Consensus-Based Load Frequency Control of a Multi-Area Power System

The integration of renewable energy sources into modern power grids presents challenges for load frequency control (LFC) due to the increased system dynamics and uncertainties introduced by variable generation sources. Traditional LFC methods are limited in their ability to handle multi-area, mixed-...

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Main Authors: Ravi Patel, Chathura Wanigasekara, Akshya Swain, Abhisek Ukil
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10763517/
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author Ravi Patel
Chathura Wanigasekara
Akshya Swain
Abhisek Ukil
author_facet Ravi Patel
Chathura Wanigasekara
Akshya Swain
Abhisek Ukil
author_sort Ravi Patel
collection DOAJ
description The integration of renewable energy sources into modern power grids presents challenges for load frequency control (LFC) due to the increased system dynamics and uncertainties introduced by variable generation sources. Traditional LFC methods are limited in their ability to handle multi-area, mixed-generation systems where synchronous and asynchronous generators, such as doubly fed induction generator (DFIG)-based wind energy conversion systems (WECS). To address these challenges, this study proposes a multi-agent-based framework using a consensus-based controller strategy to effectively regulate system frequency across a multi-area power network, including conventional and renewable generation sources. The proposed framework divides a large power system network into multiple control areas, each containing various generators. In each area, one generator is selected as an agent, and consensus-based controllers are designed to cooperate across agents, ensuring stable frequency regulation under abnormal conditions such as sudden load changes and faults across the network. The performance of the proposed controller is evaluated using the IEEE 39-bus test system, which includes 10 synchronous generators and 6 wind generators. Simulation results demonstrate that the consensus-based controller achieved up to 30% faster settling times and up to 25% reduction in overshoot during fault conditions, consistently providing a smoother and more stable frequency response. These findings highlight the improved stability and robustness of the proposed control strategy in maintaining system performance across various operating scenarios, demonstrating its superiority in handling the complex dynamics of mixed-generation power systems.
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spelling doaj-art-c1ec58f8f9ce4b44abeb5efc99c7e3a72025-08-20T02:06:50ZengIEEEIEEE Access2169-35362024-01-011217524017525110.1109/ACCESS.2024.350495210763517Consensus-Based Load Frequency Control of a Multi-Area Power SystemRavi Patel0https://orcid.org/0000-0001-8539-0762Chathura Wanigasekara1https://orcid.org/0000-0003-4371-6108Akshya Swain2https://orcid.org/0000-0002-5991-9033Abhisek Ukil3https://orcid.org/0000-0003-3100-7865Department of Electrical, Computer and Software Engineering, The University of Auckland, Auckland, New ZealandInstitute for the Protection of Maritime Infrastructures, German Aerospace Center (DLR), Bremerhaven, GermanyDepartment of Electrical, Computer and Software Engineering, The University of Auckland, Auckland, New ZealandDepartment of Electrical, Computer and Software Engineering, The University of Auckland, Auckland, New ZealandThe integration of renewable energy sources into modern power grids presents challenges for load frequency control (LFC) due to the increased system dynamics and uncertainties introduced by variable generation sources. Traditional LFC methods are limited in their ability to handle multi-area, mixed-generation systems where synchronous and asynchronous generators, such as doubly fed induction generator (DFIG)-based wind energy conversion systems (WECS). To address these challenges, this study proposes a multi-agent-based framework using a consensus-based controller strategy to effectively regulate system frequency across a multi-area power network, including conventional and renewable generation sources. The proposed framework divides a large power system network into multiple control areas, each containing various generators. In each area, one generator is selected as an agent, and consensus-based controllers are designed to cooperate across agents, ensuring stable frequency regulation under abnormal conditions such as sudden load changes and faults across the network. The performance of the proposed controller is evaluated using the IEEE 39-bus test system, which includes 10 synchronous generators and 6 wind generators. Simulation results demonstrate that the consensus-based controller achieved up to 30% faster settling times and up to 25% reduction in overshoot during fault conditions, consistently providing a smoother and more stable frequency response. These findings highlight the improved stability and robustness of the proposed control strategy in maintaining system performance across various operating scenarios, demonstrating its superiority in handling the complex dynamics of mixed-generation power systems.https://ieeexplore.ieee.org/document/10763517/Mulit-agent controlfrequency controlconsensus controlpower systemsrenewable energywind generator
spellingShingle Ravi Patel
Chathura Wanigasekara
Akshya Swain
Abhisek Ukil
Consensus-Based Load Frequency Control of a Multi-Area Power System
IEEE Access
Mulit-agent control
frequency control
consensus control
power systems
renewable energy
wind generator
title Consensus-Based Load Frequency Control of a Multi-Area Power System
title_full Consensus-Based Load Frequency Control of a Multi-Area Power System
title_fullStr Consensus-Based Load Frequency Control of a Multi-Area Power System
title_full_unstemmed Consensus-Based Load Frequency Control of a Multi-Area Power System
title_short Consensus-Based Load Frequency Control of a Multi-Area Power System
title_sort consensus based load frequency control of a multi area power system
topic Mulit-agent control
frequency control
consensus control
power systems
renewable energy
wind generator
url https://ieeexplore.ieee.org/document/10763517/
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AT chathurawanigasekara consensusbasedloadfrequencycontrolofamultiareapowersystem
AT akshyaswain consensusbasedloadfrequencycontrolofamultiareapowersystem
AT abhisekukil consensusbasedloadfrequencycontrolofamultiareapowersystem