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电力系统态势感知技术研究综述与展望
作者:
作者单位:

浙江大学电气工程学院,浙江省 杭州市 310027

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。

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基金项目:

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)。

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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


Review and Prospect of Situation Awareness Technologies of Power System
Author:
Affiliation:

College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

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.

Keywords:

Foundation:
This work is supported by National Key R&D Program of China (No. 2016YFB0900100), National Natural Science Foundation of China (No. 51777185) and the Fundamental Research Funds for the Central Universities (No. 2019QNA4023).
引用本文
[1]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(3):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(3):229-239. DOI:10.7500/AEPS20190402008.
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  • 收稿日期:2019-04-02
  • 最后修改日期:2019-09-08
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  • 在线发布日期: 2020-02-14
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