电力系统自动化Issue(23)：58-65,8.DOI:10.7500/AEPS20150120009
基于风电功率预测的复合储能超前优化控制策略
An Optimal Look-ahead Control Strategy for Hybrid Energy Storage System Based on Wind Power Prediction
摘要
Abstract
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.关键词
功率预测/优化策略/超前控制/复合储能系统/超级电容/锂电池Key words
power prediction/optimization strategy/look-ahead control/hybrid energy storage system (HESS)/super-capacitor/lithium-ion battery引用本文复制引用
张熙,张峰,梁军,张利,韩学山,杨立滨..基于风电功率预测的复合储能超前优化控制策略[J].电力系统自动化,2015,(23):58-65,8.基金项目
国家自然科学基金资助项目(51307101,51177091) （51307101,51177091）
山东省优秀中青年科学家科研奖励基金资助项目(BS2013NJ011) （BS2013NJ011）
青海省光伏发电并网技术重点实验室项目(2014-Z-Y34A)。 （2014-Z-Y34A）
