Receding Horizon Control Strategy for Energy Storage Devices Incorporating Capacity Loss

被引：0
|
作者：
Sharma, Desh Deepak [1 ]
机构：
[1] MJP Rohilkhand Univ, Dept Elect Engn, Bareilly 243006, Uttar Pradesh, India
来源：
2018 5TH IEEE UTTAR PRADESH SECTION INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (UPCON) | 2018年
关键词：
Battery energy storage system; capacity loss; receding horizon control; optimal feedback control law; MODEL-PREDICTIVE CONTROL; HEALTH ESTIMATION; STATE; MANAGEMENT; OPERATION; SYSTEMS; CHARGE;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The capacity loss in battery determines the remaining capacity of battery with end of life of battery. So, change in capacity loss must be regulated at desired rate along with energy to be stored on battery. In this paper, real time receding horizon control scheme is suggested to predict optimal charging/discharging operations of battery energy storage system (BESS) for the future time horizon. In this control scheme, the BESS is to maintain desired rate of change of capacity loss and to store desired energy during all prediction horizon. A performance index based on error dynamics is proposed in receding horizon control scheme and optimal feedback control actions are generated to minimize the performance index for whole prediction horizons. The effectiveness of proposed scheme is tested on data available of assumed microgrid.
引用
收藏
页码：1010 / 1015
页数：6
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