Comparative Study of Aging-Aware Control Strategies for Grid-Connected Photovoltaic Battery Systems

Paper i proceeding, 2024

Various strategies with different objectives have been proposed to control grid-connected photovoltaic (PV) battery systems where electric vehicle (EV) batteries can be used as stationary energy storage. As the first attempt to enable aging-aware decision-making under various uncertainties, an economically motivated stage cost function is proposed to account for both the grid and the battery degradation cost. Historical operational data and 'fixed' forecasted electricity price data are utilized to improve the economic performance of an implicit (or time-varying) optimal policy. Simulation results show that an implicit optimal policy achieved better economic performance (i.e., lowest grid and battery degradation cost) with smaller fluctuation amplitudes than an explicit one. Thus, to improve the aging-aware decision-making under uncertainties for EV batteries further, the implicit optimal policy will be further developed with consideration of other forecasts.