Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing

Saher Javaid; Iacovos I. Ioannou; Andreas Pitsillides; Yasuo Tan

doi:10.1109/ICCE-Taiwan58799.2023.10226739

Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing

Saher Javaid
, Iacovos I. Ioannou
, Andreas Pitsillides
, Yasuo Tan

Japan Advanced Institute of Science and Technology
University of Cyprus

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

5 Citations (Scopus)

Abstract

Green energy sources including wind turbines and solar generating systems play a significant role in power systems due to their low environmental impact. However, their generated power is highly variable, posing an unpredictable danger of power fluctuations. As a result, power fluctuations can affect the quality and stability of the power grid, hence making the power imbalance a formidable problem. Traditional control and management techniques have many limitations in measuring, transmitting, and controlling power data between power devices. To achieve power balancing in each time instance, artificial intelligence (AI) techniques are needed to realize truly real-time power control. This paper promotes the application of distributed AI framework for a power system with renewable power sources, loads, and storage devices to achieve power balancing.

Original language	English
Title of host publication	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	189-190
Number of pages	2
ISBN (Electronic)	9798350324174
DOIs	https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226739
Publication status	Published - 2023
Externally published	Yes
Event	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan, Province of China Duration: 17 Jul 2023 → 19 Jul 2023

Publication series

Name	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference	2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Country/Territory	Taiwan, Province of China
City	Pingtung
Period	17/07/23 → 19/07/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Information Systems
Information Systems and Management
Electrical and Electronic Engineering
Media Technology
Instrumentation

Access to Document

10.1109/ICCE-Taiwan58799.2023.10226739

Cite this

Javaid, S., Ioannou, I. I., Pitsillides, A., & Tan, Y. (2023). Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing. In 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings (pp. 189-190). (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226739

Javaid, Saher ; Ioannou, Iacovos I. ; Pitsillides, Andreas et al. / Motivating an Agent-based Distributed AI Framework for Renewable Integration : Power Balancing. 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 189-190 (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings).

@inproceedings{15d27af18d6d4166995b98be27dbc022,

title = "Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing",

abstract = "Green energy sources including wind turbines and solar generating systems play a significant role in power systems due to their low environmental impact. However, their generated power is highly variable, posing an unpredictable danger of power fluctuations. As a result, power fluctuations can affect the quality and stability of the power grid, hence making the power imbalance a formidable problem. Traditional control and management techniques have many limitations in measuring, transmitting, and controlling power data between power devices. To achieve power balancing in each time instance, artificial intelligence (AI) techniques are needed to realize truly real-time power control. This paper promotes the application of distributed AI framework for a power system with renewable power sources, loads, and storage devices to achieve power balancing.",

author = "Saher Javaid and Ioannou, \{Iacovos I.\} and Andreas Pitsillides and Yasuo Tan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 ; Conference date: 17-07-2023 Through 19-07-2023",

year = "2023",

doi = "10.1109/ICCE-Taiwan58799.2023.10226739",

language = "English",

series = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",

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

pages = "189--190",

booktitle = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",

address = "United States",

}

Javaid, S, Ioannou, II, Pitsillides, A & Tan, Y 2023, Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing. in 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 189-190, 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023, Pingtung, Taiwan, Province of China, 17/07/23. https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226739

Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing. / Javaid, Saher; Ioannou, Iacovos I.; Pitsillides, Andreas et al.
2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 189-190 (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings).

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

TY - GEN

T1 - Motivating an Agent-based Distributed AI Framework for Renewable Integration

T2 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

AU - Javaid, Saher

AU - Ioannou, Iacovos I.

AU - Pitsillides, Andreas

AU - Tan, Yasuo

PY - 2023

Y1 - 2023

N2 - Green energy sources including wind turbines and solar generating systems play a significant role in power systems due to their low environmental impact. However, their generated power is highly variable, posing an unpredictable danger of power fluctuations. As a result, power fluctuations can affect the quality and stability of the power grid, hence making the power imbalance a formidable problem. Traditional control and management techniques have many limitations in measuring, transmitting, and controlling power data between power devices. To achieve power balancing in each time instance, artificial intelligence (AI) techniques are needed to realize truly real-time power control. This paper promotes the application of distributed AI framework for a power system with renewable power sources, loads, and storage devices to achieve power balancing.

AB - Green energy sources including wind turbines and solar generating systems play a significant role in power systems due to their low environmental impact. However, their generated power is highly variable, posing an unpredictable danger of power fluctuations. As a result, power fluctuations can affect the quality and stability of the power grid, hence making the power imbalance a formidable problem. Traditional control and management techniques have many limitations in measuring, transmitting, and controlling power data between power devices. To achieve power balancing in each time instance, artificial intelligence (AI) techniques are needed to realize truly real-time power control. This paper promotes the application of distributed AI framework for a power system with renewable power sources, loads, and storage devices to achieve power balancing.

UR - https://www.scopus.com/pages/publications/85174900010

U2 - 10.1109/ICCE-Taiwan58799.2023.10226739

DO - 10.1109/ICCE-Taiwan58799.2023.10226739

M3 - Conference contribution

AN - SCOPUS:85174900010

T3 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

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BT - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Javaid S, Ioannou II, Pitsillides A, Tan Y. Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing. In 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 189-190. (2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings). doi: 10.1109/ICCE-Taiwan58799.2023.10226739

Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

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