Dual-Mode Power Operation for Grid-Connected PV Systems with Adaptive DC-link Controller

被引:7
作者
Ahmed, Mostafa [1 ,2 ]
Harbi, Ibrahim [1 ,3 ]
Kennel, Ralph [1 ]
Abdelrahem, Mohamed [1 ,2 ]
机构
[1] Tech Univ Munich TUM, Inst Elect Drive Syst & Power Elect, Munich, Germany
[2] Assiut Univ, Fac Engn, Elect Engn Dept, Assiut, Egypt
[3] Menoufia Univ, Fac Engn, Elect Engn Dept, Shebin El Koum, Egypt
关键词
PV systems; Dual-mode power generation; Adaptive DC-link control; Predictive control; POINT TRACKING METHOD; PHOTOVOLTAIC SYSTEMS; MPPT METHOD; GENERATION; PENETRATION; ALGORITHM; NETWORK; VOLTAGE;
D O I
10.1007/s13369-021-05916-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Photovoltaic (PV) power systems are integrated with high penetration levels into the grid. This in turn encourages several modifications for grid codes to sustain grid stability and resilience. Recently, constant power management and regulation is a very common approach, which is used to limit the PV power production. Thus, this article proposes dual-mode power generation algorithm for grid-connected PV systems. The developed system considers the two-stage PV configuration for implementation, where the dual-mode power generation technique is executed within the DC-DC conversion (boost) stage. Most of the techniques adopted for dual-mode power operation employ the conventional perturb and observe method, which is known with unsatisfactory performance at fast-changing atmospheric conditions. Considering this issue, this study suggests a modified maximum power point tracker for power extraction. Furthermore, a new adaptive DC-link controller is developed to improve the DC-link voltage profile at different operating conditions. The adaptive DC-link controller is compared with the traditional PI controller for voltage regulation. The inverter control is accomplished using finite-set model predictive control with two control objectives, namely reference current tracking and switching frequency minimization. The overall control methodology is evaluated at different atmospheric and operating conditions using MATLAB/Simulink software.
引用
收藏
页码:2893 / 2907
页数:15
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