Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model

Muhammad Majid Gulzar; Muhammad Munaward; Fahad Alismail; Muhammad Khalid

doi:10.1109/GlobConHT56829.2023.10087559

Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model

Muhammad Majid Gulzar, Muhammad Munaward, Fahad Alismail, Muhammad Khalid

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

5 Scopus citations

Abstract

Consensus is one of the most actively studied topics within the realm of multi-agent systems. It generally aims to drive flocks to achieve a common group objective. In this study, a Cucker-Smale model for consensus algorithm has been implemented to resolve the issue of flocking for power systems. By using this model, consensus can be achieved by randomly chosing the initial positions and velocities of the birds with a minimum number of iterations. Moreover, at the end the simulation results for 7 and 25 birds have been presented to confirm the convergence of the agent's average velocities and directions.

Original language	English
Title of host publication	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350332117
DOIs	https://doi.org/10.1109/GlobConHT56829.2023.10087559
State	Published - 2023
Event	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives Duration: 11 Mar 2023 → 12 Mar 2023

Publication series

Name	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Conference

Conference	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Country/Territory	Maldives
City	Male
Period	11/03/23 → 12/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Consensus algorithm
Cucker-Smale model
Flocking
Iterations
Multi-agent systems

ASJC Scopus subject areas

Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Fuel Technology
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/GlobConHT56829.2023.10087559

Cite this

Gulzar, M. M., Munaward, M., Alismail, F., & Khalid, M. (2023). Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model. In 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobConHT56829.2023.10087559

Gulzar, Muhammad Majid ; Munaward, Muhammad ; Alismail, Fahad et al. / Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

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title = "Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model",

abstract = "Consensus is one of the most actively studied topics within the realm of multi-agent systems. It generally aims to drive flocks to achieve a common group objective. In this study, a Cucker-Smale model for consensus algorithm has been implemented to resolve the issue of flocking for power systems. By using this model, consensus can be achieved by randomly chosing the initial positions and velocities of the birds with a minimum number of iterations. Moreover, at the end the simulation results for 7 and 25 birds have been presented to confirm the convergence of the agent's average velocities and directions.",

keywords = "Consensus algorithm, Cucker-Smale model, Flocking, Iterations, Multi-agent systems",

author = "Gulzar, \{Muhammad Majid\} and Muhammad Munaward and Fahad Alismail and Muhammad Khalid",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 ; Conference date: 11-03-2023 Through 12-03-2023",

year = "2023",

doi = "10.1109/GlobConHT56829.2023.10087559",

language = "English",

series = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",

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

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Gulzar, MM, Munaward, M, Alismail, F & Khalid, M 2023, Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model. in 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Male, Maldives, 11/03/23. https://doi.org/10.1109/GlobConHT56829.2023.10087559

Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model. / Gulzar, Muhammad Majid; Munaward, Muhammad; Alismail, Fahad et al.
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

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

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AU - Gulzar, Muhammad Majid

AU - Munaward, Muhammad

AU - Alismail, Fahad

AU - Khalid, Muhammad

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N2 - Consensus is one of the most actively studied topics within the realm of multi-agent systems. It generally aims to drive flocks to achieve a common group objective. In this study, a Cucker-Smale model for consensus algorithm has been implemented to resolve the issue of flocking for power systems. By using this model, consensus can be achieved by randomly chosing the initial positions and velocities of the birds with a minimum number of iterations. Moreover, at the end the simulation results for 7 and 25 birds have been presented to confirm the convergence of the agent's average velocities and directions.

AB - Consensus is one of the most actively studied topics within the realm of multi-agent systems. It generally aims to drive flocks to achieve a common group objective. In this study, a Cucker-Smale model for consensus algorithm has been implemented to resolve the issue of flocking for power systems. By using this model, consensus can be achieved by randomly chosing the initial positions and velocities of the birds with a minimum number of iterations. Moreover, at the end the simulation results for 7 and 25 birds have been presented to confirm the convergence of the agent's average velocities and directions.

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KW - Iterations

KW - Multi-agent systems

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DO - 10.1109/GlobConHT56829.2023.10087559

M3 - Conference contribution

AN - SCOPUS:85153570980

T3 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

BT - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 11 March 2023 through 12 March 2023

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Gulzar MM, Munaward M, Alismail F , Khalid M. Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model. In 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). doi: 10.1109/GlobConHT56829.2023.10087559

Finite-time Consensus Algorithm for Power Systems using Cucker-Smale Model

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this