A Lightweight Energy Management Method for Hybrid PV/Battery/Load Systems

In this paper, a computationally lightweight algorithm is introduced for hybrid PV/Battery/Load systems that is price responsive, responds fast, does not require powerful hardware, and considers the operational limitations of the system. The method is applied to two buildings equipped with PV and battery. Simulation results show that the method can give results that are up to 3.9 more expensive than the Model predictive control (MPC) approach while the runtime of the program is up to 1000 times less than the MPC. Also, while the runtime of the proposed method is in the range of the self-consumption maximization (SCM) approach as the fastest method, its electricity cost is about 3.2 case of providing grid services by the battery the difference between electricity cost of the proposed approach and MPC can reduce which makes the method good for such applications.