Online control for energy storage management with renewable energy integration

In this work, we study the problem of energy storage management with renewable energy integration by designing online control policy to minimize the long-term time-averaged cost. We take into account system input dynamics, and incorporate the batter operation cost for energy storage into the control optimization. Applying Lyapunov optimization technique, we design an on-line control policy that jointly optimizes the decisions for storage from two energy sources and supply to the consumer, which has bounded performance from the optimal scheme. We provide a close-form solution to our control optimization which renders our policy implementation with minimum complexity. Simulations show that introducing renewable energy can effectively reduce the long-term cost and improve the efficiency of energy storage relative to the battery operation cost.