Abstract
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.
Original language | English |
---|---|
Article number | 6825852 |
Pages (from-to) | 587-594 |
Number of pages | 8 |
Journal | IEEE Transactions on Industry Applications |
Volume | 51 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Externally published | Yes |
Keywords
- Inverters
- Model predictive control (MPC)
- Power regulation
- Switching frequency reduction
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering