| 引用本文: | 白浩,袁智勇,梁朔,等.基于大数据处理的配网运行效率关联性分析[J].电力系统保护与控制,2020,48(6):61-67.[点击复制] |
| BAI Hao,YUAN Zhiyong,LIANG Shuo,et al.Correlation analysis of distribution network operation efficiency based on big data processing[J].Power System Protection and Control,2020,48(6):61-67[点击复制] |
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| 摘要: |
| 随着配网系统不断发展，系统结构更为复杂，所产生的运行数据量也极为丰富。通过对大数据的有效快速分析，能及时准确提取相关数据，对系统运行效率产生积极影响。基于大数据处理技术，提出一种用于计算配网运行效率相关性的分析方法。首先介绍了大数据处理的相关技术，详细分析了模糊聚类分析在数据提取中的作用。然后对配网运行进行相关讨论，并分析了可能影响配网运行效率的有关因素。随后，利用主成分分析法确定主要影响因素。最后通过算例验证了该方法的有效性，并根据结果为系统运行提供相关参考意见。 |
| 关键词: 大数据 运行效率 模糊聚类分析 主成分分析 |
| DOI：10.19783/j.cnki.pspc.190579 |
| 投稿时间：2019-05-22修订日期：2019-07-15 |
| 基金项目:国家重点研发计划项目资助(2017YFB0902900); |
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| Correlation analysis of distribution network operation efficiency based on big data processing |
| BAI Hao,YUAN Zhiyong,LIANG Shuo,JIANG Zhen,CHEN Rouyi,YU Wujing |
| (Electric Power Research Institute, CSG, Guangzhou 510663, China;Electric Power Research Institute, Guangxi Power Grid Company Ltd., Nanning 530023, China;China Southern Power Grid Company Limited, Guangzhou 510663, China;Shenzhen Comtop Information Technology Co., Ltd., Shenzhen 518000, China) |
| Abstract: |
| With the continuous development of distribution network systems, the system structure is more and more complex, and the amount of operational data generated is extremely rich. Through effective and rapid analysis of big data, relevant data can be accurately and timely extracted, which has a positive impact on system operation efficiency. Based on big data processing technology, this paper proposes an analysis method for calculating the correlation of distribution network operation efficiency. First, the related technology of big data processing is introduced. The role of fuzzy clustering analysis in data extraction is analyzed in detail. Then, the related operation of the distribution network is discussed, and the relevant factors affecting the operation efficiency of the distribution network are analyzed. Subsequently, the main influencing factors are determined by principal component analysis. Finally, the effectiveness of the method is verified by an example, and the related reference is provided for the system operation. This work is supported by National Key Research and Development Program of China (No. 2017YFB0902900) and Science and Technology Project of China Southern Power Grid (No. ZBKJXM20180220). |
| Key words: big data operation efficiency fuzzy clustering analysis principal component analysis |
