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Flexibility management model of home appliances to support DSO requests in smart grids

Bibliographic Data

ID21234424
AuthorsFernando Lezama (0000-0001-8638-8373, Polytechnic Institute of Porto), João Soares (0000-0001-8017-143X, Polytechnic Institute of Porto, corresponding author), Bruno Canizes (0000-0002-9808-5537, Polytechnic Institute of Porto), Zita Vale (0000-0002-4560-9544, Polytechnic Institute of Porto)
Year2020
Volume55
Pages102048
Publication date2020-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2020.102048
OpenAlexW3001612429
LanguageEN
Citations received8
References cited21

Several initiates have been taken promoting clean energy and the use of local flexibility towards a more sustainable and green economy. From a residential point of view, flexibility can be provided to operators using home-appliances with the ability to modify their consumption profiles. These actions are part of demand response programs and can be utilized to avoid problems, such as balancing/congestion, in distribution networks. In this paper, we propose a model for aggregators flexibility provision in distribution networks. The model takes advantage of load flexibility resources allowing the re-schedule of shifting/real-time home-appliances to provision a request from a distribution system operator (DSO) or a balance responsible party (BRP). Due to the complex nature of the problem, evolutionary computation is evoked and different algorithms are implemented for solving the formulation efficiently. A case study considering 20 residential houses equipped each with seven types of home-appliances is used to test and compare the performance of evolutionary algorithms solving the proposed model. Results show that the aggregator can fulfill a flexibility request from the DSO/BRP by re-scheduling the home-appliances loads for the next 24-h horizon while minimizing the costs associated with the remuneration given to end-users

Business · Demand response · Distributed computing · Economics · Electricity · Mathematical optimization · News aggregator · Operating system · Operations management · Operations research · Remuneration · Schedule · Time horizon · Computer Science · Electric Vehicles and Infrastructure · Engineering · Microgrid Control and Optimization · Smart Grid Energy Management

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Unique citing works8
Citations per year1.33
Citation span2020 - 2024 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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