[1]邹晓峰,吴大鹏,黄亮亮,等. 基于强化学习的10 kV 架空线路多层级FA自适应保护方法[J].机械与电子,2026,44(03):83-90.
　ZOU Xiaofeng,WU Dapeng,HUANG Liangliang,et al. A Multi-level FA Adaptive Protection Method for 10 kV Overhead Lines Based on Reinforcement Learning[J].Machinery & Electronics,2026,44(03):83-90.
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 基于强化学习的10 kV 架空线路多层级FA自适应保护方法()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
44
期数:
2026年03期
页码:
83-90
栏目:
电力控制
出版日期:
2026-03-25

文章信息/Info

Title:
 A Multi-level FA Adaptive Protection Method for 10 kV Overhead Lines Based on Reinforcement Learning
文章编号:
1001-2257(2026)03-0083-08
作者:
 邹晓峰1; 吴大鹏1; 黄亮亮2; 陈建磊2; 温彦军3; 袁 峰3
(1.国网上海市电力公司,上海 200437;2.上海金智晟东电力科技有限公司,上海 200233;
3.江苏金智科技股份有限公司,江苏 南京 211100)
Author(s):
 ZOU Xiaofeng1; WU Dapeng1; HUANG Liangliang2; CHEN Jianlei2; WEN Yanjun3; YUAN Feng3
(1.State Grid Shanghai Electric Power Co.,Ltd.,Shanghai 200437,China;
2.Shanghai Wiscom Sunest Electric Power Technology Co.,Ltd.,Shanghai 200233,China;
3.Wiscom System Co.,Ltd.,Nanjing 211100,China)
关键词:
 ; 强化学习; 馈线自动化; 多层级保护; 自适应保护; 三级级差保护
Keywords:
reinforcement learning; feeder automation (FA); multi level protection; adaptive protection; three stage differential protection
分类号:
TM75
文献标志码:
A
摘要:
 为解决10 kV架空线路多层级FA自适应保护问题,提出一种结合Q 学习及深度Q 网络的强化学习算法与馈线自动化功能的自适应保护方法。该方法以无线通信信号质量为输入,自愈模式选择为输出,通过强化学习算法自主学习通信质量与FA 模式之间的最优映射关系。基于上海电力公司架空线路配置原则,构建了变电站出线开关或主干线首端开关、一级分支线首端开关和用户分界开关的三级级差保护体系。提出了基于通信质量的自适应学习率调整机制和考虑故障隔离时间、供电恢复时间和停电用户数的多目标奖励函数。仿真结果表明,该方法相比传统固定模式方法,在通信质量较差时故障隔离时间缩短35.3%,恢复时间缩短42.7%,成功率提高43.0百分点,有效提升了架空线路FA 系统的自适应能力和可靠性。
Abstract:
  To solve the adaptive protection problem of multi level Feeder Automation (FA) for 10 kV overhead lines,an adaptive protection method is proposed that integrates reinforcement learning algorithms (Q learning and Deep Q Network) with FA functions.This method utilizes wireless communication signal quality as the input,and self healing mode selection as the output,enabling it to autonomously learn the optimal mapping relationship between communication quality and FA modes through the reinforcement learning algorithm.Based on the configuration principles of overhead lines in Shanghai Electric Power Company,a three stage differential protection system is constructed,comprising the substation outlet switch/main line head end switch,primary branch line head end switch,and customer boundary switch.An adaptive learning rate adjustment mechanism based on communication quality is proposed,along with a multi objective reward function that considers fault isolation time,power supply restoration time,and the number of affected customers.Simulation results show that,compared to the traditional fixed mode method,the proposed method reduces fault isolation time by 35.3% and restoration time by 42.7% when the communication quality is poor,while increasing the success rate by 43.0 percentage points.This effectively enhances the adaptive capability and reliability of the overhead lines FA system.

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备注/Memo

备注/Memo:
 收稿日期:2025-11-25
基金项目:上海市科学技术委员会科技项目(23DZ1201200)
作者简介:邹晓峰 (1985-),男,江苏东台人,硕士,高级工程师,研究方向为配电自动化;吴大鹏 (1991-),男,山东枣庄人,硕士,高级工程师,研究方向为配电自动化。
更新日期/Last Update: 2026-04-29