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计及乡村用能特性的综合能源系统弱通信环境下分布式优化运行方法

徐明健 李彬贤 李佳勇 周柯 张聪 朱利鹏

电力系统保护与控制2026,Vol.54Issue(17):1-12,12.
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电力系统保护与控制2026,Vol.54Issue(17):1-12,12.DOI:10.19783/j.cnki.pspc.260018

计及乡村用能特性的综合能源系统弱通信环境下分布式优化运行方法

Distributed optimal operation of integrated energy systems in weak communication environments considering rural energy consumption characteristics

徐明健 1李彬贤 1李佳勇 1周柯 1张聪 1朱利鹏1

作者信息

  • 1. 湖南大学电气与信息工程学院,湖南 长沙 410082
  • 折叠

摘要

Abstract

To address the challenges of complex load characteristics,weak communication infrastructure,and urgent privacy protection requirements in rural integrated energy systems,this paper proposes a distributed optimal operation method under weak communication environments that accounts for rural energy consumption characteristics.First,the physical mechanisms of typical rural scenarios are analyzed to construct physics-driven refined load models and a cooperative dispatch architecture for interconnected micro-energy networks.Second,a robust differential privacy alternating direction method of multipliers(ADMM)integrating an event-triggered mechanism and hybrid momentum compensation is proposed.This method reduces data transmission through event-triggering,utilizes momentum extrapolation for packet loss compensation,and introduces a dynamic decaying noise mechanism to balance privacy security with solution precision.Case studies demonstrate that the proposed method effectively exploits the mutual assistance potential between regions,reduces communication overhead while ensuring convergence accuracy and privacy security,and achieves economic and efficient system operation under weak communication environments.

关键词

乡村互联微能网/物理驱动负荷建模/弱通信环境/分布式优化/事件触发/差分隐私

Key words

rural interconnected micro-energy networks/physics-driven load modeling/weak-communication environment/distributed optimization/event-triggered mechanism/differential privacy

引用本文复制引用

徐明健,李彬贤,李佳勇,周柯,张聪,朱利鹏..计及乡村用能特性的综合能源系统弱通信环境下分布式优化运行方法[J].电力系统保护与控制,2026,54(17):1-12,12.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52377184 and No.52377095). 国家自然科学基金项目资助(52377184,52377095) (No.52377184 and No.52377095)

湖南省科技创新计划项目资助(2023RC3114,2024RC3110,2025RC1023) (2023RC3114,2024RC3110,2025RC1023)

电力系统保护与控制

1674-3415

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