Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids

<p>This paper presents a scheduling framework based algorithm for reducing/shaving the peak loads in a team of cooperating microgrids (TCM) powered smart buildings taking advantages of vehicle-to-building (V2B) concept and operational flexibilities of electric vehicles (EVs). Each microgrid in...

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Main Author: Ahmed Ouammi (14151039) (author)
Published: 2021
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author Ahmed Ouammi (14151039)
author_facet Ahmed Ouammi (14151039)
author_role author
dc.creator.none.fl_str_mv Ahmed Ouammi (14151039)
dc.date.none.fl_str_mv 2021-02-05T00:00:00Z
dc.identifier.none.fl_str_mv 10.1109/access.2021.3057458
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Peak_Loads_Shaving_in_a_Team_of_Cooperating_Smart_Buildings_Powered_Solar_PV-Based_Microgrids/24049317
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Automotive engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Distributed computing and systems software
Microgrids
Buildings
Smart buildings
Energy storage
Electric vehicles
Production
Predictive control
Cooperative smart buildings
Peak loads shaving
Team decision problem
Networked microgrids
Model predictive control
Solar PV
dc.title.none.fl_str_mv Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>This paper presents a scheduling framework based algorithm for reducing/shaving the peak loads in a team of cooperating microgrids (TCM) powered smart buildings taking advantages of vehicle-to-building (V2B) concept and operational flexibilities of electric vehicles (EVs). Each microgrid includes a roof-top solar PV, energy storage system, EVs, loads, and advanced metering and communication infrastructure. The main objective is to formulate a constrained optimization problem embedded in a model predictive control (MPC) scheme to optimally control the operation of each microgrid to reduce/shave the peak load in case of occurrence, optimizing the power flows exchanges and energy storages, while ensuring a high quality of service to the EVs owners in each microgrid. The developed predictive model is implemented as a smart energy management based high-level control of the TCM to reduce/shave the peak loads and satisfy the EVs power demands through a coordination of the power exchanges between the microgrids. The algorithm has been tested through a case study to demonstrate its performance and effectiveness.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3057458" target="_blank">https://dx.doi.org/10.1109/access.2021.3057458</a></p>
eu_rights_str_mv openAccess
id Manara2_ca1c7960a7789b6459fb8a5ed0de417e
identifier_str_mv 10.1109/access.2021.3057458
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/24049317
publishDate 2021
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based MicrogridsAhmed Ouammi (14151039)EngineeringAutomotive engineeringElectrical engineeringElectronics, sensors and digital hardwareInformation and computing sciencesDistributed computing and systems softwareMicrogridsBuildingsSmart buildingsEnergy storageElectric vehiclesProductionPredictive controlCooperative smart buildingsPeak loads shavingTeam decision problemNetworked microgridsModel predictive controlSolar PV<p>This paper presents a scheduling framework based algorithm for reducing/shaving the peak loads in a team of cooperating microgrids (TCM) powered smart buildings taking advantages of vehicle-to-building (V2B) concept and operational flexibilities of electric vehicles (EVs). Each microgrid includes a roof-top solar PV, energy storage system, EVs, loads, and advanced metering and communication infrastructure. The main objective is to formulate a constrained optimization problem embedded in a model predictive control (MPC) scheme to optimally control the operation of each microgrid to reduce/shave the peak load in case of occurrence, optimizing the power flows exchanges and energy storages, while ensuring a high quality of service to the EVs owners in each microgrid. The developed predictive model is implemented as a smart energy management based high-level control of the TCM to reduce/shave the peak loads and satisfy the EVs power demands through a coordination of the power exchanges between the microgrids. The algorithm has been tested through a case study to demonstrate its performance and effectiveness.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3057458" target="_blank">https://dx.doi.org/10.1109/access.2021.3057458</a></p>2021-02-05T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2021.3057458https://figshare.com/articles/journal_contribution/Peak_Loads_Shaving_in_a_Team_of_Cooperating_Smart_Buildings_Powered_Solar_PV-Based_Microgrids/24049317CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240493172021-02-05T00:00:00Z
spellingShingle Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
Ahmed Ouammi (14151039)
Engineering
Automotive engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Distributed computing and systems software
Microgrids
Buildings
Smart buildings
Energy storage
Electric vehicles
Production
Predictive control
Cooperative smart buildings
Peak loads shaving
Team decision problem
Networked microgrids
Model predictive control
Solar PV
status_str publishedVersion
title Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
title_full Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
title_fullStr Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
title_full_unstemmed Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
title_short Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
title_sort Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
topic Engineering
Automotive engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Distributed computing and systems software
Microgrids
Buildings
Smart buildings
Energy storage
Electric vehicles
Production
Predictive control
Cooperative smart buildings
Peak loads shaving
Team decision problem
Networked microgrids
Model predictive control
Solar PV