基于电力大数据和供电网格的电网发展评价方法  

Evaluation Method for Power Grid Development Based on Electric Power Big Data and Power Supply

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作  者:李响[1] 胡天彤[1] 陈卓 李秋燕 郭寅远 张丹[1] 华红艳 LI Xiang;HU Tiantong;CHEN Zhuo;LI Qiuyan;GUO Yinyuan;ZHANG Dan;HUA Hongyan;无(Zhengzhou University of Aeronautics,Zhengzhou 450046,China;Xuchang Ketop Testing Research Institute Co.,Ltd.,Xuchang 461000,China;Economic and Technological Research Institue,State Grid Henan Electric Power Co.,Ltd.,Zhengzhou 450000,China)

机构地区:[1]郑州航空工业管理学院,河南郑州450046 [2]许昌开普检测研究院股份有限公司,河南许461000 [3]国网河南省电力有限公司经济技术研究院,河南郑州450000

出  处:《郑州航空工业管理学院学报》2025年第2期77-84,共8页Journal of Zhengzhou University of Aeronautics

基  金:河南省科技攻关项目(232102240102);河南省高等教育教学改革研究与实践重点项目(2024SJGLX0694);教育部供需对接就业育人项目(2023122891671)。

摘  要:为明确电网发展方向,提出一种基于电力大数据平台和供电网格的电网发展评价方法。首先,依据新型电力系统基本特征,从清洁低碳、安全可控、灵活高效、智能友好、开放互动五个维度构建指标体系;其次,融合电力大数据平台,挖掘海量数据信息,采用熵权法设置指标权重;然后,考虑变电站供区、电网结构、行政划分等因素,将电网划分为若干供电网格,逐级对电网进行精益化评估;最后,某城市配电网应用结果表明,该评价模型具有操作简单、评价合理、便于决策等优点。To clarify the direction of the power grid development,a development evaluation method based on power big data platform and power supply grid is proposed in this paper.Firstly,based on the basic characteristics of the new power system,an index system is constructed from five dimensions:clean and low-carbon,safe and controllable,flexible and efficient,intelligent and friendly,and open interaction. Secondly,by leveraging the integrated power big data platform, massive amounts of data are mined, and the entropy weight method is employed to determine indicator weights. Then, considering factors such as the substation supply area, grid structure, and administrative divisions, the grid is divided into several power supply grids, and a hierarchical evaluation is conducted for refined assessment. Finally, the application results in a city distribution network show that the evaluation model has the advantages of simple operation, reasonable evaluation, and easy decision-making.

关 键 词:电力大数据 供电网格 电网发展评价 指标体系 熵权法 

分 类 号:TM73[电气工程—电力系统及自动化] TP311.13[自动化与计算机技术—计算机软件与理论]

 

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