We consider the residential energy storage management system with integrated renewable generation and capability of selling energy back to the power grid. We propose a real-time bidirectional energy control algorithm, aiming to minimize the net system cost of energy buying and selling and storage within a given time period, subject to the battery operational constraints and energy buying and selling constraints. We formulate the problem as a stochastic control optimization problem, which is then modified and transformed to allow us to apply Lyapunov optimization to develop the real-time energy control algorithm. Our algorithm is developed for arbitrary and unknown dynamics of renewable source, loads, and electricity prices. It provides a simple closed-form control solution based on current system states with minimum complexity for implementation. The proposed algorithm possesses a bounded performance guarantee to that of the optimal non-causal T -slot look-ahead control policy. Simulation studies show the effectiveness of our proposed algorithm as compared with alternative real-time and non-causal algorithms.
Furthermore, the storage deterioration and battery inefficiency in a certain time of operation are subject to the battery operational limitations and energy trading requirements REF .
Residential Energy Storage Management with Bidirectional Energy Control
ArXiv
ArXiv
Engineering Computer Science