Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities

The rising energy demand, coupled with increased integration of distributed energy resources (DERs) and fluctuating renewable generation, underscores the need for effective load management within energy communities. This paper addresses these challenges by implementing effective, constraint-aware lo...

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Main Authors: Dimitra G. Kyriakou, Fotios D. Kanellos, George J. Tsekouras, Konstantinos A. Moungos
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/2/343
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author Dimitra G. Kyriakou
Fotios D. Kanellos
George J. Tsekouras
Konstantinos A. Moungos
author_facet Dimitra G. Kyriakou
Fotios D. Kanellos
George J. Tsekouras
Konstantinos A. Moungos
author_sort Dimitra G. Kyriakou
collection DOAJ
description The rising energy demand, coupled with increased integration of distributed energy resources (DERs) and fluctuating renewable generation, underscores the need for effective load management within energy communities. This paper addresses these challenges by implementing effective, constraint-aware load shifting within microgrid-based energy communities. Specifically, the goal of this study is to flatten the electrical load profile of a High-Voltage (HV)/Medium-Voltage (MV) power transformer. The load of a central power transformer includes (a) the diverse, fluctuating electrical and thermal demands of buildings within the energy community and (b) the load of the area supplied by the substation excluding the energy community loads. To achieve a flattened load profile, we apply time shifting to both electrical and heating, ventilation, and air conditioning (HVAC) loads of the energy community, allowing for a redistribution of energy consumption over time. This approach entails shifting non-critical loads, particularly those related to HVAC and other building operations, to off-peak periods. The methodology considers critical operational constraints, such as maintaining occupant thermal comfort, ensuring compliance with building codes, and adhering to technical specifications of HVAC and electrical systems and microgrid organized energy communities. Detailed simulations were conducted to prove the effectiveness of this constraint-aware load-shifting approach.
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spelling doaj-art-39ef5ed63a234bad9c5fbb33d8e77bf02025-01-24T13:31:07ZengMDPI AGEnergies1996-10732025-01-0118234310.3390/en18020343Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy CommunitiesDimitra G. Kyriakou0Fotios D. Kanellos1George J. Tsekouras2Konstantinos A. Moungos3School of Electrical and Computer Engineering, Technical University of Crete, 73100 Chania, GreeceSchool of Electrical and Computer Engineering, Technical University of Crete, 73100 Chania, GreeceDepartment of Electrical and Electronics Engineering, University of West Attica, 250 Thivon Str., 12241 Athens, GreeceSchool of Electrical and Computer Engineering, Technical University of Crete, 73100 Chania, GreeceThe rising energy demand, coupled with increased integration of distributed energy resources (DERs) and fluctuating renewable generation, underscores the need for effective load management within energy communities. This paper addresses these challenges by implementing effective, constraint-aware load shifting within microgrid-based energy communities. Specifically, the goal of this study is to flatten the electrical load profile of a High-Voltage (HV)/Medium-Voltage (MV) power transformer. The load of a central power transformer includes (a) the diverse, fluctuating electrical and thermal demands of buildings within the energy community and (b) the load of the area supplied by the substation excluding the energy community loads. To achieve a flattened load profile, we apply time shifting to both electrical and heating, ventilation, and air conditioning (HVAC) loads of the energy community, allowing for a redistribution of energy consumption over time. This approach entails shifting non-critical loads, particularly those related to HVAC and other building operations, to off-peak periods. The methodology considers critical operational constraints, such as maintaining occupant thermal comfort, ensuring compliance with building codes, and adhering to technical specifications of HVAC and electrical systems and microgrid organized energy communities. Detailed simulations were conducted to prove the effectiveness of this constraint-aware load-shifting approach.https://www.mdpi.com/1996-1073/18/2/343energy communitiesload shiftingflatteningbuilding energy systemspower dispatch
spellingShingle Dimitra G. Kyriakou
Fotios D. Kanellos
George J. Tsekouras
Konstantinos A. Moungos
Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities
Energies
energy communities
load shifting
flattening
building energy systems
power dispatch
title Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities
title_full Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities
title_fullStr Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities
title_full_unstemmed Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities
title_short Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities
title_sort effective and local constraint aware load shifting for microgrid based energy communities
topic energy communities
load shifting
flattening
building energy systems
power dispatch
url https://www.mdpi.com/1996-1073/18/2/343
work_keys_str_mv AT dimitragkyriakou effectiveandlocalconstraintawareloadshiftingformicrogridbasedenergycommunities
AT fotiosdkanellos effectiveandlocalconstraintawareloadshiftingformicrogridbasedenergycommunities
AT georgejtsekouras effectiveandlocalconstraintawareloadshiftingformicrogridbasedenergycommunities
AT konstantinosamoungos effectiveandlocalconstraintawareloadshiftingformicrogridbasedenergycommunities