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Fuzzy logic-based energy management system design for residential grid-connected microgrids
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 uses both the microgrid energy rate-of-change and the battery SOC 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. ; Peer Reviewed ; Postprint (author's final draft)
Fuzzy logic-based energy management system design for residential grid-connected microgrids
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 uses both the microgrid energy rate-of-change and the battery SOC 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. ; Peer Reviewed ; Postprint (author's final draft)
Fuzzy logic-based energy management system design for residential grid-connected microgrids
ARCOS Avilés, Diego (author) / Pascual, Julio (author) / Marroyo Palomo, Luis (author) / Sanchis Gúrpide, Pablo (author) / Guinjoan Gispert, Francisco (author) / Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica / Universitat Politècnica de Catalunya. EPIC - Energy Processing and Integrated Circuits
2016-04-18
Article (Journal)
Electronic Resource
English
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació , Distributed power generation , Àrees temàtiques de la UPC::Energies::Eficiència energètica , Smart grid , Microgrid , Energy conservation , Fuzzy control , Energia -- Estalvi , Energy management , Lògica difusa , Fuzzy logic , Renewable energy sources
DDC:
690
FUZZY LOGIC CONTROL APPLIED TO A PHOTOVOLTAIC SYSTEM CONNECTED TO CITY NETWORK FOR RESIDENTIAL USE
BASE | 2008
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