Residential PV capacity estimation and power disaggregation using net metering measurements  

作　　者：Bo Liu Jianmin Tian Wenpeng Luan Yi Gao Xiaohui Wang Shuai Luo 

机构地区：[1]School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,P.R.China [2]Economic and Technical Research Institute,State Grid Tianjin Electric Power Company,Tianjin 300171,P.R.China [3]Artificial Intelligence Application Department,China Electric Power Research Institute,Beijing 100089,P.R.China

出　　处：《Global Energy Interconnection》2022年第6期590-603,共14页全球能源互联网（英文版）

基　　金：supported by the Science and Technology Project of State Grid Corporation of China(No.5400-202112507A-0-5-ZN);the National Nature Science Foundation for Young Scholars of China(No.52107120).

摘　　要：As the intermittency and uncertainty of photovoltaic(PV)power generation poses considerable challenges to the power system operation,accurate PV generation estimates are critical for the distribution operation,maintenance,and demand response program implementation because of the increasing usage of distributed PVs.Currently,most residential PVs are installed behind the meter,with only the net load available to the utilities.Therefore,a method for disaggregating the residential PV generation from the net load data is needed to enhance the grid-edge observability.In this study,an unsupervised PV capacity estimation method based on net metering data is proposed,for estimating the PV capacity in the customer’s premise based on the distribution characteristics of nocturnal and diurnal net load extremes.Then,the PV generation disaggregation method is presented.Based on the analysis of the correlation between the nocturnal and diurnal actual loads and the correlation between the PV capacity and their actual PV generation,the PV generation of customers is estimated by applying linear fitting of multiple typical solar exemplars and then disaggregating them into hourly-resolution power profiles.Finally,the anomalies of disaggregated PV power are calibrated and corrected using the estimated capacity.Experiment results on a real-world hourly dataset involving 260 customers show that the proposed PV capacity estimation method achieves good accuracy because of the advantages of robustness and low complexity.Compared with the state-of-the-art PV disaggregation algorithm,the proposed method exhibits a reduction of over 15%for the mean absolute percentage error and over 20%for the root mean square error.

关 键 词：Behind-the-meter Residential photovoltaic Capacity estimation Power disaggregation Net metering 

分 类 号：TM615[电气工程—电力系统及自动化]