An Average Model Predictive Control of QuasiZSource Modular Cascaded Photovoltaic Converter
Abstract
An average model predictive control (AMPC) is proposed for dc grid integration of the frontend isolated quasiZsource modular cascaded converter (qZSMCC) photovoltaic (PV) power system. The qZSMCC deals with PV maximum power point tracking (MPPT), dc grid integration, and delink voltage balance by the poststage qZS halfbridge (HB) dcdc converters, while a unified duty cycle is used in the frontend isolation converters of all submodules (SMs). Thus, it reduces the control resources while overcoming the dcbus voltage limit because of the PV panel insulation demand. The proposed AMPC of qZSMCC PV power system predicts the shootthrough duty cycle of each SM for dclink voltage control, and the total modulation index for dc gridconnected current control; only one proportionalintegral (PI) regulator for PV MPPT is required in each SM. Thus, PI regulators are significantly reduced, whereas system dynamic responses are improved, with low computation and simple implementation. Simulation and downscaled experimental results demonstrate the effectiveness of the proposed control.
 Authors:

 Beihang University, Beijing, China
 ORNL
 Kansas State University
 Publication Date:
 Research Org.:
 Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
 Sponsoring Org.:
 USDOE Office of Electricity Delivery and Energy Reliability (OE)
 OSTI Identifier:
 1488697
 DOE Contract Number:
 AC0500OR22725
 Resource Type:
 Conference
 Resource Relation:
 Conference: 2018 IEEE Energy Conversion Congress and Exposition (ECCE)  Portland, Oregon, United States of America  9/23/2018 4:00:00 AM9/27/2018 4:00:00 AM
 Country of Publication:
 United States
 Language:
 English
Citation Formats
Liu, Yushan, Xue, Yaosuo, and Shadmand, Mohammad B. An Average Model Predictive Control of QuasiZSource Modular Cascaded Photovoltaic Converter. United States: N. p., 2018.
Web. doi:10.1109/ECCE.2018.8557968.
Liu, Yushan, Xue, Yaosuo, & Shadmand, Mohammad B. An Average Model Predictive Control of QuasiZSource Modular Cascaded Photovoltaic Converter. United States. doi:10.1109/ECCE.2018.8557968.
Liu, Yushan, Xue, Yaosuo, and Shadmand, Mohammad B. Sat .
"An Average Model Predictive Control of QuasiZSource Modular Cascaded Photovoltaic Converter". United States. doi:10.1109/ECCE.2018.8557968. https://www.osti.gov/servlets/purl/1488697.
@article{osti_1488697,
title = {An Average Model Predictive Control of QuasiZSource Modular Cascaded Photovoltaic Converter},
author = {Liu, Yushan and Xue, Yaosuo and Shadmand, Mohammad B.},
abstractNote = {An average model predictive control (AMPC) is proposed for dc grid integration of the frontend isolated quasiZsource modular cascaded converter (qZSMCC) photovoltaic (PV) power system. The qZSMCC deals with PV maximum power point tracking (MPPT), dc grid integration, and delink voltage balance by the poststage qZS halfbridge (HB) dcdc converters, while a unified duty cycle is used in the frontend isolation converters of all submodules (SMs). Thus, it reduces the control resources while overcoming the dcbus voltage limit because of the PV panel insulation demand. The proposed AMPC of qZSMCC PV power system predicts the shootthrough duty cycle of each SM for dclink voltage control, and the total modulation index for dc gridconnected current control; only one proportionalintegral (PI) regulator for PV MPPT is required in each SM. Thus, PI regulators are significantly reduced, whereas system dynamic responses are improved, with low computation and simple implementation. Simulation and downscaled experimental results demonstrate the effectiveness of the proposed control.},
doi = {10.1109/ECCE.2018.8557968},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {12}
}