Chance-constrained programming based energy storage system sizing model considering uncertainty of wind power

LI Li-na1， YANG Li1， SUN Cheng2
（1. School of Electrical Engineering， Zhejiang University， Hangzhou 310027， China；
2. East China Electric Power Dispatching and Communication Center， Shanghai 200002， China）

Abstract： Energy storage plays an important role in increasing the acceptable grid-connected capacity for wind power. Aiming at the uncertainty and intermittence of wind power，a chance-constrained programming based battery energy storage system（BESS）sizing model was proposed. The constraints of wind power utilization and state of charge（SOC）of BESS were considered，and the wind output fluctuation was subject to within a certain limit. Genetic algorithm was used to solve the optimization problem，and Monte-Carlo method was applied to deal with the chance-constrained question. Furthermore，a control strategy was proposed to command BESS to charge or discharge of concerning discharge penalty，so as to extend the life span. The results indicate that the configuration of BESS capacity gets a tradeoff between power quality and cost.
Key words： wind power output； uncertainty； battery energy storage system（BESS）； chance constrained programming