Fuzzy logic-based energy management system design for residential grid-connected microgrids
| dc.contributor.author | Arcos Avilés, Diego | |
| dc.contributor.author | Pascual Miqueleiz, Julio María | |
| dc.contributor.author | Marroyo Palomo, Luis | |
| dc.contributor.author | Sanchis Gúrpide, Pablo | |
| dc.contributor.author | Guinjoan Gispert, Francesc | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.contributor.funder | Gobierno de Navarra / Nafarroako Gobernua | es |
| dc.date.accessioned | 2020-11-12T13:59:51Z | |
| dc.date.available | 2020-11-12T13:59:51Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | This paper presents the design of a low complexity fuzzy logic controller of only 25-rules to be embedded in an energy management system for a residential grid-connected microgrid including renewable energy sources and storage capability. The system assumes that neither the renewable generation nor the load demand is controllable. The main goal of the design is to minimize the grid power profile fluctuations while keeping the battery state of charge within secure limits. Instead of using forecasting-based methods, the proposed approach use both the microgrid energy rate-of-change and the battery state of charge to increase, decrease, or maintain the power delivered/absorbed by the mains. The controller design parameters (membership functions and rule-base) are adjusted to optimize a pre-defined set of quality criteria of the microgrid behavior. A comparison with other proposals seeking the same goal is presented at simulation level, whereas the features of the proposed design are experimentally tested on a real residential microgrid implemented at the Public University of Navarre. | en |
| dc.description.sponsorship | This work was supported in part by the Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación SENESCYT and the Instituto de Fomento al Talento Humano del Ecuador under Grant 2013-AR2Q4081; in part by the Government of Navarra and the European Regional Development Fund under the Microgrids in Navarra: Design, Development, and Implementation Project; in part by the Spanish Ministry of Economy and Competitiveness under Grant DPI2013-42853-R; in part by the European Union under Project FP7-308468; in part by PVCROPS—Photovoltaic Cost Reduction, Reliability, Operational Performance, Prediction, and Simulation under Grant RUE CSD2009-00046; in part by the Consolider-Ingenio 2010 Programme; in part by the Spanish Ministry of Science and Innovation; and in part by the Spanish Ministry of Economy and Knowledge under Grant DPI2013-41224-P and Grant DPI2012-31580. Paper no. TSG-00712-2015. | en |
| dc.format.extent | 14 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | D. Arcos-Aviles, J. Pascual, L. Marroyo, P. Sanchis and F. Guinjoan, 'Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids,' in IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 530-543, March 2018, doi: 10.1109/TSG.2016.2555245. | en |
| dc.identifier.doi | 10.1109/TSG.2016.2555245 | |
| dc.identifier.issn | 1949-3053 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/38619 | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | IEEE Transactions on Smart Grid, 2018, 9(2), 530-543 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2013-42853-R/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2013-41224-P/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2012-31580/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/FP7/308468/ | |
| dc.relation.publisherversion | https://doi.org/10.1109/TSG.2016.2555245 | |
| dc.rights | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/ republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Distributed power generation | en |
| dc.subject | Energy management | en |
| dc.subject | Fuzzy control | en |
| dc.subject | Microgrid | en |
| dc.subject | Renewable energy sources | en |
| dc.subject | Smart grid | en |
| dc.title | Fuzzy logic-based energy management system design for residential grid-connected microgrids | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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