A Chance Constrained Programming Based Optimal Configuration Method of Hybrid Energy Storage System

The capacity configuration of micro-generation sources is directly related to the power quality of microgrid and its economy.Considering the randomness of wind power generation,a chance-constrained programming based capacity configuration method and a corresponding model for hybrid energy storage system(HESS),in which the constraints of both power output of an HESS and state of charge(SOC) are considered and the minimum cost of HESS is taken as objective,are proposed.The proposed model is solved by genetic algorithm and the relation between the confidence degree of wind power fluctuation that does not overstep a certain interval and the cost of optimal configuration of HESS is obtained,thus a quantitative basis to appropriately compromise between power quality and economy is provided while the capacity of an HESS is configured.Besides,in allusion to the time characteristic of wind power fluctuation the power of the HESS is allocated,and according to the restraint of SOC a fuzzy control strategy is designed to modify the reference value of power of HESS to achieve the purpose of increasing the service life of HESS.The effectiveness of the proposed method is verified by simulation results.