Document Type
Article
Publication Date
1-1-2015
Abstract
This paper investigates the stability and performance of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems, which has been increasingly applied in power distribution sectors and in renewable energy sources to ensure an uninten-uptable power supply. The model predictive control (MPC) algorithm utilizes the discrete behavior of power converters to determine appropriate switching states by defining a cost function. The stability of the MPC algorithm is analyzed with the discrete z-domain response and the nonlinear simulation model. The results confirms that the control method of the active-front-end (AFE) rectifier is stable, and that is operates with an infmite gain margin and a very fast dynamic response. Moreover, the performance of the MPC controlled APE rectifier is verified with a 3.0 kW experimental system. This shows that the MPC controlled AFE rectifier operates with a unity power factor, an acceptable THD (4.0 ) level for the input current and a very low DC voltage ripple. Finally, an efficiency comparison is performed between the IVEPC and the VOC-based PWM controllers for AFE rectifiers. This comparison demonstrates the effectiveness of the MPC controller. '
Keywords
ac-dc power conversion, active-front-end (afe) rectifier, energy storage system, model predictive control (mpc), stability analysis, direct power-control, connected dc/ac converters, direct torque control, ac-dc converters, pwm rectifiers, induction-motor, electronics, quality, filters, drives
Divisions
fac_eng
Funders
Ministry of Higher Education and University of Malaya through HIR-MOHE project UM.C/HIR/MOHE/ENG/24,UMRG project RP006E-13ICT
Publication Title
Journal of Power Electronics
Volume
15
Issue
1
Additional Information
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