电力系统态势感知技术研究综述与展望

刘晟源; 林振智; 李金城; 赵昱宣; 章博; 杨莉

doi:10.7500/AEPS20190402008

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电力系统态势感知技术研究综述与展望

综述 | 更新时间：2025-06-16

- 电力系统态势感知技术研究综述与展望
- Review and Prospect of Situation Awareness Technologies of Power System
- 电力系统自动化-方正平台 2020年44卷第3期页码：229-239
- 作者机构：
  
  浙江大学电气工程学院,浙江省杭州市 310027
- 作者简介：
  
  刘晟源(1995—)，男，博士研究生，主要研究方向：电力系统态势感知、电力大数据分析。E-mail：eelsy@zju.edu.cn
  林振智(1979—)，男，通信作者，博士，副教授，博士生导师，主要研究方向：电力系统态势感知、电力大数据挖掘与人工智能应用、电力系统恢复（黑启动）与应急、电力市场与需求侧管理、综合能源系统的规划与运行电力系统分析。E-mail：linzhenzhi@zju.edu.cn
  李金城(1995—)，男，硕士研究生，主要研究方向：电力市场与电力经济、可再生能源配额制。E-mail：zdljc@zju.edu.cn
- 基金信息：
  
  国家重点研发计划资助项目(2016YFB0900100);国家自然科学基金资助项目(51777185);中央高校基本科研业务费专项资金资助项目(2019QNA4023)
- DOI：10.7500/AEPS20190402008
  中图分类号：
- 收稿日期：2019-04-02，
  
  修回日期：2019-09-08，
  
  网络出版日期：2019-11-30，
  
  纸质出版日期：2020-03-25
- 稿件说明：
移动端阅览
刘晟源,林振智,李金城等.电力系统态势感知技术研究综述与展望[J].电力系统自动化,2020,44(03):229-239.

LIU Shengyuan,LIN Zhenzhi,LI Jincheng,et al.Review and Prospect of Situation Awareness Technologies of Power System[J].Automation of Electric Power Systems,2020,44(03):229-239.
刘晟源,林振智,李金城等.电力系统态势感知技术研究综述与展望[J].电力系统自动化,2020,44(03):229-239. DOI： 10.7500/AEPS20190402008.

LIU Shengyuan,LIN Zhenzhi,LI Jincheng,et al.Review and Prospect of Situation Awareness Technologies of Power System[J].Automation of Electric Power Systems,2020,44(03):229-239. DOI： 10.7500/AEPS20190402008.

摘要

态势感知概念最早在太空和网络安全领域被提出，并被引入电力系统领域，近年来国内外学者对态势感知在电力系统的应用进行了广泛讨论。在此背景下，将电力系统实时运行状态辨识、发展趋势预测、态势可视化技术分别与Endsley定义的态势感知中的三大要素——“觉察”“理解”“预测”相映射，并将电力系统广域控制与风险调度对应于态势感知中的“决策行动”。接着，将上述内容依次展开，分别对电力系统事件监测、电力系统事件辨识、电力系统风险预测、态势可视化技术、广域控制和风险调度分别进行综述和分析，介绍现有方法的思路。最后，给出电力系统输电网态势感知目前研究的不足，指出人工智能和大数据技术是未来解决电力系统态势感知的研究方向。

Abstract

The concept of situation awareness was first proposed in the fields of space and cyber security

and then involved in the field of power systems. In recent years

the global scholars have extensively discussed the application of situation awareness technologies in power systems. In this background

the real-time operation state identification

the operation trend prediction

and the situation visualization technologies of power systems are respectively mapped to the three elements of situation awareness defined by Endsley (i.e. “perception”

“comprehension”

and “prediction”). And the wide-area control and risk dispatching are mapped to the “decision action” in situation awareness. The event detection

event identification

risk prediction

situation visualization technology

wide-area control

and risk dispatching of power systems are reviewed and analyzed. The ideas of existing methods are described. Finally

the deficiencies of existing research on situation awareness of power transmission systems are pointed out

and the artificial intelligence and big data technologies are regarded as the future research direction to solve the issues in situation awareness of power systems.

关键词

Keywords

references

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