Multi-step finite control set model predictive control of photovoltaic three-level NPC inverter with harmonic governance

Shuangmian Yang; Xiaoyang Yang; Junzheng Cao; Jing Zhao; Xianfa Hu

doi:10.1117/12.2679680

18 July 2023 Multi-step finite control set model predictive control of photovoltaic three-level NPC inverter with harmonic governance

Shuangmian Yang, Xiaoyang Yang, Junzheng Cao, Jing Zhao, Xianfa Hu

Author Affiliations +

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127222J (2023) https://doi.org/10.1117/12.2679680
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

To solve the problems of complex control structure, too many parameters to be tuned and complicated modulation module design in the traditional dual closed-loop control strategy of neutral point clamped (NPC) three-level PV inverter. A control strategy is proposed for NPC three-level PV inverters based on multi-step-ahead finite control set model predictive control (FCS-MPC). Based on the derivation of the mathematical model of the PV inverter, the current predictive control of the PV inverter in the αβ frame is realized based on the basic principle of FCS-MPC, which effectively reduces the control parameters of the PV inverter. Additionally, based on the inherent advantages of FCS-MPC, the mid-point potential balance of the DC side, reducing switching frequency and harmonic are simultaneously realized by setting the appropriate objective function. Furthermore, the accuracy of the prediction is further improved by the use of multi-step-ahead predictive control. For the harmonics problem during the fault ride-through of the conventional PV inverter, the causes of harmonic generation are revealed and a notch filter is designed to reduce the harmonics generated by the PV inverter during the low voltage ride through (LVRT). Finally, the time domain simulation software is used to verify the effectiveness and feasibility of the control strategy in this paper.

Citation Download Citation

Shuangmian Yang, Xiaoyang Yang, Junzheng Cao, Jing Zhao, and Xianfa Hu "Multi-step finite control set model predictive control of photovoltaic three-level NPC inverter with harmonic governance", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127222J (18 July 2023); https://doi.org/10.1117/12.2679680

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Photovoltaics

Switching

Linear filtering

Capacitors

Mathematical modeling

Control systems

Design and modelling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years