刘晟源, 章天晗, 林振智, 崔雪原, 李家桥, 杨莉. 数据赋能低压配用电系统精益化运行的关键技术与算法[J]. 电力系统自动化, 2023, 47(3): 187-199.
引用本文: 刘晟源, 章天晗, 林振智, 崔雪原, 李家桥, 杨莉. 数据赋能低压配用电系统精益化运行的关键技术与算法[J]. 电力系统自动化, 2023, 47(3): 187-199.
LIU Shengyuan, ZHANG Tianhan, LIN Zhenzhi, CUI Xueyuan, LI Jiaqiao, YANG Li. Key Technologies and Algorithms of Data Empowerment for Lean Operation of Low-voltage Power Distribution and Consumption System[J]. Automation of Electric Power Systems, 2023, 47(3): 187-199.
Citation: LIU Shengyuan, ZHANG Tianhan, LIN Zhenzhi, CUI Xueyuan, LI Jiaqiao, YANG Li. Key Technologies and Algorithms of Data Empowerment for Lean Operation of Low-voltage Power Distribution and Consumption System[J]. Automation of Electric Power Systems, 2023, 47(3): 187-199.

数据赋能低压配用电系统精益化运行的关键技术与算法

Key Technologies and Algorithms of Data Empowerment for Lean Operation of Low-voltage Power Distribution and Consumption System

  • 摘要: 随着人工智能和大数据技术的发展,合理高效地分析电力数据可以赋能电网业务以提升其工作成效。同时,智能采集装置提供了海量计量数据,为数据赋能低压配用电系统精益化运行打下了坚实基础。为更好地总结低压配用电系统精益化运行的研究成果和启迪思路,根据现有业务将低压配用电系统精益化运行主要分为计量采集设备质量评估与计量数据异常监测、用户相位关系识别与三相不平衡治理、低压台区户变关系和拓扑关系识别、用户异常用电和窃电行为检测、客户侧用电服务评价5个方面,分别介绍了数据赋能低压配用电系统精益化运行中的关键技术及算法,并给出了目前研究的不足和未来的展望。

     

    Abstract: With the development of artificial intelligence and big data technology, reasonable and efficient analysis of power data can empower the business of power companies to improve their work effectiveness. At the same time, the intelligent acquisition device provides massive measurement data, laying a solid foundation for data empowerment in the lean operation of low-voltage power distribution and consumption systems. In order to better summarize the past research and enlighten potential ideas, the lean operation of low-voltage power distribution and consumption systems is mainly divided into five parts, i. e., the evaluation of measurement devices and monitoring of abnormal measurement data, the user-phase identification and three-phase unbalance regulation, the user-transformer and topology relationship identifications in low-voltage areas, the abnormal power utilization and electricity theft detection, and the user-side service evaluation. The key technologies and algorithms of data empowerment in the lean operation of power distribution systems are introduced in detail, respectively, and the shortcomings of current research and prospects are also given.

     

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