Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management

A. Sujil; Rajesh Kumar; Ramesh C. Bansal; Raj M. Naidoo

doi:10.1109/AUPEC52110.2021.9597830

Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management

A. Sujil
, Rajesh Kumar
, Ramesh C. Bansal
, Raj M. Naidoo

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

4 Citations (Scopus)

Abstract

The addition of highly intermittent and unpredictable renewable energy resources significantly changes the dynamics of the system. Therefore, the control strategies used in past decades for microgrid (MG) energy management are no longer applicable and need to be exchanged with recent control techniques. This paper proposes a multi agent system (MAS) platform and an architecture for the study of autonomous energy management in a MG. The proposed Stateflow platform is an environment which is used to model the decision logics and controls using the concept of flow charts and state machines. The proposed hybrid platform combines the strengths of Simulink with Stateflow's decision-making and reactive capabilities. The developed MAS has been tested on a real time MG, simulated in Simulink. The simulation results clearly show the effectiveness and applicability of the proposed MAS.

Original language	English
Title of host publication	Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021
Editors	Sumedha Rajakaruna, Ahmed Abu Siada, Ho Ching Iu, Arindam Ghosh, Tyrone Fernando
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665434515
DOIs	https://doi.org/10.1109/AUPEC52110.2021.9597830
Publication status	Published - 2021
Externally published	Yes
Event	31st Australasian Universities Power Engineering Conference, AUPEC 2021 - Virtual, Online, Australia Duration: 26 Sept 2021 → 30 Sept 2021

Publication series

Name	Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021

Conference

Conference	31st Australasian Universities Power Engineering Conference, AUPEC 2021
Country/Territory	Australia
City	Virtual, Online
Period	26/09/21 → 30/09/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy Management
Energy Storage System
Microgrid
Modeling and Simulation
Multi Agent System. Distributed Energy Resources

ASJC Scopus subject areas

Fuel Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Mechanical Engineering
Energy Engineering and Power Technology

Access to Document

10.1109/AUPEC52110.2021.9597830

Cite this

Sujil, A., Kumar, R., Bansal, R. C., & Naidoo, R. M. (2021). Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management. In S. Rajakaruna, A. A. Siada, H. C. Iu, A. Ghosh, & T. Fernando (Eds.), Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021 (Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AUPEC52110.2021.9597830

Sujil, A. ; Kumar, Rajesh ; Bansal, Ramesh C. et al. / Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management. Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021. editor / Sumedha Rajakaruna ; Ahmed Abu Siada ; Ho Ching Iu ; Arindam Ghosh ; Tyrone Fernando. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021).

@inproceedings{24ad6be2c8b44f0593872acfdb2eeac4,

title = "Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management",

abstract = "The addition of highly intermittent and unpredictable renewable energy resources significantly changes the dynamics of the system. Therefore, the control strategies used in past decades for microgrid (MG) energy management are no longer applicable and need to be exchanged with recent control techniques. This paper proposes a multi agent system (MAS) platform and an architecture for the study of autonomous energy management in a MG. The proposed Stateflow platform is an environment which is used to model the decision logics and controls using the concept of flow charts and state machines. The proposed hybrid platform combines the strengths of Simulink with Stateflow's decision-making and reactive capabilities. The developed MAS has been tested on a real time MG, simulated in Simulink. The simulation results clearly show the effectiveness and applicability of the proposed MAS.",

keywords = "Energy Management, Energy Storage System, Microgrid, Modeling and Simulation, Multi Agent System. Distributed Energy Resources",

author = "A. Sujil and Rajesh Kumar and Bansal, \{Ramesh C.\} and Naidoo, \{Raj M.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 31st Australasian Universities Power Engineering Conference, AUPEC 2021 ; Conference date: 26-09-2021 Through 30-09-2021",

year = "2021",

doi = "10.1109/AUPEC52110.2021.9597830",

language = "English",

series = "Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021",

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

editor = "Sumedha Rajakaruna and Siada, \{Ahmed Abu\} and Iu, \{Ho Ching\} and Arindam Ghosh and Tyrone Fernando",

booktitle = "Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021",

address = "United States",

}

Sujil, A, Kumar, R, Bansal, RC & Naidoo, RM 2021, Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management. in S Rajakaruna, AA Siada, HC Iu, A Ghosh & T Fernando (eds), Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021. Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021, Institute of Electrical and Electronics Engineers Inc., 31st Australasian Universities Power Engineering Conference, AUPEC 2021, Virtual, Online, Australia, 26/09/21. https://doi.org/10.1109/AUPEC52110.2021.9597830

Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management. / Sujil, A.; Kumar, Rajesh; Bansal, Ramesh C. et al.
Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021. ed. / Sumedha Rajakaruna; Ahmed Abu Siada; Ho Ching Iu; Arindam Ghosh; Tyrone Fernando. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021).

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

TY - GEN

T1 - Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management

AU - Sujil, A.

AU - Kumar, Rajesh

AU - Bansal, Ramesh C.

AU - Naidoo, Raj M.

PY - 2021

Y1 - 2021

N2 - The addition of highly intermittent and unpredictable renewable energy resources significantly changes the dynamics of the system. Therefore, the control strategies used in past decades for microgrid (MG) energy management are no longer applicable and need to be exchanged with recent control techniques. This paper proposes a multi agent system (MAS) platform and an architecture for the study of autonomous energy management in a MG. The proposed Stateflow platform is an environment which is used to model the decision logics and controls using the concept of flow charts and state machines. The proposed hybrid platform combines the strengths of Simulink with Stateflow's decision-making and reactive capabilities. The developed MAS has been tested on a real time MG, simulated in Simulink. The simulation results clearly show the effectiveness and applicability of the proposed MAS.

AB - The addition of highly intermittent and unpredictable renewable energy resources significantly changes the dynamics of the system. Therefore, the control strategies used in past decades for microgrid (MG) energy management are no longer applicable and need to be exchanged with recent control techniques. This paper proposes a multi agent system (MAS) platform and an architecture for the study of autonomous energy management in a MG. The proposed Stateflow platform is an environment which is used to model the decision logics and controls using the concept of flow charts and state machines. The proposed hybrid platform combines the strengths of Simulink with Stateflow's decision-making and reactive capabilities. The developed MAS has been tested on a real time MG, simulated in Simulink. The simulation results clearly show the effectiveness and applicability of the proposed MAS.

KW - Energy Management

KW - Energy Storage System

KW - Microgrid

KW - Modeling and Simulation

KW - Multi Agent System. Distributed Energy Resources

UR - https://www.scopus.com/pages/publications/85123282551

U2 - 10.1109/AUPEC52110.2021.9597830

DO - 10.1109/AUPEC52110.2021.9597830

M3 - Conference contribution

AN - SCOPUS:85123282551

T3 - Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021

BT - Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021

A2 - Rajakaruna, Sumedha

A2 - Siada, Ahmed Abu

A2 - Iu, Ho Ching

A2 - Ghosh, Arindam

A2 - Fernando, Tyrone

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st Australasian Universities Power Engineering Conference, AUPEC 2021

Y2 - 26 September 2021 through 30 September 2021

ER -

Sujil A, Kumar R, Bansal RC, Naidoo RM. Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management. In Rajakaruna S, Siada AA, Iu HC, Ghosh A, Fernando T, editors, Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021). doi: 10.1109/AUPEC52110.2021.9597830

Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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