Model Predictive Control Method for Cascaded Bi-directional DC-DC Converter applied to a Stand-Alone Photovoltaic Energy Storage System

被引：0
|
作者：
Mei, Yang [1 ]
Chen, Lisha [1 ]
Li, Xiaoqing [1 ]
Sung, Kai [2 ]
机构：
[1] North China Univ Technol, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing, Peoples R China
[2] Tsinghua Univ, State Key Lab Power Syst, Beijing, Peoples R China
来源：
2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016) | 2016年
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A Model Predictive Control (MPC) method is proposed for cascaded bi-directional DC-DC converter in this paper. Building the predictive models and minimizing the cost function are included in this method. Predictive values of state variables can be obtained according to the predictive models, which include the first chopper inductor current and the second chopper inductor current, etc. The cost function is based on the system requirements, and the switching state which minimizes the cost function is selected to be the control signal in the following sampling period. Simulation and experimental results show high static/dynamic performances of the energy storage system.
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页数：5
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