Model Predictive and SDRE Control of DC Microgrids with Constant Power Loads: A Comparative Study

被引：0
|
作者：
Karami, Zeinab [1 ]
Shafiee, Qobad [1 ]
Bevrani, Hassan [1 ]
机构：
[1] Univ Kurdistan, Dept Elect Engn, Smart Micro Grids Res Ctr, Kurdistan, Sanandaj, Iran
来源：
2018 SMART GRID CONFERENCE (SGC) | 2018年
关键词：
Constant power Load; dc microgrids; model predictive control; state dependent riccati equation; optimal control; voltage control; BOOST CONVERTER; CONTROL STRATEGY; BUCK CONVERTERS; VOLTAGE CONTROL; GENERATION; DESIGN; DEFINITION; STABILITY; OPERATION; SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a model predictive controller (MPC) for dc microgrids (MGs) with constant power loads (CPLs) is provided. In order to, a simple dc microgrid with nonlinear model to define an optimal tracking control problem based on minimization of a cost function with the finite-prediction horizon is utilized. This proposed control strategy guarantees the stability of the closed-loop system and can tracks the output voltage to reference voltage value. The performance of the MPC controller is investigated and effectiveness of it compared with State-Dependent Riccati Equation (SDRE) controller, in Matlab/Simpower.
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收藏
页码：192 / +
页数：6
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