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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Publication Open Access Control strategy for an integrated photovoltaic-battery system(IEEE, 2017) Urtasun Erburu, Andoni; Sanchis GĆŗrpide, Pablo; Marroyo Palomo, Luis; Ingeniaritza Elektrikoa eta Elektronikoa; Institute of Smart Cities - ISC; IngenierĆa ElĆ©ctrica y ElectrĆ³nicaIn photovoltaic-battery systems, more attention is usually paid to the MPPT control while the battery management is put aside. This paper proposes two control strategies for an integrated PV-battery system, both of them making it possible to perform MPPT or regulate the battery voltage to its maximum value in order to prevent it from overcharging. Simulation results prove the feasibility of both controls.Publication Open Access Implementation and control of a residential electrothermal microgrid based on renewable energies, a hybrid storage system and demand side management(MDPI, 2014) Pascual Miqueleiz, Julio MarĆa; Sanchis GĆŗrpide, Pablo; Marroyo Palomo, Luis; IngenierĆa ElĆ©ctrica y ElectrĆ³nica; Ingeniaritza Elektrikoa eta Elektronikoa; Gobierno de Navarra / Nafarroako GobernuaThis paper proposes an energy management strategy for a residential electrothermal microgrid, based on renewable energy sources. While grid connected, it makes use of a hybrid electrothermal storage system, formed by a battery and a hot water tank along with an electrical water heater as a controllable load, which make possible the energy management within the microgrid. The microgrid emulates the operation of a single family home with domestic hot water (DHW) consumption, a heating, ventilation and air conditioning (HVAC) system as well as the typical electric loads. An energy management strategy has been designed which optimizes the power exchanged with the grid profile in terms of peaks and fluctuations, in applications with high penetration levels of renewables. The proposed energy management strategy has been evaluated and validated experimentally in a full scale residential microgrid built in our Renewable Energy Laboratory, by means of continuous operation under real conditions. The results show that the combination of electric and thermal storage systems with controllable loads is a promising technology that could maximize the penetration level of renewable energies in the electric system.Publication Open Access Fuzzy logic-based energy management system design for residential grid-connected microgrids(IEEE, 2018) Arcos AvilĆ©s, Diego; Pascual Miqueleiz, Julio MarĆa; Marroyo Palomo, Luis; Sanchis GĆŗrpide, Pablo; Guinjoan Gispert, Francesc; IngenierĆa ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Gobierno de Navarra / Nafarroako GobernuaThis 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.Publication Open Access Low complexity energy management strategy for grid profile smoothing of a residential grid-connected microgrid using generation and demand forecasting(Elsevier, 2017) Arcos AvilĆ©s, Diego; Pascual Miqueleiz, Julio MarĆa; Guinjoan Gispert, Francesc; Marroyo Palomo, Luis; Sanchis GĆŗrpide, Pablo; IngenierĆa ElĆ©ctrica y ElectrĆ³nica; Ingeniaritza Elektrikoa eta ElektronikoaThis paper presents the design of an energy management strategy based on a low complexity Fuzzy Logic Control (FLC) for grid power profile smoothing of a residential grid-connected microgrid including Renewable Energy Sources (RES) and battery Energy Storage System (ESS). The proposed energy management strategy uses generation and demand forecasting to anticipate the future behavior of the microgrid. Accordingly to the microgrid power forecast error and the Battery State-of-Charge (SOC) the proposed strategy performs the suitable control of the grid power. A simulation comparison with previous energy management strategies highlights the advantages of the proposed work minimizing fluctuations and power peaks in the power profile exchanged with the grid while keeping the energy stored in the battery between secure limits. Finally, the experimental validation in a real residential microgrid implemented at Public University of Navarre (UPNA, Spain) demonstrates the proper operation of the proposed strategy achieving a smooth grid power profile and a battery SOC center close to the 75% of the rated battery capacity.