Multi-objective optimization model of energy storage participating in peak load regulation of power grid

Abstract There is an increasing amount of new energy power generation being applied in power systems. However, the peak shaving problem faced by the power grid is becoming more and more significant. Large-scale energy storage access to the power grid can assist the power system in peak shaving. Therefore, this paper establishes an energy storage peak shaving model considering carbon footprint cost and establishes a user-side carbon footprint cost model. On this basis, multi-objective optimization is carried out. A multi-objective optimization model of energy storage participating in power grid peak shaving considering carbon footprint is established. The optimization model aims at the optimal PS-VF (Peak Shaving and Valley Filling) effect and the optimal economy of the ESPS (Energy Storage Power Station). The net load variance is used as the evaluation index of the PS-VF effect of the ESPS. By normalizing the multi-objective function, the example analysis is carried out, and the results verify the effectiveness of the model.