Person:
Marroyo Palomo, Luis

Profile Picture

Email Address

person.page.identifierURI

https://academica-e.unavarra.es/handle/2454/49511

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Marroyo Palomo

First Name

Luis

person.page.departamento

IngenierĆ­a ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n

person.page.instituteName

ISC. Institute of Smart Cities

ORCID

0000-0002-8344-8374

person.page.upna

495

Name

Filters

2022 - 20233
Reset filters

Settings

Subject: PV integration Ɨ

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    PublicationOpen Access
    A PV ramp-rate control strategy to extend battery lifespan using forecasting
    (Elsevier, 2022) GonzĆ”lez Moreno, Alejandro; Marcos Ɓlvarez, Javier; Parra Laita, ĆĆ±igo de la; Marroyo Palomo, Luis; IngenierĆ­a ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Universidad PĆŗblica de Navarra / Nafarroako Unibertsitate Publikoa
    This study analyses and presents a new ramp-rate control algorithm for smoothing PV power fluctuations, designed to address three fundamental objectives: to reduce battery cycling, to meet minimum storage requirements and to be able to operate, without ramp-rate violations, with real publicly-available forecasting. The algorithm was compared to three benchmark methods and, as a performance limit, also to a hypothetical perfect prediction. Different performance variables were analyzed for all the strategies within a restricted ramp-rate constraint (2%/min): minimum storage requirement, battery power distributions, throughput energy, state of charge (SOC) distributions, degradation (calendar and cycling), expected battery lifespan and levelized cost of energy (LCOE). The proposal proves to be the most cost-effective smoothing technique and the simulation results show that its performance is comparable to the obtained with the use of an assumed perfect prediction.
  • Thumbnail Image
    PublicationOpen Access
    Influence of control in cycling degradation when batteries perform PV ramp-rate control
    (IEEE, 2023) GonzĆ”lez Moreno, Alejandro; Marcos Ɓlvarez, Javier; Parra Laita, ĆĆ±igo de la; Marroyo Palomo, Luis; IngenierĆ­a ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n; Institute of Smart Cities - ISC; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Universidad PĆŗblica de Navarra / Nafarroako Unibertsitate Publikoa
    This work studies the importance of the correct selection of control parameters in order to avoid unnecessary cycling in batteries when they perform PV smoothing. The classic ramp-rate control method (CRRC) is studied as smoothing technique and the key role of the state of charge (SOC) control is analyzed for a real 38.5 MW PV plant, particularly the influence of proportional gain (K). Depending on K, battery cycling degradation (CyD), power requirements, SOC limits and throughout energy performance were discussed. According to the results, the correct tuning could prolong battery lifespan by reducing cycling degradation up to 80% (depending on the fluctuation restrictions and K) and avoiding unnecessary energy losses, power requirements and undesirable SOC operation levels. Finally, a simple general rule is proposed to set K value when CRRC is used and its applicability is tested by simulating two additional PV plants with rated power of 1.1 and 75.6 MW.
  • Thumbnail Image
    PublicationOpen Access
    Inverter-based PV ramp-rate limitation strategies: minimizing energy losses
    (IEEE, 2022) GonzĆ”lez Moreno, Alejandro; Marcos Ɓlvarez, Javier; Parra Laita, ĆĆ±igo de la; Marroyo Palomo, Luis; IngenierĆ­a ElĆ©ctrica, ElectrĆ³nica y de ComunicaciĆ³n; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Universidad PĆŗblica de Navarra / Nafarroako Unibertsitate Publikoa
    This work analyzes the reduction of power generation in strategies that regulate the PV ramp-rate by using inverter limitation. Although the operating principle implies some energy production losses, not all these losses are necessary. Three different strategies were simulated using experimental 5-second data collected throughout a year at a 38.6 MW PV plant, and their energy losses were obtained for different ramprate levels. An improvement in one of these strategies is proposed and evaluated. The main findings suggest that the proposed modification has the potential to drastically reduce annual production losses to insignificant levels. Regardless of the ramp-rate constrain, simulation results evidenced energy losses bellow 1%.