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智能电力设备关键技术及运维探讨
作者:
作者单位:

华北电力大学电气与电子工程学院,河北省保定市 071003

摘要:

当前电网对部分输电设备引入了基于代理的状态监测管理模式,但该模式存在单点故障安全隐患且严重依赖通信的高可靠性,分布广泛的配电设备也并不适用于此模式。即当前电力设备只执行功能不具备“智慧”,无法实现状态智能感知,不符合能源互联网需求。为此,阐述了“智能电力设备”概念,并全面详述了其智慧功能,包括自我传感、自我告警、自我状态分析、健康状态评估以及自我保护。该设备管理模式基于电力设备对自身的智能感知、状态分析与健康管理,使其具备自主思维,成为可与外界智能交互的独立个体,实现对设备的高效全面感知,适应电网智能感知与灵活运维的要求。此外,研究了支撑该模式的关键技术,包括传感技术、故障预测算法、故障诊断算法、设备退化模型、健康评估方法、通信方式与传输协议。最后,讨论了智能电力设备的运维管理。

关键词:

基金项目:

国家自然科学基金资助项目(51807063)。

通信作者:

作者简介:

赵仕策(1994—),男,博士研究生,主要研究方向:电力系统分析与控制。E-mail:zscsysut@163.com
赵洪山(1965—),男,通信作者,博士,教授,博士生导师,主要研究方向:智能电网的控制理论与控制方法、电力设备状态监测、故障预估与故障诊断方法、智能电网资产优化管理。E-mail:Zhaohshcn@126.com
寿佩瑶(1997—),女,硕士研究生,主要研究方向:主动配电网。E-mail:xnshoupeiyao@163.com


Discussion on Key Technology and Operation & Maintenance of Intelligent Power Equipment
Author:
Affiliation:

School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China

Abstract:

At present, the power grid introduces an agent based state monitoring management mode for some transmission equipment. However, this mode has a safety risk of single point failure and relies heavily on the high reliability of communication, which is not suitable for power distribution equipment widely distributed. That is, the power equipment currently still only performs functions without ‘intelligence’, which cannot realize intelligent perception of state, and does not meet the requirements of Energy Internet. To this end, the concept of ‘intelligent power equipment’ is elaborated, and its intelligent functions are comprehensively detailed, including self-sensing, self-alarming, self-state analysis, assessment of state of health, and self-protection. This equipment management mode is based on the intelligent perception, state analysis, and health management of the power equipment to operate autonomously and become an independent unit that can intelligently interact with the external environment. It realizes the efficient and comprehensive perception of power equipment, and adapts to the requirements of intelligent perception and flexible operation & maintenance of the power grid. In addition, the key technologies supporting this mode are studied, including sensing technologies, fault prediction algorithms, fault diagnosis algorithms, equipment degradation models, health assessment methods, communication methods and transmission protocols. Finally, the operation & maintenance management of the intelligent power equipment is discussed.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 51807063).
引用本文
[1]赵仕策,赵洪山,寿佩瑶.智能电力设备关键技术及运维探讨[J].电力系统自动化,2020,44(20):1-10. DOI:10.7500/AEPS20200303004.
ZHAO Shice, ZHAO Hongshan, SHOU Peiyao. Discussion on Key Technology and Operation & Maintenance of Intelligent Power Equipment[J]. Automation of Electric Power Systems, 2020, 44(20):1-10. DOI:10.7500/AEPS20200303004.
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  • 收稿日期:2020-03-03
  • 最后修改日期:2020-05-27
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  • 在线发布日期: 2020-10-16
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