Coordinated Control of PEV and PV-based Storage System under Generation and Load Uncertainties

Energy storage is an attractive choice for deployment in residential and commercial applications aiming to ensure proper utilization of solar photovoltaic (PV) power generation. Energy storage can be controlled and coordinated with PV generation to satisfy electricity demand and minimize electricity purchases from the grid. However, PV generation and load profile depend on the real-time weather condition and the usage by the owners. Thus, PV generation and demand uncertainties need to be considered when designing a control scheme for the PV-based storage system. Another resource at the residential level is theplug-in electric vehicle (PEV) which has a bi-directional capability and can reduce the electric power draw from the grid during peak hours. Therefore, the charging and discharging routines of the PEV can be controlled to achieve optimal economic benefits. In this paper, a method of coordinated optimal control between PV-based storage and PEV storage is proposed considering the stochastic nature of solar PV generation and load demand. The stochastic dual dynamic programming (SDDP) algorithm is employed to optimize the charge/discharge profiles of PV-based energy storage and PEV storage to minimize the overall cost of the daily household electricity purchase from the grid. Simulation analysis is performed in order to show the advantage of coordinated control compared to the other control strategies.