Long‐horizon finite‐set model predictive control for grid‐connected photovoltaic inverters
Optimal Control Applications and Methods 43(3): 618-635
Article 2021 English
Authors
QQ
Quanwei Qiu
FY
Fuwen Yang
YZ
Yong Zhu
Abstract
1 min read
This article addresses the grid‐connected single‐phase photovoltaic (PV) inverter control. A long‐horizon finite‐set model predictive control (MPC) strategy is proposed to control the voltage source inverter. To achieve this, a multi‐step implementation approach and a control sequence rearrangement method are designed to reduce the sampling frequency and switching frequency. The optimization problem for the finite‐set MPC is further simplified to reduce the computational complexity of the optimization procedure. Moreover, a multi‐step delay compensation method is developed to compensate for the computational delay of the control algorithm. Finally, the proposed control method is implemented in a grid‐connected PV inverter and simulation test results demonstrate its effectiveness under different load and generation conditions.
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