A Distributed Optimization and Control Framework for a Network of Constraint Coupled Residential BESSs

In this paper we propose a distributed optimization and control protocol to optimize the behavior of a network of domestic Battery Energy Storage Systems (BESS) which offers several advantages with respect to privacy protection due to its control and information sharing architecture. We use the Lagrange multipliers in our optimization protocol. The model of the network of BESS includes the possibility of local power generation and power transfer to the grid. The proposed method enables autonomous decision making for each BESS. Information regarding the state of charge and related constraints of each BESS is not shared, thus increasing the protection of the user privacy. Numerical results are provided to validate the proposed approach.