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Muñoz Escribano, Mikel

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https://academica-e.unavarra.es/handle/2454/49633

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Muñoz Escribano

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Mikel

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Ingeniería Eléctrica y Electrónica

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751290

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9734

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2009 - 200912010 - 20186
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Now showing 1 - 7 of 7
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    PublicationOpen Access
    A tool for the performance evaluation and failure detection of Amareleja PV plant (Acciona) from SCADA
    (2015) Muñoz Escribano, Mikel; Parra Laita, Íñigo de la; García Solano, Miguel; Marcos Álvarez, Javier; Pérez, Miguel; Ingeniaritza Elektrikoa eta Elektronikoa; Institute of Smart Cities - ISC; Ingeniería Eléctrica y Electrónica
    This paper describes a tool developed for the performance evaluation and failure detection in a 45.6 MWp PV plant installed by the company Acciona in Amareleja (Portugal). The paper describes the PV plant configuration and its SCADA (Supervisory Control And Data Acquisition), the measured variables and the main functionalities of the software. Some of these functionalities are the automatic and accurate PSTC (Power under standard test conditions1) calculation for each generator and for the whole PV Plant, the reference production that would be delivered by the PV plant assuming a 100% availability, the hierarchy of SCADA alarms, the detection of long-term trends and degradation in PV generators, possible hidden problems in the different equipment and systems composing the PV plant, etc. This tool entered into operation in 2011 and is working properly since then.
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    PublicationOpen Access
    Procedimientos avanzados para el análisis del comportamiento de grandes centrales FV
    (2018) Muñoz Escribano, Mikel; García Solano, Miguel; Marcos Álvarez, Javier; Ingeniería Eléctrica, Electrónica y de Comunicación; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
    La energía fotovoltaica (FV) ha experimentado un gran crecimiento en los últimos años y se prevé que lo siga haciendo en los próximos. La razón principal es el descenso espectacular que ha experimentado su precio. A pesar del gran crecimiento de la demanda en 2016, en 2017 tanto módulos FV, inversores como estructuras redujeron su precio sin precedentes. Los precios se desplomaron debido al crecimiento en la capacidad de producción. Los precios promedio de los módulos cayeron aproximadamente un 29%, a 0,33 €/𝑝 entre el cuarto trimestre de 2015 y un año después, siendo mínimos históricos (REN, 2017). Por tanto, en estos momentos, se puede hablar de una tecnología limpia, madura, fiable, robusta y económicamente competitiva (IEA, 2017).
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    PublicationOpen Access
    Comparative study of nonparametric and parametric PV models to forecast AC power output of PV plants
    (EU PVSEC, 2015) Almeida, Marcelo Pinho; Muñoz Escribano, Mikel; Parra Laita, Íñigo de la; Perpiñán, Óscar; Narvarte Fernández, Luis; Ingeniería Eléctrica y Electrónica; Ingeniaritza Elektrikoa eta Elektronikoa
    In this paper, a comparison between two approaches to predict the AC power output of PV systems is carried out in terms of forecast performance. Each approach uses one of the two main types of PV modeling, parametric and nonparametric, and both use as inputs several forecasts of meteorological variables from a Numerical Weather Prediction model. Furthermore, actual AC power measurements of a PV plant are used to train the nonparametric model, to adjust the parameters of the different PV components models used in the parametric approach and to assess the quality of the forecasts. The approaches presented similar behavior, although the nonparametric approach, based on Quantile Regression Forests, showed smaller biased errors due to the machine learning tool used.
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    PublicationRestricted
    Análisis de las diferencias de potencia CEM entre los generadores de centrales fotovoltaicas
    (2009) Muñoz Escribano, Mikel; García Solano, Miguel; Marroyo Palomo, Luis; Escuela Técnica Superior de Ingenieros Industriales y de Telecomunicación; Telekomunikazio eta Industria Ingeniarien Goi Mailako Eskola Teknikoa; Ingeniería Eléctrica y Electrónica; Ingeniaritza Elektrikoa eta Elektronikoa
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    PublicationOpen Access
    Compensation of forecast error in large PV plants with battery storage: associated strategies
    (2017) Marcos Álvarez, Javier; Parra Laita, Íñigo de la; Muñoz Escribano, Mikel; García Solano, Miguel; Marroyo Palomo, Luis; Ingeniaritza Elektrikoa eta Elektronikoa; Institute of Smart Cities - ISC; Ingeniería Eléctrica y Electrónica
    As penetration rates of utility-scale photovoltaics (PV) increases, large PV plants will participate in the daily wholesale electricity market in the same way that wind farms. Then, PV plant owner can receive some kind of economic penalty depending on the forecast deviation. This opens the way to use a battery energy storage system (BESS) to compensate the prediction errors. Taking advance of the several 1-hour intra-diary market sessions, the PV plant owner can correct the prediction for the next hours. Hence, a 1-hour BESS SOC control can be implemented to avoid large energy requirements. Here we present two novel strategies which allow a large PV-BESS plant to fulfil the programme referred.
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    PublicationOpen Access
    PV power forecasting using a parametric model
    (2015) Muñoz Escribano, Mikel; Parra Laita, Íñigo de la; García Solano, Miguel; Marcos Álvarez, Javier; Ingeniaritza Elektrikoa eta Elektronikoa; Institute of Smart Cities - ISC; Ingeniería Eléctrica y Electrónica
    Nowadays, accurate AC power output forecast of PV plants can play a significant role for both the system operators and PV plant owners. The first group has to program the dispatch of the electric system and the second one needs to plan their energy commercialization schedule up front. Therefore, after analyzing the existing commercial services of PV production forecast, it has been identified the potential to improve the models used to calculate the AC power output from irradiance and ambient temperature forecasts. Then, in this paper, a parametric model is proposed in order to improve the forecast performance. This model provides the AC power at the output of the PV plan using as input variables predicted ambient temperature and predicted global horizontal irradiance, both obtained from open sources. It has been evaluated and validated using historical production data of a fixed generator (2,24kWp) and a large PV power plant (45MWp) and historical forecast data from the open source Meteogalicia In addition, a toolbox to implement this parametric methodology has been built upon the Matlab environment. The toolbox has been developed to provide the PV plant production one day in advance.
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    PublicationOpen Access
    On the calculation of the STC power of PV generators by using typical monitoring system data
    (2017) Muñoz Escribano, Mikel; Parra Laita, Íñigo de la; García Solano, Miguel; Marcos Álvarez, Javier; Marroyo Palomo, Luis; Ingeniaritza Elektrikoa eta Elektronikoa; Institute of Smart Cities - ISC; Ingeniería Eléctrica y Electrónica
    The properly in-field characterization of the power at Standard Test Conditions, PSTC, of PV generators is becoming increasingly important in order to evaluate their performance and its evolution in time. Within the state of art, the PSTC characterization procedures of PV arrays are mainly based on I-V curve measurements or PDC measurements performed by precision wattmeters. Those characterizations are usually carried out during discrete measurement campaigns, which does not allow a continuous tracking of the PSTC evolution. In this paper a new PSTC characterization procedure is proposed which is based on the DC power measurements performed by the own PV inverters connected to the PV arrays. This procedure enables an automatic and continuous calculation of the PSTC, which allows to observe its evolution and to detect possible anomalous trends, premature degradations, etc. The procedure has been validated in several PV generators of the large-scale Amareleja PV Plant (45.6 MWp). As showed in this paper, by using several day data and applying the adequate filters, a high accuracy in the PSTC calculation can be achieved, a similar accuracy to that obtained by using precision wattmeter measurements.