78859 20220208112846.0 doi 10.3390/en12040616 sideral 111232 ART-2019-111232 eng Lujano-Rojas, J.M. Universidad de Zaragoza (orcid)0000-0002-5801-0602 Mitigating energy system vulnerability by implementing a microgrid with a distributed management algorithm 2019 Access copy available to the general public Unrestricted This work presents a management strategy for microgrid (MG) operation. Photovoltaic (PV) and wind generators, as well as storage systems and conventional units, are distributed over a wide geographical area, forming a distributed energy system, which is coordinated to face any contingency of the utility company by means of its isolated operation. The management strategy divides the system into three main layers: renewable generation, storage devices, and conventional units. Interactions between devices of the same layer are determined by solving an economic dispatch problem (EDP) in a distributed manner using a consensus algorithm (CA), and interactions between layers are determined by means of a load following strategy. In this way, the complex behaviour of PV and wind generation, the battery storage system, and conventional units has been effectively combined with CA to solve EDP in a distributed manner. MG performance and its vulnerability are deeply analysed by means of an illustrative case study. From the observed results, vulnerability under extreme conditions could be reduced up to approximately 30% by coupling distributed renewable generation and storage capacity with an energy system based on conventional generation. info:eu-repo/grantAgreement/ES/DGA/T28-17R-Building Aragon from Europe info:eu-repo/grantAgreement/ES/MINECO/ENE2016-77172-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.702 2019 ENERGY & FUELS 63 / 112 = 0.562 2019 Q3 T2 0.635 2019 Control and Optimization 2019 Q2 Electrical and Electronic Engineering 2019 Q2 Renewable Energy, Sustainability and the Environment 2019 Q2 Energy Engineering and Power Technology 2019 Q2 Fuel Technology 2019 Q2 Energy (miscellaneous) 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Yusta, J.M. Universidad de Zaragoza (orcid)0000-0003-3174-9703 Domínguez-Navarro, J.A. Universidad de Zaragoza (orcid)0000-0002-4770-0069 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 12, 4 (2019), 616 [30 pp] ENERGIES Energies 1996-1073 668726 http://zaguan.unizar.es/record/78859/files/texto_completo.pdf Versión publicada 103903 http://zaguan.unizar.es/record/78859/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:78859 articulos driver 2022-02-08-11:24:01 ARTICLE