Model Predictive Control-Based Dual-Mode Operation of an Energy-Stored Quasi-Z-Source Photovoltaic Power System

Liu, Yushan; Liu, Xuyang; Li, Xiao; Yuan, Haiwen; Xue, Yaosuo

doi:10.1109/tie.2022.3215451

Title: Model Predictive Control-Based Dual-Mode Operation of an Energy-Stored Quasi-Z-Source Photovoltaic Power System

Journal Article · Fri Sep 01 00:00:00 EDT 2023 · IEEE Translations on Industrial Electronics

DOI:https://doi.org/10.1109/tie.2022.3215451· OSTI ID:1968669

^[1]; Liu, Xuyang ^[1];

^[1];

^[2]

Beijing University (China)
Oak Ridge National Laboratory, Oak Ridge, TN (United States)

The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations with simple structure and other advantages of Z-source inverter. The improved dual-mode (DM) ES-qZSI is able to support all-weather operation even at night or cloudy days when PV power is extremely low. However, the traditional proportional–integral (PI) based control suffers from complicated controller design and poor dynamic response during mode transition, due to two sets of PI control required for the daytime and night operation modes. In order to overcome that, here in this article, we propose a model predictive control strategy for the DM-ES-qZSI PV power system. The system predictive models in both day and night operating modes are derived. The control strategy is disclosed to ensure high performance of the system, through calling the predictive models and defined cost functions of the two modes within a single control loop. Simulation and experiment are carried out to verify the effectiveness of the proposed control strategy.

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Research Organization:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE); National Natural Science Foundation of China (NSFC); Beijing Nova Program; Central Universities

Grant/Contract Number:: AC05-00OR22725; 52107175; Z211100002121080; SKLD22KM18; KG16135701

OSTI ID:: 1968669

Journal Information:: IEEE Translations on Industrial Electronics, Vol. 70, Issue 9; ISSN 0278-0046

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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