Person:
Marroyo Palomo, Luis

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Marroyo Palomo

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Luis

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IngenierĆ­a ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n

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ISC. Institute of Smart Cities

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0000-0002-8344-8374

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495

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Now showing 1 - 2 of 2
  • PublicationOpen Access
    Fuzzy-based energy management of a residential electro-thermal microgrid based on power forecasting
    (IEEE, 2018) Arcos AvilĆ©s, Diego; Gordillo, Rodolfo; Guinjoan Gispert, Francesc; Sanchis GĆŗrpide, Pablo; Pascual Miqueleiz, Julio MarĆ­a; Marietta, Martin P.; Marroyo Palomo, Luis; Ibarra, Alexander; IngenierĆ­a ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
    In this paper, an energy management strategy based on microgrid power forecasting is applied to a residential grid-connected electro-thermal microgrid with the aim of smoothing the power profile exchanged with the grid. The microgrid architecture under study considers electrical and thermal renewable generation, energy storage system (ESS), and loads. The proposed strategy manages the energy stored in the ESS to cover part of the energy required by the thermal generation system for supplying domestic hot water to the residence. The simulation results using real data and the comparison with previous strategy have demonstrated the effectiveness of the proposed strategy.
  • PublicationOpen Access
    An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
    (IEEE, 2021) Arcos AvilĆ©s, Diego; Pascual Miqueleiz, Julio MarĆ­a; Guinjoan Gispert, Francesc; Marroyo Palomo, Luis; GarcĆ­a GutiĆ©rrez, Gabriel; Gordillo, Rodolfo; Llanos, Jacqueline; Sanchis GĆŗrpide, Pablo; Motoasca, Emilia; IngenierĆ­a ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
    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.