Active Stabilization of Line-Regulating Converters with Constant Power Loads

被引：0
|
作者：
Mueller, Jacob A. [1 ]
Wunsch, Donald C. [1 ]
Kimball, Jonathan W. [1 ]
机构：
[1] Missouri Univ Sci & Technol, Dept Elect & Comp Engn, Rolla, MO 65409 USA
来源：
2017 NORTH AMERICAN POWER SYMPOSIUM (NAPS) | 2017年
关键词：
DC microgrids; backpropagation through time; value-gradient learning; dynamic programming; BACKPROPAGATION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A control design procedure is described for line-regulating converters in dc microgrids and distribution systems with constant power loads. The controller is stabilized using the backpropagation through time algorithm with truncated state trajectories. A method of model discretization based on 4th order Runge-Kutta numerical integration is used to convert the nonlinear converter model into a representation the meets the requirements of the training algorithm. Simulation experiments are performed to demonstrate the controller performance in a variety of ideal and nonideal conditions.
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页数：6
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