基于IEC 61850的主动配电网故障自恢复多代理系统

LIU Dandan

您当前的位置：

首页 >

文章列表页 >

基于IEC 61850的主动配电网故障自恢复多代理系统

更新时间：2025-08-13

- 基于IEC 61850的主动配电网故障自恢复多代理系统
- Automation of Electric Power Systems Vol. 39, Issue 9, Pages: 119-126(2015)
- 作者机构：
  
  智能计算与信息处理教育部重点实验室，湘潭大学,湖南省,湘潭市,411105
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
LIU Dandan. [J]. Automation of electric power systems, 2015, 39(9): 119-126.
DOI：

LIU Dandan. [J]. Automation of electric power systems, 2015, 39(9): 119-126. DOI：

摘要

鉴于分布式能源（DER）在电力系统中的渗透率不断上升，可孤岛运行的DER对配电网馈线故障及恢复供电有新的影响，为此提出一种基于IEC 61850的主动配电网(ADN)故障自恢复多代理系统（MAS）。该MAS由部署在馈线分段开关上的领导代理和馈线其他元件上的成员代理组成。重点基于IEC 61850的信息模型研究了自治区域代理之间的功能布局和通信流程，故障区域通过代理之间的通信与协商完成故障定位、隔离和供电恢复。MAS考虑了ADN架构和各区域负荷供电特性，并顾及与IEC 61850在ADN中的兼容性和适用性。仿真结果表明所提MAS满足ADN中各设备之间的互操作性和可配置性，确保ADN供电恢复的可靠性和安全性。

Abstract

In view of the increasing penetration rate of the distributed energy resource (DER) in the power system

while DER operated in island mode has a new effect on fault self-recovery of distribution network feeder

a multi-agent system (MAS) for fault self-recovery of distribution systems in the active distribution network (ADN) based on IEC 61850 is proposed. The MAS is composed of leader agents deployed in sectionalized switches of the feeder and member agents deployed in other components of the feeder. Based on the information model of IEC 61850

mainly the function layout and communication process between agents in the autonomous region are studied

with the fault location

isolation and supply restoration in the breakdown region accomplished through communication and negotiation between agents. The MAS not only takes into account the framework of ADN and the characteristics of load power supply in each section

but also gives considerations to the compatibility and practicality of IEC 61850 used in ADN. As illustrated in the simulation results

the proposed MAS satisfies the demand of interoperability and configurability in ADN so that the reliability and security of ADN power restoration is guaranteed. This work is supported by National Natural Science Foundation of China (No. 61170191

No. 61379063).

关键词

Keywords

references

Views

3912

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-agent Game Collaborative Optimization Strategy for Active Distribution Networks Based on Federated Reinforcement Learning

Hierarchical and Classified Aggregation Method with Embedded Regulation Targets for Regulation Capability of Distributed Energy Resources

Robust Coordinated Restoration Scheduling for Cyber-Physical Distribution Network Based on Wireless Field Area Networks

Coordinated Optimal Scheduling of Transmission and Distribution Networks Based on Multiple Agents and Improved Target Cascading Method

Related Author

YANG Wenwei

PENG Xiangang

QUAN Huan

CHU Zhuozhuo

WANG Xinghua

ZHAO Zhuoli

YANG Yilong

FAN Shuai

Related Institution

College of Automation, Guangdong University of Technology

School of Electric Power Engineering, South China University of Technology

Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University)

Shanghai Non-carbon Energy Conversion and Utilization Institute

State Grid Shanghai Jiading Electric Power Company

⁰