Peak-Shaving of Feed-in PV Power for Residential PV-Battery System with Added Feedback-Adjustment Scheme

Today, there is a large increase in renewable energy electricity production. Especially, PV is widely used, but this type of power generator is inconsistently in electricity production. So, it is necessary to control its use properly. This paper presents a methodology to manage Battery Energy Storage System (BESS) with forecast-based operation by the time-series with the Box-Jenkins method for residential building. The objective is to increase installation capacity of PV in the feeder of distribution system, by developing the peak-shaving method of PV-generated power. The proposed scheme not only optimizes the feed-in limitation, but also maximizes the Self-Consumption of the produced power. The uncertainty of PV power forecast is handled by a proper setting of SoC margin and an added feedback-adjustment scheme. The validity of the proposed concept is verified by the simulation with the real data of PV power generation.