The estimation algorithm of behind-the-meter solar PV capacities considering lighting load

In the era of energy transitions, solar photovoltaic(PV) resources and wind generators are rapidly increasing. Most small-scale solar PV generators in South Korea are located behind-the-meter(BTM). It is difficult for system operators to monitor the amount of PV generations in real time. Therefore, the amount of BTM solar PV generations have caused increasing the uncertainty of load forecasting. In order to improve uncertainty of load forecasting, this paper proposes an algorithm for BTM solar PV capacity estimation considering lighting load. The capacities of BTM solar PV resources are estimated using reconstituted load based temperature filtering process and lighting load estimation. The proposed algorithm was stable for performance on BTM solar PV capacity estimation and improved the accuracy of load forecasting throughout case studies. Copyright © 2021 The Korean Institute of Electrical Engineers.