With continuously increased accuracy and reliability

wind power prediction is introduced into the control process of hybrid energy storage system (HESS)

and an optimal look-ahead control strategy for HESS is proposed. Firstly

the section length of predicted information is confirmed according to the probability distribution of contiguous charge and discharge time section length

and then the look-ahead time section is determined. Secondly

considering the dominant factors that influence the HESS efficiency

an efficient charge and discharge strategy for HESS is developed. Based on this

an optimization model under the synchronous starting of storage media of HESS is constructed

taking minimum-variance of state of charge (SOC) offset as objective function and considers the constraint conditions on charge/discharge power and HESS capacity

then the coordinated control model for next look-ahead time section is determined. Finally

the steps of algorithm solution are given. The analysis of actual wind farm power data shows that the method proposed is efficient in the HESS control with practical application value. This work is supported by National Natural Science Foundation of China (No. 51307101

No. 51177091)

Science and Technology Foundation for Middle-aged and Young Scientist of Shandong Province

China (No. BS2013NJ011)

and Qinghai Province Key Laboratory of Photovoltaic Grid Connected Power Generation Technology (No. 2014-Z-Y34A).