Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems

• Main Authors: Akter, M.P., Mekhilef, Saad, Tan, N.M.L., Akagi, H.
• Format: Article
• Language: English
• Published: 2015
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/13901/1/Stability_and_Performance_Investigations_of_Model_Predictive.pdf; http://eprints.um.edu.my/13901/; http://www.dbpia.co.kr/Journal/ArticleDetail/3557373

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. '