Distributed real-time stochastic optimization based ESS management strategy for residential customers

In this paper, we propose an energy storage system (ESS) management strategy using the distributed real-time stochastic optimization to solve the prediction error by the forecasting system for added spending reduction of residential customers. Firstly, the optimization problem concerning photovoltaic (PV), ESS and flexible load is reformulated for the real-time scale problem by utilizing the stochastic optimization technique. After that, the optimization problem is designed for the distributed real-time stochastic optimization problem through the decomposition technique in the real-time scale. The result of simulation shows variation of the time-averaged delayed backlog and time-averaged electricity power cost by the portion of unsatisfied flexible load and control of backlog value.