安全传输通信信息的量化方法。基于物理-信息双层耦合的配电网架构,建立多资源协同优化模型;设计带误差反馈机制的动态随机量化器,通过量化传输数据来减少通信数据量,并利用量化器的随机性保证传输信息的隐私;为避免量化偏差引起稳态振荡,引入截断误差补偿机制,减小量化误差带来的影响。在此基础上,开发能够直接利用量化信息的分布式协同算法。江苏某地区台区配电网总线系统的运行结果表明,该算法能够在降低通信带宽与提高传输信息隐私性的同时,保证收敛至最优运行结果,实现通信带宽受限、隐私窃取攻击及间断性通信丢包等恶劣通信条件下的配电网分布式协同运行。

关键词: 台区配电网, 数据轻量化, 隐私保护, 电加热负荷, 一致性算法

Abstract: To address limited communication bandwidth and information eavesdropping risks in distribution network coordinated operation, this paper proposes a lightweight secure quantization-based transmission method with dynamic step sizes. Based on the cyber-physical coupled distribution network architecture, a multi-resource coordinated optimization model is established. A dynamic stochastic quantizer with error feedback is designed to reduce data volume via quantization and ensure transmission privacy through its inherent stochasticity. To mitigate steady-state oscillations induced by quantization deviation, a truncation error compensation mechanism is introduced, and a distributed coordinated algorithm directly processing quantized information is developed. Case studies conducted on a practical regional distribution network in Jiangsu Province demonstrate that the algorithm reduces bandwidth consumption and enhances privacy while guaranteeing convergence to optimal results, enabling reliable distributed coordination under bandwidth constraints, eavesdropping attacks, and intermittent communication packet loss scenarios.

Key words: distribution networks, data lightweighting, privacy protection, electric heating loads, consensus algorithm

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