Optimal Configuration Method of Energy Storage System Oriented to Multi-application Scenarios

Abstract

With the large-scale access of renewable energy， the configuration of energy storage system （ESS） has become an important means to improve the flexibility and reliability of the grid. Given the problem of low utilization rate of ESS in a single-application scenario， an optimal configuration method of ESS for multi-application scenarios is proposed to improve the utilization rate of ESS and enhance the voltage stability of power grid. Firstly， this paper establishes a mathematical model of ESS under the three application scenarios of smoothing wind and solar output fluctuation， auxiliary frequency regulation and energy arbitrage； secondly， it takes account of the life attenuation caused by the cyclic charge and discharge of ESS and builds an optimization model of operation and scheduling to minimize the net cost of distribution networks， and further establishes a storage system configuration optimization model intending to minimize the total cost of energy storage system configuration； then， the optimal configuration model of energy storage is solved by combining genetic algorithm and GUROBI solver to obtain its optimal configuration scheme； finally， the proposed method is simulated and verified by IEEE 33 node system. The results show that the wind and PV generation output power and node voltage fluctuations in the distribution network are significantly reduced under multi-application scenarios； the operational stability of the grid is enhanced while the utilization of the energy storage is improved.

Keywords

• distribution network
• multi-application scenarios
• energy storage system
• optimal configuration