An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
Fecha
2021Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-85404-P/ES
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111443RB-I00/ES/
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110816RB-C21/ES/
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111262RB-I00/ES/
Impacto
|
10.1109/ACCESS.2021.3056454
Resumen
This work deals with the design of a Fuzzy Logic Control (FLC) based Energy Management
System (EMS) for smoothing the grid power prole of a grid-connected electro-thermal microgrid. The
case study aims to design an Energy Management System (EMS) to reduce the impact on the grid power
when renewable energy sources are incorporated to pre-existing grid-connected household appliances. The
scenar ...
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This work deals with the design of a Fuzzy Logic Control (FLC) based Energy Management
System (EMS) for smoothing the grid power prole of a grid-connected electro-thermal microgrid. The
case study aims to design an Energy Management System (EMS) to reduce the impact on the grid power
when renewable energy sources are incorporated to pre-existing grid-connected household appliances. The
scenario considers a residential microgrid comprising photovoltaic and wind generators, at-plate collectors,
electric and thermal loads and electrical and thermal energy storage systems and assumes that neither
renewable generation nor the electrical and thermal load demands are controllable. The EMS is built through
two low-complexity FLC blocks of only 25 rules each. The first one is in charge of smoothing the power
prfile exchanged with the grid, whereas the second FLC block drives the power of the Electrical Water
Heater (EWH). The EMS uses the forecast of the electrical and thermal power balance between generation
and consumption to predict the microgrid behavior, for each 15-minute interval, over the next 12 hours.
Simulations results, using real one-year measured data show that the proposed EMS design achieves 11.4%
reduction of the maximum power absorbed from the grid and an outstanding reduction of the grid power
profile ramp-rates when compared with other state-of-the-art studies. [--]
Materias
Distributed power generation,
Energy management,
Power forecasting,
Fuzzy control,
Power smoothing,
Microgrid
Editor
IEEE
Publicado en
IEEE Access, 9, 25172-25188
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 projects 2019-PIC-003-CTE and 2020-EXT-007 from the Research Group of Propagation,
Electronic Control, and Networking (PROCONET) of Universidad de las Fuerzas Armadas ESPE, in part by the Belgian Development
Cooperation (DGD) and the VLIR-UOS under the project EC2020SIN322A101, in part by the Spanish Ministry of Industry and
Competitiveness under Grant DPI2017-85404 and Grant PID2019-111443RB-100, and in part by the Spanish State Research Agency
(AEI/10.13039/501100011033) under Grant PID2019-110816RB-C21 and Grant PID2019-111262RB-I00.