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Joint Energy Disaggregation of Behind-the-Meter PV and Battery Storage: A Contextually Supervised Source Separation Approach.

Authors :
Wang, Fei
Ge, Xinxin
Dong, Zengbo
Yan, Jichuan
Li, Kangping
Xu, Fei
Lu, Xiaoxing
Shen, Hongtao
Tao, Peng
Source :
IEEE Transactions on Industry Applications; Mar/Apr2022, Vol. 58 Issue 2, p1490-1501, 12p
Publication Year :
2022

Abstract

An increasing number of residential customers have installed hybrid rooftop solar battery systems (HRSBSs). Currently, most HRSBSs are installed behind-the-meter (BTM), where only customers’ net load is measured by smart meters. This invisibility poses significant challenges to the system operation. Disaggregating BTM PV generation and battery charging/discharging profile of customers can enhance the grid-edge observability. This article proposes an energy disaggregation method to jointly separate the PV generation and battery charging/discharging power from the net load. First, a Home Smart Battery Management model is built to simulate the battery charging/discharging profile. Second, an optimal disaggregation model is established based on a contextually supervised source separation method. Furthermore, the feature vectors of PV, load, and battery are extracted as the input of the disaggregation model. Case studies on two datasets from Australia and China show that the proposed method has a promising disaggregation performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00939994
Volume :
58
Issue :
2
Database :
Complementary Index
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Academic Journal
Accession number :
155866671
Full Text :
https://doi.org/10.1109/TIA.2022.3144244