文章摘要
刘晟源,林振智,李金城,等.电力系统态势感知技术的研究综述与展望[J].电力系统自动化. DOI: 10.7500/AEPS20190402008.
LIU Shengyuan,LIN Zhenzhi,LI Jincheng, et al.Review and Prospect of Technologies of Situation Awareness of Power Systems[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20190402008.
电力系统态势感知技术的研究综述与展望
Review and Prospect of Technologies of Situation Awareness of Power Systems
DOI:10.7500/AEPS20190402008
关键词: 态势感知  事件监测  事件辨识  风险预测  态势可视化  广域控制  风险调度
KeyWords: situation awareness  event detection  event identification  risk prediction  situation visualization  wide-area control  risk dispatching
上网日期:2019-11-30
基金项目:国家重点研发计划,国家自然科学基金,浙江省自然科学基金
作者单位E-mail
刘晟源 浙江大学 电气工程学院 eelsy@zju.edu.cn 
林振智 浙江大学 电气工程学院 zhenzhi.lin@gmail.com 
李金城 浙江大学 电气工程学院 zdljc@zju.edu.cn 
赵昱宣 浙江大学 电气工程学院 yuxuanzhao@aliyun.com 
章博 浙江大学 电气工程学院 1078788465@qq.com 
杨莉 浙江大学 电气工程学院 eeyangli@zju.edu.cn 
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. Given 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.
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