Residential battery storage sizing based on daily PV production and consumption load profile characterization

Abstract

The integration of battery energy storage systems (BESS) to existing grid-connected residential PV systems can reduce issues stemming from the increased PV penetration and at the same time improve the performance of the existing system. In this paper, a methodology for determining the optimal sizing of BESS is presented based on a clustering method by considering energy profiles of residential prosumers in Cyprus. As such, the daily energy required for residential premises with existing 3 kWp photovoltaic system in Cyprus is determined in three primary clusters. The clustering procedure is carried out based on the daily import electricity profiles recorded for the prosumers over the period of one year which revealed the daily energy needs of each cluster targeting to maximize self-consumption. Additionally, the battery capacity level of each cluster is compared with the daily export electricity of each prosumer within the same cluster to reveal the amount of users with enough surplus electricity to meet the capacity requirement of each cluster. Finally, a power rate dimensioning of the BESS power converter is performed by analyzing the import power measurements over the one year test period.