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基于日负荷曲线的用电模式提取与聚类分析

Daily load curve based power consumption mode extraction and clustering analysis

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【作者】 柳劲松王颖熊春晖雷兴陆超

【Author】 LIU Jinsong;WANG Ying;XIONG Chunhui;LEI Xing;LU Chao;Electric Power Research Institute, State Grid Shanghai Electric Power Company;Department of Electrical Engineering, Tsinghua University;Beijing Smart China Energy Internet Research Institute;

【通讯作者】 王颖;

【机构】 国网上海市电力公司电力科学研究院清华大学电机工程与应用电子技术系北京智中能源互联网研究院

【摘要】 更新仿真系统负荷模型参数是电力系统负荷建模的一个重要应用,为建立更为准确的负荷模型,分时分区的负荷建模思路是实现仿真系统负荷模型更新的有效途径和方案,本文聚焦负荷的分区建模,以不同类型用电设备日负荷曲线为基础,实现用电模式提取,并以提取所得用电模式为基向量,针对不同负荷节点或区域日负荷曲线进行分解,以分解所得负荷构成系数为聚类属性,实现负荷节点或区域的聚类分析,进而为系统仿真提供指导。基于实际用电数据的仿真结果验证了本文所提思路和方案的有效性。

【Abstract】 Updating the load models in simulation systems is one of the significant applications of load modeling. To establish accurate load models, the idea of load modeling in temporal and spatial dimensions offers an effective scheme to realize the update of load models in simulation systems. Focusing on load modeling in the spatial dimension, this paper achieves the power consumption mode extraction based on daily load curves of different electrical equipments. Further, the extracted power consumption modes are regarded as basis vectors to conduct load decomposition for load buses or areas, and then the decomposed coefficients are used as clustering features to achieve load clustering to provide guidance for system simulation. Finally, the analysis results of field daily load curves verify the effectiveness of the idea and scheme proposed in this paper.

【基金】 国网上海市电力公司科技项目(52094021N00B)
  • 【文献出处】 电工电能新技术 ,Advanced Technology of Electrical Engineering and Energy , 编辑部邮箱 ,2023年05期
  • 【分类号】TM714
  • 【下载频次】71
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