Non-Intrusive Load Monitoring Algorithm for PV Identification in the Residential Sector

Moreno Jaramillo, A. M. Jaramillo, D. Laverty, Jesús Martínez, del Rincón, P. Brogan, D. Morrow
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引用次数: 10

Abstract

This paper presents a novel approach for identification of photovoltaic systems in the residential sector. This is needed in response to increasing embedded generation on distribution networks. To date non-intrusive load monitoring techniques have focused mostly on identifying conventional loads on the customer side. This paper demonstrates the application of non-intrusive load monitoring to identify residential distributed generation, thereby enabling techniques to improve system flexibility and stability. The demonstrated methodology combines basic statistics with the Support Vector Machine technique, to identify PV load signatures. PMU measurements from the residential sector are used to aggregate measurements based largely on electric current records. The methods presented have applications for network operators, both in real time control and generation scheduling.
住宅小区光伏识别的非侵入式负荷监测算法
本文提出了一种识别住宅光伏系统的新方法。这是为了应对配电网络中嵌入式发电的增加而需要的。迄今为止,非侵入式负载监测技术主要集中在识别客户端的常规负载上。本文演示了非侵入式负荷监测在识别住宅分布式发电中的应用,从而使技术能够提高系统的灵活性和稳定性。演示的方法将基本统计与支持向量机技术相结合,以识别光伏负载特征。来自住宅部门的PMU测量主要用于基于电流记录的汇总测量。所提出的方法在网络运营商的实时控制和发电调度中都有应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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