Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system

Morcos Metry; Yushan Liu; Robert S. Balog; Haitham Abu-Rub

doi:10.1109/ISIE.2017.8001496

Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system

Morcos Metry
, Yushan Liu
, Robert S. Balog
, Haitham Abu-Rub

Texas A&M University
Texas A&M University at Qatar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces. Such robust controller maximizes the energy harvest through continuous operation using a maximum power point tracker (MPPT). A model predictive control MPPT (MPC-MPPT) is proposed in this paper for a quasi-Z-source inverter (qZSI) based grid-connected PV power system. MPC is a robust suboptimal controller and is proposed in this paper as an elegant, embedded controller. Such controller has shown better dynamic performance than the conventional perturb and observe (P&O) technique, particularly under rapidly changing meteorological conditions. The qZSI is a single-stage topology that can guarantee MPPT and control the injected power to the grid simultaneously. The proposed method simulation results are presented in this paper.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1657-1662
Number of pages	6
ISBN (Electronic)	9781509014125
DOIs	https://doi.org/10.1109/ISIE.2017.8001496
State	Published - 3 Aug 2017
Externally published	Yes
Event	26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom Duration: 18 Jun 2017 → 21 Jun 2017

Publication series

Name	IEEE International Symposium on Industrial Electronics

Conference

Conference	26th IEEE International Symposium on Industrial Electronics, ISIE 2017
Country/Territory	United Kingdom
City	Edinburgh, Scotland
Period	18/06/17 → 21/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Grid-tie photovoltaic system
Maximum power point tracking
Model predictive control
Quasi-Z-source inverter

Access to Document

10.1109/ISIE.2017.8001496

Cite this

Metry, M., Liu, Y., Balog, R. S., & Abu-Rub, H. (2017). Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system. In Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017 (pp. 1657-1662). Article 8001496 (IEEE International Symposium on Industrial Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2017.8001496

Metry, Morcos ; Liu, Yushan ; Balog, Robert S. et al. / Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system. Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1657-1662 (IEEE International Symposium on Industrial Electronics).

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title = "Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system",

abstract = "Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces. Such robust controller maximizes the energy harvest through continuous operation using a maximum power point tracker (MPPT). A model predictive control MPPT (MPC-MPPT) is proposed in this paper for a quasi-Z-source inverter (qZSI) based grid-connected PV power system. MPC is a robust suboptimal controller and is proposed in this paper as an elegant, embedded controller. Such controller has shown better dynamic performance than the conventional perturb and observe (P\&O) technique, particularly under rapidly changing meteorological conditions. The qZSI is a single-stage topology that can guarantee MPPT and control the injected power to the grid simultaneously. The proposed method simulation results are presented in this paper.",

keywords = "Grid-tie photovoltaic system, Maximum power point tracking, Model predictive control, Quasi-Z-source inverter",

author = "Morcos Metry and Yushan Liu and Balog, \{Robert S.\} and Haitham Abu-Rub",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 26th IEEE International Symposium on Industrial Electronics, ISIE 2017 ; Conference date: 18-06-2017 Through 21-06-2017",

year = "2017",

month = aug,

day = "3",

doi = "10.1109/ISIE.2017.8001496",

language = "英语",

series = "IEEE International Symposium on Industrial Electronics",

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Metry, M, Liu, Y, Balog, RS & Abu-Rub, H 2017, Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system. in Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017., 8001496, IEEE International Symposium on Industrial Electronics, Institute of Electrical and Electronics Engineers Inc., pp. 1657-1662, 26th IEEE International Symposium on Industrial Electronics, ISIE 2017, Edinburgh, Scotland, United Kingdom, 18/06/17. https://doi.org/10.1109/ISIE.2017.8001496

Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system. / Metry, Morcos; Liu, Yushan; Balog, Robert S. et al.
Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1657-1662 8001496 (IEEE International Symposium on Industrial Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system

AU - Metry, Morcos

AU - Liu, Yushan

AU - Balog, Robert S.

AU - Abu-Rub, Haitham

PY - 2017/8/3

Y1 - 2017/8/3

N2 - Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces. Such robust controller maximizes the energy harvest through continuous operation using a maximum power point tracker (MPPT). A model predictive control MPPT (MPC-MPPT) is proposed in this paper for a quasi-Z-source inverter (qZSI) based grid-connected PV power system. MPC is a robust suboptimal controller and is proposed in this paper as an elegant, embedded controller. Such controller has shown better dynamic performance than the conventional perturb and observe (P&O) technique, particularly under rapidly changing meteorological conditions. The qZSI is a single-stage topology that can guarantee MPPT and control the injected power to the grid simultaneously. The proposed method simulation results are presented in this paper.

AB - Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces. Such robust controller maximizes the energy harvest through continuous operation using a maximum power point tracker (MPPT). A model predictive control MPPT (MPC-MPPT) is proposed in this paper for a quasi-Z-source inverter (qZSI) based grid-connected PV power system. MPC is a robust suboptimal controller and is proposed in this paper as an elegant, embedded controller. Such controller has shown better dynamic performance than the conventional perturb and observe (P&O) technique, particularly under rapidly changing meteorological conditions. The qZSI is a single-stage topology that can guarantee MPPT and control the injected power to the grid simultaneously. The proposed method simulation results are presented in this paper.

KW - Grid-tie photovoltaic system

KW - Maximum power point tracking

KW - Model predictive control

KW - Quasi-Z-source inverter

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ER -

Metry M, Liu Y, Balog RS, Abu-Rub H. Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system. In Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1657-1662. 8001496. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE.2017.8001496

Model predictive control for maximum power point tracking of quasi-Z-source inverter based grid-tied photovoltaic power system

Abstract

Publication series

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UN SDGs

Keywords

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