Shared Energy Storage Optimization Considering Electricity Price and PV Output Uncertainty

Abstract

The consumption of renewable energy is driving the development of energy storage technology. Shared energy storage (SES) is proposed to solve the problem of low energy storage penetration rate and high energy storage cost. Therefore, it is necessary to study the profit distribution and scheduling optimization of SES. This study proposes a SES-Prosumers model, using chance constraint and robust optimization to cope with uncertainty in PV generation and electricity price, respectively. Then, the SES-Prosumers cooperative optimization model is established based on Nash negotiation theory. The original Nash negotiation problem is equivalently transformed into the SES-Prosumers system benefit maximization subproblem and the energy trading negotiation subproblem. Finally, the alternating directional multiplier method (ADMM) is used to solve these two subproblems in a distributed manner to protect the privacy of each participant. The simulation results show that the proposed strategy can effectively improve the operational benefits of each subject and its ability to deal with uncertain risks.