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Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system

The state-of-charge (SoC) of an energy storage system (ESS) should be kept in a certain safe range for ensuring its state-of-health (SoH) as well as higher efficiency. This procedure maximizes the power capacity of the ESSs all the times. Furthermore, economic load dispatch (ELD) is implemented to a...

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Autores principales: Ullah, Shafaat, Khan, Laiq, Badar, Rabiah, Ullah, Ameen, Karam, Fazal Wahab, Khan, Zain Ahmad, Rehman, Atiq Ur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224468/
https://www.ncbi.nlm.nih.gov/pubmed/32407395
http://dx.doi.org/10.1371/journal.pone.0232638
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author Ullah, Shafaat
Khan, Laiq
Badar, Rabiah
Ullah, Ameen
Karam, Fazal Wahab
Khan, Zain Ahmad
Rehman, Atiq Ur
author_facet Ullah, Shafaat
Khan, Laiq
Badar, Rabiah
Ullah, Ameen
Karam, Fazal Wahab
Khan, Zain Ahmad
Rehman, Atiq Ur
author_sort Ullah, Shafaat
collection PubMed
description The state-of-charge (SoC) of an energy storage system (ESS) should be kept in a certain safe range for ensuring its state-of-health (SoH) as well as higher efficiency. This procedure maximizes the power capacity of the ESSs all the times. Furthermore, economic load dispatch (ELD) is implemented to allocate power among various ESSs, with the aim of fully meeting the load demand and reducing the total operating cost. In this research article, a distributed multi-agent consensus based control algorithm is proposed for multiple battery energy storage systems (BESSs), operating in a microgrid (MG), for fulfilling several objectives, including: SoC trajectories tracking control, economic load dispatch, active and reactive power sharing control, and voltage and frequency regulation (using the leader-follower consensus approach). The proposed algorithm considers the hierarchical control structure of the BESSs and the frequency/voltage droop controllers with limited information exchange among the BESSs. It embodies both self and communication time-delays, and achieves its objectives along with offering plug-and-play capability and robustness against communication link failure. Matlab/Simulink platform is used to test and validate the performance of the proposed algorithm under load disturbances through extensive simulations carried out on a modified IEEE 57-bus system. A detailed comparative analysis of the proposed distributed control strategy is carried out with the distributed PI-based conventional control strategy for demonstrating its superior performance.
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spelling pubmed-72244682020-06-01 Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system Ullah, Shafaat Khan, Laiq Badar, Rabiah Ullah, Ameen Karam, Fazal Wahab Khan, Zain Ahmad Rehman, Atiq Ur PLoS One Research Article The state-of-charge (SoC) of an energy storage system (ESS) should be kept in a certain safe range for ensuring its state-of-health (SoH) as well as higher efficiency. This procedure maximizes the power capacity of the ESSs all the times. Furthermore, economic load dispatch (ELD) is implemented to allocate power among various ESSs, with the aim of fully meeting the load demand and reducing the total operating cost. In this research article, a distributed multi-agent consensus based control algorithm is proposed for multiple battery energy storage systems (BESSs), operating in a microgrid (MG), for fulfilling several objectives, including: SoC trajectories tracking control, economic load dispatch, active and reactive power sharing control, and voltage and frequency regulation (using the leader-follower consensus approach). The proposed algorithm considers the hierarchical control structure of the BESSs and the frequency/voltage droop controllers with limited information exchange among the BESSs. It embodies both self and communication time-delays, and achieves its objectives along with offering plug-and-play capability and robustness against communication link failure. Matlab/Simulink platform is used to test and validate the performance of the proposed algorithm under load disturbances through extensive simulations carried out on a modified IEEE 57-bus system. A detailed comparative analysis of the proposed distributed control strategy is carried out with the distributed PI-based conventional control strategy for demonstrating its superior performance. Public Library of Science 2020-05-14 /pmc/articles/PMC7224468/ /pubmed/32407395 http://dx.doi.org/10.1371/journal.pone.0232638 Text en © 2020 Ullah et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ullah, Shafaat
Khan, Laiq
Badar, Rabiah
Ullah, Ameen
Karam, Fazal Wahab
Khan, Zain Ahmad
Rehman, Atiq Ur
Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system
title Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system
title_full Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system
title_fullStr Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system
title_full_unstemmed Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system
title_short Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system
title_sort consensus based soc trajectory tracking control design for economic-dispatched distributed battery energy storage system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224468/
https://www.ncbi.nlm.nih.gov/pubmed/32407395
http://dx.doi.org/10.1371/journal.pone.0232638
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