Model predictive control of PV sources in a smart DC distribution system: Maximum power point tracking and droop control

Mohammad B. Shadmand, Robert Balog, Haitham Abu-Rub

Research output: Contribution to journalArticle

98 Citations (Scopus)

Abstract

In a dc distribution system, where multiple power sources supply a common bus, current sharing is an important issue. When renewable energy resources are considered, such as photovoltaic (PV), dc/dc converters are needed to decouple the source voltage, which can vary due to operating conditions and maximum power point tracking (MPPT), from the dc bus voltage. Since different sources may have different power delivery capacities that may vary with time, coordination of the interface to the bus is of paramount importance to ensure reliable system operation. Further, since these sources are most likely distributed throughout the system, distributed controls are needed to ensure a robust and fault tolerant control system. This paper presents a model predictive control-based MPPT and model predictive control-based droop current regulator to interface PV in smart dc distribution systems. Back-to-back dc/dc converters control both the input current from the PV module and the droop characteristic of the output current injected into the distribution bus. The predictive controller speeds up both of the control loops, since it predicts and corrects error before the switching signal is applied to the respective converter.

Original languageEnglish
Article number6948253
Pages (from-to)913-921
Number of pages9
JournalIEEE Transactions on Energy Conversion
Volume29
Issue number4
DOIs
Publication statusPublished - 1 Dec 2014

Fingerprint

Model predictive control
Renewable energy resources
Distributed parameter control systems
Electric potential
Control systems
Controllers

Keywords

  • DC microgrid
  • droop control
  • maximum power point tracking (MPPT)
  • model predictive control (MPC)
  • photovoltaic (PV)
  • photovoltaic systems

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Model predictive control of PV sources in a smart DC distribution system : Maximum power point tracking and droop control. / Shadmand, Mohammad B.; Balog, Robert; Abu-Rub, Haitham.

In: IEEE Transactions on Energy Conversion, Vol. 29, No. 4, 6948253, 01.12.2014, p. 913-921.

Research output: Contribution to journalArticle

@article{f10d931668514492886204f325e1a3f5,
title = "Model predictive control of PV sources in a smart DC distribution system: Maximum power point tracking and droop control",
abstract = "In a dc distribution system, where multiple power sources supply a common bus, current sharing is an important issue. When renewable energy resources are considered, such as photovoltaic (PV), dc/dc converters are needed to decouple the source voltage, which can vary due to operating conditions and maximum power point tracking (MPPT), from the dc bus voltage. Since different sources may have different power delivery capacities that may vary with time, coordination of the interface to the bus is of paramount importance to ensure reliable system operation. Further, since these sources are most likely distributed throughout the system, distributed controls are needed to ensure a robust and fault tolerant control system. This paper presents a model predictive control-based MPPT and model predictive control-based droop current regulator to interface PV in smart dc distribution systems. Back-to-back dc/dc converters control both the input current from the PV module and the droop characteristic of the output current injected into the distribution bus. The predictive controller speeds up both of the control loops, since it predicts and corrects error before the switching signal is applied to the respective converter.",
keywords = "DC microgrid, droop control, maximum power point tracking (MPPT), model predictive control (MPC), photovoltaic (PV), photovoltaic systems",
author = "Shadmand, {Mohammad B.} and Robert Balog and Haitham Abu-Rub",
year = "2014",
month = "12",
day = "1",
doi = "10.1109/TEC.2014.2362934",
language = "English",
volume = "29",
pages = "913--921",
journal = "IEEE Transactions on Energy Conversion",
issn = "0885-8969",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

TY - JOUR

T1 - Model predictive control of PV sources in a smart DC distribution system

T2 - Maximum power point tracking and droop control

AU - Shadmand, Mohammad B.

AU - Balog, Robert

AU - Abu-Rub, Haitham

PY - 2014/12/1

Y1 - 2014/12/1

N2 - In a dc distribution system, where multiple power sources supply a common bus, current sharing is an important issue. When renewable energy resources are considered, such as photovoltaic (PV), dc/dc converters are needed to decouple the source voltage, which can vary due to operating conditions and maximum power point tracking (MPPT), from the dc bus voltage. Since different sources may have different power delivery capacities that may vary with time, coordination of the interface to the bus is of paramount importance to ensure reliable system operation. Further, since these sources are most likely distributed throughout the system, distributed controls are needed to ensure a robust and fault tolerant control system. This paper presents a model predictive control-based MPPT and model predictive control-based droop current regulator to interface PV in smart dc distribution systems. Back-to-back dc/dc converters control both the input current from the PV module and the droop characteristic of the output current injected into the distribution bus. The predictive controller speeds up both of the control loops, since it predicts and corrects error before the switching signal is applied to the respective converter.

AB - In a dc distribution system, where multiple power sources supply a common bus, current sharing is an important issue. When renewable energy resources are considered, such as photovoltaic (PV), dc/dc converters are needed to decouple the source voltage, which can vary due to operating conditions and maximum power point tracking (MPPT), from the dc bus voltage. Since different sources may have different power delivery capacities that may vary with time, coordination of the interface to the bus is of paramount importance to ensure reliable system operation. Further, since these sources are most likely distributed throughout the system, distributed controls are needed to ensure a robust and fault tolerant control system. This paper presents a model predictive control-based MPPT and model predictive control-based droop current regulator to interface PV in smart dc distribution systems. Back-to-back dc/dc converters control both the input current from the PV module and the droop characteristic of the output current injected into the distribution bus. The predictive controller speeds up both of the control loops, since it predicts and corrects error before the switching signal is applied to the respective converter.

KW - DC microgrid

KW - droop control

KW - maximum power point tracking (MPPT)

KW - model predictive control (MPC)

KW - photovoltaic (PV)

KW - photovoltaic systems

UR - http://www.scopus.com/inward/record.url?scp=84913603309&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84913603309&partnerID=8YFLogxK

U2 - 10.1109/TEC.2014.2362934

DO - 10.1109/TEC.2014.2362934

M3 - Article

AN - SCOPUS:84913603309

VL - 29

SP - 913

EP - 921

JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

SN - 0885-8969

IS - 4

M1 - 6948253

ER -