葛磊蛟, 李元良, 陈艳波, 崔庆雪, 马丛淦. 智能配电网态势感知关键技术及实施效果评价[J]. 高电压技术, 2021, 47(7): 2269-2280. DOI: 10.13336/j.1003-6520.hve.20210437
引用本文: 葛磊蛟, 李元良, 陈艳波, 崔庆雪, 马丛淦. 智能配电网态势感知关键技术及实施效果评价[J]. 高电压技术, 2021, 47(7): 2269-2280. DOI: 10.13336/j.1003-6520.hve.20210437
GE Leijiao, LI Yuanliang, CHEN Yanbo, CUI Qingxue, MA Conggan. Key Technologies of Situation Awareness and Implementation Effectiveness Evaluation in Smart Distribution Network[J]. High Voltage Engineering, 2021, 47(7): 2269-2280. DOI: 10.13336/j.1003-6520.hve.20210437
Citation: GE Leijiao, LI Yuanliang, CHEN Yanbo, CUI Qingxue, MA Conggan. Key Technologies of Situation Awareness and Implementation Effectiveness Evaluation in Smart Distribution Network[J]. High Voltage Engineering, 2021, 47(7): 2269-2280. DOI: 10.13336/j.1003-6520.hve.20210437

智能配电网态势感知关键技术及实施效果评价

Key Technologies of Situation Awareness and Implementation Effectiveness Evaluation in Smart Distribution Network

  • 摘要: 智能配电网态势感知技术是智能配电网状态可观测性提升与系统稳定运行的重要保障。然而在实际应用过程中因场景差异性较大和实施效果的有效定量分析方法缺失,常出现其难以完成对突发事件的智能快速响应。为此,从配电网高效运维的角度阐述并分析了智能配电网态势感知及实施效果评价的涵义、框架和关键技术。首先,介绍了智能配电网态势感知技术的内涵、框架和挑战;其次,从配电网精益化运维的视角深入阐述了智能配电网态势感知在态势觉察、态势理解和态势预测等3个阶段中各自主要的关键技术;最后,为实现对差异化场景下配电网态势感知实施效果的科学评价,考虑配电网运行数据质量现状与主客观评估的模糊性,从指标体系和赋权方法2个方面阐述了智能配电网态势感知实施效果评价的关键技术内容和发展趋势,并分析归纳了自学习评价技术的框架和理念,以期为智能配电网态势感知推广应用提供一定的评判标准,也为配电网智能调控的实现提供有力的技术支撑。

     

    Abstract: The situation awareness (SA) of smart distribution network (SDN) is a vital guarantee for the observability improvement and stable operation of SDN. However, due to the great difference of scenes and the lack of appropriate quantitative analysis method of the SA implementation effectiveness, SA is often difficult to meet the actual application requirements of rapidly responding to emergencies in SDN. We analyze the meaning, framework, and key technologies of SA in SDN and the effectiveness evaluation from the perspective of efficient operation. Firstly, the connotation, framework, and challenges of SA in SDN are introduced. Secondly, the key technologies of SA in SDN in the three stages of situation perception, situation assessment, and situation prediction are explained from the perspective of meticulous operation of SDN. Finally, to achieve a scientific evaluation of SA effectiveness of SDN, considering the quality of the SDN operation data and the ambiguity of subjective and objective evaluation, we describe the key technical content and development trend of the implementation effectiveness evaluation of SA in SDN from the indicator system and the weighting method, and analyze the framework and concept of self-learning evaluation technology. It is expected to provide specific criteria for the promotion and application of SA in SDN, and provide strong technical support for intelligent control of SDN.

     

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