Abstract

Recently, model predictive control (MPC) methods have been widely used to achieve the control of two-level voltage source inverters due to their superiorities. However, only one of the eight basic voltage vectors is applied in every control cycle in the conventional MPC system, resulting in large current ripples and distortions. To address this issue, a dual-vector modulated MPC method is presented, where two voltage vectors are selected and utilized to control the voltage source inverter in every control cycle. The duty cycle of each voltage vector is figured out according to the hypothesis that it is inversely proportional to the square root of its corresponding cost function value, which is the first contribution of this paper. The effectiveness of this assumption is verified for the first time by a detailed theoretical analysis shown in this paper based on the geometrical relationship of the voltage vectors, which is another contribution of this paper. Moreover, further theoretical analysis shows that the proposed dual-vector modulated MPC method can also be extended to control other types of inverters, such as three-phase four-switch inverters. Detailed experimental results validate the effectiveness of the presented strategy.

Highlights

  • Due to the advantages of two-level voltage source inverters, they have received more and more attention in the field of renewable energy generation systems, including photovoltaic systems and energy storage systems, among others

  • Althoughthe theproposed proposed dual-vector modulated is aiming to control two-level inverters, further studies in this paper show that it can be used to control other types of inverters source inverters, further studies in this paper show that it can be used to control other typesby of only changing the voltage vectors according to the according corresponding inverter, which is another inverters by only changing the voltage vectors to the corresponding inverter,important which is contribution of this contribution paper

  • The proposed method has a few disadvantages, one of which being that it can reduce the current ripples and total harmonic distortion (THD) compared to the single-vector model predictive control (MPC), it cannot minimize

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Summary

Introduction

Due to the advantages of two-level voltage source inverters, they have received more and more attention in the field of renewable energy generation systems, including photovoltaic systems and energy storage systems, among others. The control methods of two-level voltage source inverters have been widely studied to achieve smooth and flexible energy conversion [1,2,3,4,5]. Vector control is widely used to control two-level voltage source inverters in renewable energy generation systems as it can achieve power decoupling control. Proportional and integral controller and pulse width modulation modules are needed, which makes the control system hard to debug and prolongs the development cycle of the control system. Another control method, i.e., direct power control, has been studied to control two-level voltage source inverters. As the switching frequency is unfixed and the optimal voltage vector is selected based on an offline switch table, its power control precision is relatively low

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