计及多属性参量的配电网负荷可视化技术研究

刘理峰; 章剑光; 林海峰; 张永建; 张宇波; 熊天雨

刘理峰,章剑光,林海峰,张永建,张宇波,熊天雨.计及多属性参量的配电网负荷可视化技术研究[J].电测与仪表,2023,60(5):132-138.
Liu Lifeng,Zhang Jianguang,Lin Haifeng,Zhang Yongjian,Zhang Yubo,Xiong Tianyu.Research on load visualization technology of distribution network considering multi-attribute parameters[J].Electrical Measurement & Instrumentation,2023,60(5):132-138.

计及多属性参量的配电网负荷可视化技术研究

Research on load visualization technology of distribution network considering multi-attribute parameters

DOI：10.19753/j.issn1001-1390.2023.05.019

中文关键词: 负荷断面气泡图多属性参量负荷聚类可视化

英文关键词:load section, bubble chart, multi-attribute parameters, load clustering, visualization

基金项目:

作者中文名	作者英文名	单位
刘理峰	Liu Lifeng	国网浙江省电力有限公司绍兴供电公司，浙江绍兴 312300
章剑光	Zhang Jianguang	国网浙江省电力有限公司绍兴供电公司，浙江绍兴 312300
林海峰	Lin Haifeng	国网浙江省电力有限公司绍兴供电公司，浙江绍兴 312300
张永建	Zhang Yongjian	国网浙江省电力有限公司绍兴供电公司，浙江绍兴 312300
张宇波	Zhang Yubo	重庆大学输配电装备及系统安全与新技术国家重点实验室，重庆 400044
熊天雨	Xiong Tianyu	重庆大学输配电装备及系统安全与新技术国家重点实验室，重庆 400044

摘要点击次数: 838

中文摘要:

随着电力负荷多元化特征的发展，传统的可视化技术难以有效分析和展示电网的负荷断面数据。文章提出了一种以气泡图形式，融合多属性参量展示配网断面负荷的可视化方法，进一步分析了负荷点类型的分布规律。定性分析可视化的数据对象，利用标准差法清洗异常负荷值，并利用主成分分析赋权法对清洗后的负荷、地理信息赋权。为得到负荷点的类别标签，将赋权结果输入MiniBatch-Kmeans算法进行聚类。为可视化配网的运行态势，在实例中将负荷、地理、时间、ID四个属性信息以动态气泡图展示并与传统负荷热力图进行对比。结果表明，文章提出的可视化方法可反映更多的电网运行状态信息，通过展示多参量数据来反映负荷的分布规律和发展规律，可提高调度人员对配网运行数据的感知能力。

英文摘要:

With the emergence of power load diversification, the traditional visualization technology is difficult to effectively analyze and display the load section data of the power grid. In this paper, a visualization method is proposed to show the sectional load of distribution network in the form of bubble diagram with multi-attribute parameters, which further strengthens the analysis of the distribution law of load types. Firstly, qualitative analysis of visual data objects are conducted, and the outliers of section load are cleaned by standard deviation method, and the load information and geographic information after cleaning are weighted by PCA method. Then, the weighted results are input into the MiniBatch-Kmeans algorithm for clustering to obtain the category labels of the load points. Furthermore, in order to visualize the operation situation of distribution network, the information of load, geography, time and ID is displayed as dynamic bubble diagram in the example and the traditional load heat map is compared. The results show that the visualization method proposed in this paper can reflect more information of operation status of power grid, which presents the multi-parameter data to reflect the distribution law and development law of load, and can improve the perception ability of dispatchers to the operation data of distribution network.

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