Linear combination of day-ahead charge/discharge scheduling toward multi objective analysis of energy management system

Abstract

With increasing installation of residential photovoltaic (PV) systems, distributed battery energy storage systems can be utilized for supply-demand balancing. Aggregators perform day-ahead scheduling for efficient energy management in some optimized method as ways. For optimization, however, criterions of values could change with the time or situation. In this study, we propose a method to investigate and compare various kinds of day-ahead charge/discharge schedulings based on different evaluation indices. First, we show that feasible schedulings are expressed as superpositions of reference schedulings obtained by simple strategies. Then, the method is applied to an aggregator with consumers who each has rooftop PVs and battery energy storage systems. A fairness index is defined as a correlation coefficient between battery usage and grid usage. Simulation results show a trade-off relationship between the total amount of charge/discharge of the batteries and the dispersion of power flows, and a relationship between the fairness index and the strategy of day-ahead scheduling.