An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems

Mostafa Ahmed; Mohamed Abdelrahem; Ralph Kennel; Christoph M. Hackl

doi:10.1109/PEDSTC49159.2020.9088385

An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems

Mostafa Ahmed
, Mohamed Abdelrahem
, Ralph Kennel
, Christoph M. Hackl

Chair of High-Power Converter Systems

Technical University of Munich
Faculty of Engineering
Munich University of Applied Sciences

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

12 Scopus citations

Abstract

This paper presents an enhanced maximum power point tracking (MPPT) technique based on the finite-control-set model predictive control (FCS-MPC) for photovoltaic (PV) applications. The system under study is composed of a PV source and resistive load, while a boost converter is used as an interfacing circuit between the PV generator and the resistive load. To control the converter, a current-based cost function is applied to get the optimal switching state. Further, the previous switching state is included in the cost function design to enhance the MPPT performance. For investigation, the proposed algorithm is compared with perturb and observe (PO) method. Additionally, comparison between the proposed technique and the conventional FCS-MPC is performed at different atmospheric conditions.

Original language	English
Title of host publication	2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728158495
DOIs	https://doi.org/10.1109/PEDSTC49159.2020.9088385
State	Published - Feb 2020
Event	11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of Duration: 4 Feb 2020 → 6 Feb 2020

Publication series

Name	2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conference

Conference	11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
Country/Territory	Iran, Islamic Republic of
City	Tehran
Period	4/02/20 → 6/02/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

FCS-MPC
MPPT
Modeling
PV module
PV system

Access to Document

10.1109/PEDSTC49159.2020.9088385

Cite this

Ahmed, M., Abdelrahem, M., Kennel, R., & Hackl, C. M. (2020). An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems. In 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 Article 9088385 (2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEDSTC49159.2020.9088385

Ahmed, Mostafa ; Abdelrahem, Mohamed ; Kennel, Ralph et al. / An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems. 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020).

@inproceedings{67f8a72a6c8f4783b07ce4008d3f7656,

title = "An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems",

abstract = "This paper presents an enhanced maximum power point tracking (MPPT) technique based on the finite-control-set model predictive control (FCS-MPC) for photovoltaic (PV) applications. The system under study is composed of a PV source and resistive load, while a boost converter is used as an interfacing circuit between the PV generator and the resistive load. To control the converter, a current-based cost function is applied to get the optimal switching state. Further, the previous switching state is included in the cost function design to enhance the MPPT performance. For investigation, the proposed algorithm is compared with perturb and observe (PO) method. Additionally, comparison between the proposed technique and the conventional FCS-MPC is performed at different atmospheric conditions.",

keywords = "FCS-MPC, MPPT, Modeling, PV module, PV system",

author = "Mostafa Ahmed and Mohamed Abdelrahem and Ralph Kennel and Hackl, \{Christoph M.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 ; Conference date: 04-02-2020 Through 06-02-2020",

year = "2020",

month = feb,

doi = "10.1109/PEDSTC49159.2020.9088385",

language = "English",

series = "2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020",

}

Ahmed, M, Abdelrahem, M, Kennel, R & Hackl, CM 2020, An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems. in 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020., 9088385, 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020, Institute of Electrical and Electronics Engineers Inc., 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020, Tehran, Iran, Islamic Republic of, 4/02/20. https://doi.org/10.1109/PEDSTC49159.2020.9088385

An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems. / Ahmed, Mostafa; Abdelrahem, Mohamed; Kennel, Ralph et al.
2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9088385 (2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020).

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

TY - GEN

T1 - An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems

AU - Ahmed, Mostafa

AU - Abdelrahem, Mohamed

AU - Kennel, Ralph

AU - Hackl, Christoph M.

PY - 2020/2

Y1 - 2020/2

N2 - This paper presents an enhanced maximum power point tracking (MPPT) technique based on the finite-control-set model predictive control (FCS-MPC) for photovoltaic (PV) applications. The system under study is composed of a PV source and resistive load, while a boost converter is used as an interfacing circuit between the PV generator and the resistive load. To control the converter, a current-based cost function is applied to get the optimal switching state. Further, the previous switching state is included in the cost function design to enhance the MPPT performance. For investigation, the proposed algorithm is compared with perturb and observe (PO) method. Additionally, comparison between the proposed technique and the conventional FCS-MPC is performed at different atmospheric conditions.

AB - This paper presents an enhanced maximum power point tracking (MPPT) technique based on the finite-control-set model predictive control (FCS-MPC) for photovoltaic (PV) applications. The system under study is composed of a PV source and resistive load, while a boost converter is used as an interfacing circuit between the PV generator and the resistive load. To control the converter, a current-based cost function is applied to get the optimal switching state. Further, the previous switching state is included in the cost function design to enhance the MPPT performance. For investigation, the proposed algorithm is compared with perturb and observe (PO) method. Additionally, comparison between the proposed technique and the conventional FCS-MPC is performed at different atmospheric conditions.

KW - FCS-MPC

KW - MPPT

KW - Modeling

KW - PV module

KW - PV system

UR - https://www.scopus.com/pages/publications/85085477611

U2 - 10.1109/PEDSTC49159.2020.9088385

DO - 10.1109/PEDSTC49159.2020.9088385

M3 - Conference contribution

AN - SCOPUS:85085477611

T3 - 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

BT - 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Y2 - 4 February 2020 through 6 February 2020

ER -

Ahmed M, Abdelrahem M, Kennel R, Hackl CM. An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems. In 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9088385. (2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020). doi: 10.1109/PEDSTC49159.2020.9088385

An Enhanced Maximum Power Point Tracking Based Finite-Control-Set Model Predictive Control for PV Systems

Abstract

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UN SDGs

Keywords

Access to Document

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