Standalone DC microgrids as complementarity dynamical systems: Modeling and applications

Arash Dizqah; Alireza Maheri; Krishna Busawon; Peter Fritzson

doi:10.1016/j.conengprac.2014.10.006

Standalone DC microgrids as complementarity dynamical systems: Modeling and applications

Arash Dizqah, Alireza Maheri, Krishna Busawon, Peter Fritzson

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

20 Citations (Scopus)

Abstract

It is well known that, due to bimodal operation as well as existent discontinuous differential states of batteries, standalone microgrids belong to the class of hybrid dynamical systems of non-Filippov type. In this work, however, standalone microgrids are presented as complementarity systems (CSs) of the Filippov type which is then used to develop a multivariable nonlinear model predictive control (NMPC)-based load tracking strategy as well as Modelica models for long-term simulation purposes. The developed load tracker strategy is a multi-source maximum power point tracker (MPPT) that also regulates the DC bus voltage at its nominal value with the maximum of ±2.0% error despite substantial demand and supply variations.

Original language	English
Pages (from-to)	102–112
Journal	Control Engineering Practice
Volume	35
Early online date	6 Jan 2015
DOIs	https://doi.org/10.1016/j.conengprac.2014.10.006
Publication status	Published - Feb 2015

Keywords

Nonlinear model predictive control (NMPC)
Wind energy
Photovoltaic (PV)
Lead-acid battery
Modelica
Maximum power point tracking (MPPT)

UN SDGs

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

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10.1016/j.conengprac.2014.10.006

Cite this

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title = "Standalone DC microgrids as complementarity dynamical systems: Modeling and applications",

abstract = "It is well known that, due to bimodal operation as well as existent discontinuous differential states of batteries, standalone microgrids belong to the class of hybrid dynamical systems of non-Filippov type. In this work, however, standalone microgrids are presented as complementarity systems (CSs) of the Filippov type which is then used to develop a multivariable nonlinear model predictive control (NMPC)-based load tracking strategy as well as Modelica models for long-term simulation purposes. The developed load tracker strategy is a multi-source maximum power point tracker (MPPT) that also regulates the DC bus voltage at its nominal value with the maximum of ±2.0% error despite substantial demand and supply variations.",

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author = "Arash Dizqah and Alireza Maheri and Krishna Busawon and Peter Fritzson",

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language = "English",

volume = "35",

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journal = "Control Engineering Practice",

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T1 - Standalone DC microgrids as complementarity dynamical systems: Modeling and applications

AU - Dizqah, Arash

AU - Maheri, Alireza

AU - Busawon, Krishna

AU - Fritzson, Peter

PY - 2015/2

Y1 - 2015/2

N2 - It is well known that, due to bimodal operation as well as existent discontinuous differential states of batteries, standalone microgrids belong to the class of hybrid dynamical systems of non-Filippov type. In this work, however, standalone microgrids are presented as complementarity systems (CSs) of the Filippov type which is then used to develop a multivariable nonlinear model predictive control (NMPC)-based load tracking strategy as well as Modelica models for long-term simulation purposes. The developed load tracker strategy is a multi-source maximum power point tracker (MPPT) that also regulates the DC bus voltage at its nominal value with the maximum of ±2.0% error despite substantial demand and supply variations.

AB - It is well known that, due to bimodal operation as well as existent discontinuous differential states of batteries, standalone microgrids belong to the class of hybrid dynamical systems of non-Filippov type. In this work, however, standalone microgrids are presented as complementarity systems (CSs) of the Filippov type which is then used to develop a multivariable nonlinear model predictive control (NMPC)-based load tracking strategy as well as Modelica models for long-term simulation purposes. The developed load tracker strategy is a multi-source maximum power point tracker (MPPT) that also regulates the DC bus voltage at its nominal value with the maximum of ±2.0% error despite substantial demand and supply variations.

KW - Nonlinear model predictive control (NMPC)

KW - Wind energy

KW - Photovoltaic (PV)

KW - Lead-acid battery

KW - Modelica

KW - Maximum power point tracking (MPPT)

U2 - 10.1016/j.conengprac.2014.10.006

DO - 10.1016/j.conengprac.2014.10.006

M3 - Article

SN - 0967-0661

VL - 35

SP - 102

EP - 112

JO - Control Engineering Practice

JF - Control Engineering Practice

ER -

Standalone DC microgrids as complementarity dynamical systems: Modeling and applications

Abstract

Keywords

UN SDGs

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