Model predictive control of grid-connected inverters for PV systems with flexible power regulation and switching frequency reduction
- Publication Type:
- Journal Article
- Citation:
- IEEE Transactions on Industry Applications, 2015, 51 (1), pp. 587 - 594
- Issue Date:
- 2015-01-01
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
06825852.pdf | Published version | 1.47 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 1972-2012 IEEE. This paper presents a model predictive direct power control strategy for a grid-connected inverter used in a photovoltaic system as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. The voltage vector that generates the least power ripple is selected using a cost function and applied during the next sampling period; thus, flexible power regulation can be achieved. In addition, the influence of a one-step delay in the digital implementation is investigated and compensated for using a model-based prediction scheme. Furthermore, a two-step horizon prediction algorithm is developed to reduce the switching frequency, which is a significant advantage in higher power applications. The effectiveness of the proposed model predictive control strategy was verified numerically by using MATLAB/Simulink and validated experimentally using a laboratory prototype.
Please use this identifier to cite or link to this item: