Consensus and Clustering Approach for Dynamic Event-Triggered Distributed Optimization of Power System Networks With Saturation Constraint Approche de consensus et de regroupement pour-Reference-Cited by-同舟云学术

Consensus and Clustering Approach for Dynamic Event-Triggered Distributed Optimization of Power System Networks With Saturation Constraint Approche de consensus et de regroupement pour

Published:2024 Issue:3 Volume:47 Page:136-147
ISSN:2694-1783
Container-title:IEEE Canadian Journal of Electrical and Computer Engineering
language:
Short-container-title:IEEE Can. J. Electr. Comput. Eng.

Author:

Ahmed Ijaz¹^ORCID,Rehan Muhammad¹^ORCID,Basit Abdul¹^ORCID,Saleh Al-Ismail Fahad²,Khalid Muhammad²^ORCID

Affiliation:

1. Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan

2. Electrical Engineering Department and the Interdisciplinary Research Center for Sus tainable Energy Systems, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

Funder

King Abdullah City for Atomic and Renewable Energy (K.A.CARE) at King Fahd University of Petroleum and Minerals

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9349829/10640255/10595846.pdf?arnumber=10595846

Reference56 articles.

1. A New Adaptive POL Converter Controller Design to Improve Bus Voltage Stability for DC Microgrid Application

2. A Packetized Energy Management Macromodel With Quality of Service Guarantees for Demand-Side Resources

3. A Novel Event-Triggered Consensus Approach for Generic Linear Multi-Agents Under Heterogeneous Sector-Restricted Input Nonlinearities

4. A Fixed-time Distributed Optimization Algorithm Based on Event-triggered Strategy

5. Event-Triggered Distributed Exponential H_∞ Observers Design for Discrete-Time Nonlinear Systems over Wireless Sensor Networks