Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid

Yeliz Yoldas; Ahmet Onen; Khaled Mohammad Salman Alawasa; Abdelsalam El Haffar; Razzaqul Ahshan; S. M. Muyeen; Md. Rabiul Islam

doi:10.1109/ASEMD59061.2023.10368896

Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid

Yeliz Yoldas, Ahmet Onen^*, Khaled Mohammad Salman Alawasa, Abdelsalam El Haffar, Razzaqul Ahshan, S. M. Muyeen, Md. Rabiul Islam

^*Corresponding author for this work

Electrical and Computer Engineering

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

Abstract

The multi-agent energy management system (EMS) is needed to coordinate multiple agents of a microgrid to provide efficient operation of the system. In this study, multi-agent EMS is seen as the middle controller between primary and tertiary control levels. It is responsible for determining the relevant set points based on data gathered from the tertiary control level and sending them to the appropriate primary control level agents. The main objective of this paper is to propose a new optimization model for multi-agent EMS to minimize errors between the forecasted and real-time data at every predetermined time interval. Rather than using a traditional centralized microgrid controller to determine the dispatch of resources, a new framework-based multi-agent coordination is proposed to achieve the following objectives: minimizing load shedding, maximizing load dispatch and reliability, providing frequency, and maintaining voltage stability.

Original language	English
Title of host publication	2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350301571
DOIs	https://doi.org/10.1109/ASEMD59061.2023.10368896
Publication status	Published - Oct 27 2023
Event	2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023 - Tianjin, China Duration: Oct 27 2023 → Oct 29 2023

Publication series

Name	2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023

Conference

Conference	2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023
Country/Territory	China
City	Tianjin
Period	10/27/23 → 10/29/23

Keywords

Dynamic energy management
microgrid
optimal control
secondary control

ASJC Scopus subject areas

Surfaces, Coatings and Films
Instrumentation
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Mechanical Engineering
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/ASEMD59061.2023.10368896

Cite this

Yoldas, Y., Onen, A., Mohammad Salman Alawasa, K., Haffar, A. E., Ahshan, R., Muyeen, S. M., & Islam, M. R. (2023). Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid. In 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China (2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASEMD59061.2023.10368896

Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid. / Yoldas, Yeliz; Onen, Ahmet ; Mohammad Salman Alawasa, Khaled et al.
2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China . Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023).

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

Yoldas, Y, Onen, A , Mohammad Salman Alawasa, K, Haffar, AE, Ahshan, R, Muyeen, SM & Islam, MR 2023, Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid. in 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China . 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023, Tianjin, China, 10/27/23. https://doi.org/10.1109/ASEMD59061.2023.10368896

Yoldas Y, Onen A , Mohammad Salman Alawasa K, Haffar AE, Ahshan R, Muyeen SM et al. Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid. In 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China . Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023). doi: 10.1109/ASEMD59061.2023.10368896

Yoldas, Yeliz ; Onen, Ahmet ; Mohammad Salman Alawasa, Khaled et al. / Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid. 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China . Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023).

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AU - Ahshan, Razzaqul

AU - Muyeen, S. M.

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AB - The multi-agent energy management system (EMS) is needed to coordinate multiple agents of a microgrid to provide efficient operation of the system. In this study, multi-agent EMS is seen as the middle controller between primary and tertiary control levels. It is responsible for determining the relevant set points based on data gathered from the tertiary control level and sending them to the appropriate primary control level agents. The main objective of this paper is to propose a new optimization model for multi-agent EMS to minimize errors between the forecasted and real-time data at every predetermined time interval. Rather than using a traditional centralized microgrid controller to determine the dispatch of resources, a new framework-based multi-agent coordination is proposed to achieve the following objectives: minimizing load shedding, maximizing load dispatch and reliability, providing frequency, and maintaining voltage stability.

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Implementation of Multi-Agent Energy Management for Secondary Control of a Microgrid

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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