Long-horizon finite-set model predictive control for grid-connected photovoltaic inverters

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Author(s)
Qiu, Quanwei
Yang, Fuwen
Zhu, Yong
Han, Qing-Long
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2021
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Abstract

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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Optimal Control Applications and Methods

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Electrical engineering

Control engineering, mechatronics and robotics

Applied mathematics

Science & Technology

Physical Sciences

Automation & Control Systems

Operations Research & Management Science

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Qiu, Q; Yang, F; Zhu, Y; Han, Q-L, Long-horizon finite-set model predictive control for grid-connected photovoltaic inverters, Optimal Control Applications and Methods, 2021

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