Multi-objective optimization of storage battery operation in clustered residential grid-interconnected PV

In the near future, photovoltaic (PV) power generation systems will become widespread. In this study, we apply multi-objective optimization to the designed model: the concentrated introduction of PV systems with stationary batteries and electric vehicle (EV) batteries in housing areas to fulfill the diverse demands from various sectors, including electrical power companies and utility customers. In the computations, we propose a novel method for modeling the residential load and PV output power based on the measured data from a national research project in Japan. Furthermore, we carry out data mining of the optimization results using a self-organizing map as an effective analysis tool for the design of PV systems with storage batteries.