Model Predictive Control-Based Dual-Mode Operation of an Energy-Stored Quasi-Z-Source Photovoltaic Power System

Yushan Liu; Xuyang Liu; Xiao Li; Haiwen Yuan; Yaosuo Xue

doi:10.1109/TIE.2022.3215451

Model Predictive Control-Based Dual-Mode Operation of an Energy-Stored Quasi-Z-Source Photovoltaic Power System

Yushan Liu, Xuyang Liu, Xiao Li, Haiwen Yuan, Yaosuo Xue

Grid Systems Modeling and Controls

Research output: Contribution to journal › Article › peer-review

56 Scopus citations

Abstract

The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations with simple structure and other advantages of Z-source inverter. The improved dual-mode (DM) ES-qZSI is able to support all-weather operation even at night or cloudy days when PV power is extremely low. However, the traditional proportional-integral (PI) based control suffers from complicated controller design and poor dynamic response during mode transition, due to two sets of PI control required for the daytime and night operation modes. In order to overcome that, in this article, we propose a model predictive control strategy for the DM-ES-qZSI PV power system. The system predictive models in both day and night operating modes are derived. The control strategy is disclosed to ensure high performance of the system, through calling the predictive models and defined cost functions of the two modes within a single control loop. Simulation and experiment are carried out to verify the effectiveness of the proposed control strategy.

Original language	English
Pages (from-to)	9169-9180
Number of pages	12
Journal	IEEE Transactions on Industrial Electronics
Volume	70
Issue number	9
DOIs	https://doi.org/10.1109/TIE.2022.3215451
State	Published - Sep 1 2023

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 52107175, in part by Beijing Nova Program under Grant Z211100002121080, and in part by the National Key Laboratory of Operation and Control of New Power Systems of Tsinghua University, China, under Grant SKLD22KM18

Funders	Funder number
National Key Laboratory of Operation and Control of New Power Systems of Tsinghua University	SKLD22KM18
National Natural Science Foundation of China	52107175
Beijing Nova Program	Z211100002121080

Keywords

Energy storage
model predictive control
photovoltaic power systems
quasi-Z-source inverter

UN SDGs

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

Access to Document

10.1109/TIE.2022.3215451

Cite this

@article{796e38cb47c54e87a156e751649330fb,

title = "Model Predictive Control-Based Dual-Mode Operation of an Energy-Stored Quasi-Z-Source Photovoltaic Power System",

abstract = "The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations with simple structure and other advantages of Z-source inverter. The improved dual-mode (DM) ES-qZSI is able to support all-weather operation even at night or cloudy days when PV power is extremely low. However, the traditional proportional-integral (PI) based control suffers from complicated controller design and poor dynamic response during mode transition, due to two sets of PI control required for the daytime and night operation modes. In order to overcome that, in this article, we propose a model predictive control strategy for the DM-ES-qZSI PV power system. The system predictive models in both day and night operating modes are derived. The control strategy is disclosed to ensure high performance of the system, through calling the predictive models and defined cost functions of the two modes within a single control loop. Simulation and experiment are carried out to verify the effectiveness of the proposed control strategy.",

keywords = "Energy storage, model predictive control, photovoltaic power systems, quasi-Z-source inverter",

author = "Yushan Liu and Xuyang Liu and Xiao Li and Haiwen Yuan and Yaosuo Xue",

note = "Publisher Copyright: {\textcopyright} 1982-2012 IEEE.",

year = "2023",

month = sep,

day = "1",

doi = "10.1109/TIE.2022.3215451",

language = "English",

volume = "70",

pages = "9169--9180",

journal = "IEEE Transactions on Industrial Electronics",

issn = "0278-0046",

publisher = "Institute of Electrical and Electronics Engineers",

number = "9",

}

TY - JOUR

T1 - Model Predictive Control-Based Dual-Mode Operation of an Energy-Stored Quasi-Z-Source Photovoltaic Power System

AU - Liu, Yushan

AU - Liu, Xuyang

AU - Li, Xiao

AU - Yuan, Haiwen

AU - Xue, Yaosuo

PY - 2023/9/1

Y1 - 2023/9/1

N2 - The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations with simple structure and other advantages of Z-source inverter. The improved dual-mode (DM) ES-qZSI is able to support all-weather operation even at night or cloudy days when PV power is extremely low. However, the traditional proportional-integral (PI) based control suffers from complicated controller design and poor dynamic response during mode transition, due to two sets of PI control required for the daytime and night operation modes. In order to overcome that, in this article, we propose a model predictive control strategy for the DM-ES-qZSI PV power system. The system predictive models in both day and night operating modes are derived. The control strategy is disclosed to ensure high performance of the system, through calling the predictive models and defined cost functions of the two modes within a single control loop. Simulation and experiment are carried out to verify the effectiveness of the proposed control strategy.

AB - The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations with simple structure and other advantages of Z-source inverter. The improved dual-mode (DM) ES-qZSI is able to support all-weather operation even at night or cloudy days when PV power is extremely low. However, the traditional proportional-integral (PI) based control suffers from complicated controller design and poor dynamic response during mode transition, due to two sets of PI control required for the daytime and night operation modes. In order to overcome that, in this article, we propose a model predictive control strategy for the DM-ES-qZSI PV power system. The system predictive models in both day and night operating modes are derived. The control strategy is disclosed to ensure high performance of the system, through calling the predictive models and defined cost functions of the two modes within a single control loop. Simulation and experiment are carried out to verify the effectiveness of the proposed control strategy.

KW - Energy storage

KW - model predictive control

KW - photovoltaic power systems

KW - quasi-Z-source inverter

UR - http://www.scopus.com/inward/record.url?scp=85141493793&partnerID=8YFLogxK

U2 - 10.1109/TIE.2022.3215451

DO - 10.1109/TIE.2022.3215451

M3 - Article

AN - SCOPUS:85141493793

SN - 0278-0046

VL - 70

SP - 9169

EP - 9180

JO - IEEE Transactions on Industrial Electronics

JF - IEEE Transactions on Industrial Electronics

IS - 9

ER -

Model Predictive Control-Based Dual-Mode Operation of an Energy-Stored Quasi-Z-Source Photovoltaic Power System

Abstract

Funding

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this