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A comprehensive model for the design of a microgrid under regulatory constraints using synthetical data generation and stochastic optimization

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energies-13-05590-v2.pdf (4,374Mb)
 
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hdl:2117/332455

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Alonso Travesset, AlexandreMés informacióMés informació
Hoz Casas, Jordi de laMés informacióMés informacióMés informació
Martín Cañadas, María ElenaMés informacióMés informacióMés informació
Coronas Herrero, SergioMés informacióMés informacióMés informació
Salas Prat, Josep Maria (Pep)
Matas Alcalá, JoséMés informacióMés informacióMés informació
Document typeArticle
Defense date2020-10-26
Rights accessOpen Access
Attribution 4.0 International
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution 4.0 International
Abstract
As renewable energy installation costs decrease and environmentally-friendly policies are progressively applied in many countries, distributed generation has emerged as the new archetype of energy generation and distribution. The design and economic feasibility of distributed generation systems is constrained by the operation of the microgrid, which has to consider the uncertainty of renewable energy sources, consumption habits and electricity market prices. In this paper, a mathematical model intended to optimize the design and economic feasibility of a microgrid is proposed. After a search in the state-of-the-art, weaknesses and strengths of existing models have been identified and taken into account for building the present model. The present model should be seen as a basis on which other models can be built upon, hence a complete definition of the different sub-models is stated: uncertainty modelling, optimization technique, physical constraints and regulatory framework. One of the main features presented is the generation of synthetic data in uncertainty modelling, employed to enhance the reliability of the model by taking into account a longer time horizon and a shorter time step. Results show significant details about energy management and prove the suitability of using a stochastic approach rather than deterministic or intuitive ones to perform the optimization.</jats:p>
CitationAlonso, A. [et al.]. A comprehensive model for the design of a microgrid under regulatory constraints using synthetical data generation and stochastic optimization. "Energies", 26 Octubre 2020, vol. 13, núm. 21, p. 5590:1-5590:26. 
URIhttp://hdl.handle.net/2117/332455
DOI10.3390/en13215590
ISSN1996-1073
Publisher versionhttps://www.mdpi.com/1996-1073/13/21/5590
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  • Doctorat en Enginyeria Elèctrica - Articles de revista [186]
  • SEPIC - Sistemes Electrònics de Potència i de Control - Articles de revista [131]
  • EPIC - Energy Processing and Integrated Circuits - Articles de revista [224]
  • Departament d'Enginyeria Elèctrica - Articles de revista [986]
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