Fuzzy logic-based energy management system design for residential grid-connected microgrids
Fecha
2018Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
Impacto
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10.1109/TSG.2016.2555245
Resumen
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 ...
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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. [--]
Materias
Distributed power generation,
Energy management,
Fuzzy control,
Microgrid,
Renewable energy sources,
Smart grid
Editor
IEEE
Publicado en
IEEE Transactions on Smart Grid, 2018, 9(2), 530-543
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila
Versión del editor
Entidades Financiadoras
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.