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
N1 - Publisher Copyright:
© 2023 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85174900010&partnerID=8YFLogxK
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
SP - 189
EP - 190
BT - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 July 2023 through 19 July 2023
ER -
