Optimization of Multi-user Shared Energy Storage System Considering Complex Factors

The energy storage system (ESS) has the function of shaving peak demand, filling demand valleys and reducing the cost of electricity consumption. To address the problem of excessive cost for a single-user independent ESS, we propose a scheduling strategy for the ESS in a shared model. We consider the factors such as one-time investment cost, operation maintenance, life cycle, and peak-shaving profit income. The objective function is to minimize the daily average investment operation cost. We establish a mixed-integer linear programming model and add some constraints, such as energy constraint, power constraint, and daily investment maintenance cost model of ESS. We also demonstrate the influence of different discharge depth on daily investment cost. Finally, we show that the shared ESS can save 14.17% on costs compared with the single-user independent ESS.