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数据驱动的有源配电网运行态势智能感知方法

于淼 闫旻睿 万克厅 齐冬莲

电力建设2024,Vol.45Issue(7):34-53,20.
电力建设2024,Vol.45Issue(7):34-53,20.DOI:10.12204/j.issn.1000-7229.2024.07.004

数据驱动的有源配电网运行态势智能感知方法

Data-Driven Intelligent Situational Awareness of Active Distribution Networks

于淼 1闫旻睿 1万克厅 1齐冬莲1

作者信息

  • 1. 浙江大学电气工程学院,杭州市 310027
  • 折叠

摘要

Abstract

Situational awareness is an important method for ensuring secure,reliable,and economic operation of active distribution networks.Recently,with the development of electrical data acquisition and big data technologies,researchers have extensively studied the data-driven situational awareness of active distribution networks for various applications.This study analyzes the data-driven situational awareness problem of active distribution networks to provide an overall research framework.Relevant research was reviewed from four perspectives:situational perception,comprehension,projection,and orientation.In addition,research on situational awareness of an active distribution network cyber-physical system(CPS)was analyzed and discussed.Finally,this paper summarizes the existing methods,analyzes their shortcomings and challenges,and puts forward emphasis and directions for future research.

关键词

有源配电网/态势感知/数据驱动/信息物理系统

Key words

active distribution network/situational awareness/data-driven/cyber-physical system

分类

信息技术与安全科学

引用本文复制引用

于淼,闫旻睿,万克厅,齐冬莲..数据驱动的有源配电网运行态势智能感知方法[J].电力建设,2024,45(7):34-53,20.

基金项目

This work is supported by the National Natural Science Foundation of China(No.U1909201). 国家自然科学基金项目(U1909201) (No.U1909201)

电力建设

OA北大核心CSTPCD

1000-7229

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