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配电网保护装置自适应迭代学习控制技术

宁连旭 许继源 李蔷薇 陈潇跃 李颖

机械与电子2024,Vol.42Issue(8):34-39,6.
机械与电子2024,Vol.42Issue(8):34-39,6.

配电网保护装置自适应迭代学习控制技术

Adaptive Iterative Learning Control Technology for Distribution Network Protection Devices

宁连旭 1许继源 2李蔷薇 3陈潇跃 2李颖2

作者信息

  • 1. 山西长平煤业有限责任公司,山西 晋城 048411
  • 2. 佛山市华易科技有限公司,广东 佛山 528100
  • 3. 晋城乾泰安全技术有限责任公司,山西晋城 048006
  • 折叠

摘要

Abstract

In response to the complex structure of distribution network protection devices,existing control technologies have limitations in convergence of control results and error control.A self-adaptive iterative learning control technology for distribution network protection devices is proposed.Graph theory principles are used to analyze and optimize the design of distribution networks,by decomposing complex distribution network structures and simplifying them into simpler forms.Iterative learning control and a-daptive iterative learning control theory are combined to improve and optimize the protection device of the distribution network.The k-means clustering method is used to partition and integrate data with similar optimal compensation capabilities,and the compensation capacity was adjusted to meet the maximum num-ber of switching constraints.A control model based on the convergence proof function of adaptive iterative learning control is constructed to achieve progressive tracking of distribution network protection devices.The experimental results show that this technology has small error and can effectively iterate learning con-trol for encryption function,protection function,and topology adaptive measurement points.

关键词

在线解耦/配电网自适应保护装置/自适应迭代/学习控制

Key words

online decoupling/adaptive protection device for distribution network/adaptive iteration/learning control

分类

信息技术与安全科学

引用本文复制引用

宁连旭,许继源,李蔷薇,陈潇跃,李颖..配电网保护装置自适应迭代学习控制技术[J].机械与电子,2024,42(8):34-39,6.

机械与电子

OACSTPCD

1001-2257

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