MPC-based Power Management in the Shipboard Power System

被引：0
|
作者：
Paran, S. [1 ]
Vu, T. V. [1 ]
El Mezyani, T. [1 ]
Edrington, C. S. [1 ]
机构：
[1] Florida State Univ, Elect & Comp Engn, Tallahassee, FL 32306 USA
来源：
2015 IEEE ELECTRIC SHIP TECHNOLOGIES SYMPOSIUM (ESTS) | 2015年
关键词：
Microgrid; power management; model predictive control; particle swarm optimization; MODEL-PREDICTIVE CONTROL; ENERGY EFFICIENCY; RECONFIGURATION;
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：
This paper represents the development of an intelligent control by applying model predictive control to the power management of a DC-based ship system. In a shipboard power system, the control approach should ensure optimal load sharing among generators while maintaining the DC bus voltage stability. Model predictive control is a promising optimal control which has been proven to be efficient and robust for dynamic systems. Model predictive control is applied in order to meet the load centric energy/power demand. It will provide a predictive and adaptive approach to energy/power management routines. The algorithm and method are presented and validated through simulation in MATLAB/Simulink and PLECS.
引用
收藏
页码：14 / 18
页数：5
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