An Average Model Predictive Control of Quasi-Z-Source Modular Cascaded Photovoltaic Converter

Liu, Yushan; Xue, Yaosuo; Shadmand, Mohammad B.

doi:10.1109/ECCE.2018.8557968

Title: An Average Model Predictive Control of Quasi-Z-Source Modular Cascaded Photovoltaic Converter

Conference · Sat Dec 01 00:00:00 EST 2018

DOI:https://doi.org/10.1109/ECCE.2018.8557968· OSTI ID:1488697

Liu, Yushan ^[1];

^[2]; Shadmand, Mohammad B. ^[3]

Beihang University, China
ORNL
Kansas State University

An average model predictive control (AMPC) is proposed for dc grid integration of the front-end isolated quasi-Z-source modular cascaded converter (qZS-MCC) photovoltaic (PV) power system. The qZS-MCC deals with PV maximum power point tracking (MPPT), dc grid integration, and de-link voltage balance by the post-stage qZS half-bridge (HB) dc-dc converters, while a unified duty cycle is used in the front-end isolation converters of all submodules (SMs). Thus, it reduces the control resources while overcoming the dc-bus voltage limit because of the PV panel insulation demand. The proposed AMPC of qZS-MCC PV power system predicts the shoot-through duty cycle of each SM for dc-link voltage control, and the total modulation index for dc grid-connected current control; only one proportional-integral (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.

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

Sponsoring Organization:: USDOE Office of Electricity (OE)

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1488697

Resource Relation:: Conference: 2018 IEEE Energy Conversion Congress and Exposition (ECCE) - Portland, Oregon, United States of America - 9/23/2018 4:00:00 AM-9/27/2018 4:00:00 AM

Country of Publication:: United States

Language:: English

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