智能电表数据在配电系统优化运行中的应用

G. Grigoraș, Florina Scarlatache
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引用次数: 13

摘要

本文提出了一种基于聚类的消费者分类算法,该算法以智能电表测量得到的典型负荷曲线为特征,对具有代表性的消费类别进行分类。所获得的结果被扩展到没有实现智能计量系统的其他消费者。在案例研究中,考虑了一个工作数据库,该数据库由安装在罗马尼亚农村配电网络的87个住宅用户的智能电表提供的信息描述。利用60个住宅用户组成的测试数据库进行对比研究。结果表明,所提出的方法可以成功地用于配电系统的优化运行和规划或建立特定的客户电价结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of data from smart meters in optimal operation of distribution systems
The paper presents a clustering based algorithm for consumers' classification in representative consumption categories characterized by typical load profiles obtained using measurements performed by smart meters. The results obtained were extended to other consumers that don't have a smart metering system implemented. In the case study, a working database described by information provided by smart meters installed at 87 residential consumers from a rural distribution network from Romania was considered. A comparative study was realized using a testing database formed by 60 residential customers. The results obtained demonstrated that the proposed approach can be used with the success in the optimal operation and planning of distribution systems or in building specific tariff structures of the customers.
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