Research on an optimal allocation method of energy storage system for peak-shaving and valley-filling

In recent years, the economy has developed rapidly, and the power load has also increased substantially. As a result, the peak-valley load gap also increases gradually, which is not conducive to the stable operation of the power grid. Energy storage system (ESS) has the function of time-space transfer of energy and can be used for peak-shaving and valley-filling. Therefore, an optimal allocation method of ESS is proposed, which is applied to reduce the load gap between peak and valley. Firstly, load standard deviation is used as the index of peak-shaving and valley-filling effects. The comprehensive cost of the ESS is converted to days as an economic indicator. Then, the comprehensive cost and load standard deviation are taken as the optimization objectives and are linearly weighted. Finally, the GUROBI toolkit is called in MATLAB to solve the example, and the optimal allocation of the ESS is obtained. By comparing the load curves before and after the allocation of ESS, the analysis shows that the peak-valley difference of load decreases after the ESS is configured, which proves that the optimal allocation method of ESS is effective.