9 research outputs found

    Modelling Type 1 and 2 Wind Turbines based on IEC 61400-27-1: Transient Response under Voltage Dips

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    [EN] Wind power plants depend greatly on weather conditions, thus being considered intermittent, uncertain and non-dispatchable. Due to the massive integration of this energy resource in the recent decades, it is important that transmission and distribution system operators are able to model their electrical behaviour in terms of steady-state power flow, transient dynamic stability, and short-circuit currents. Consequently, in 2015, the International Electrotechnical Commission published Standard IEC 61400-27-1, which includes generic models for wind power generation in order to estimate the electrical characteristics of wind turbines at the connection point. This paper presents, describes and details the models for wind turbine topologies Types 1 and 2 following IEC 61400-27-1 for electrical simulation purposes, including the values for the parameters for the different subsystems. A hardware-in-the-loop combined with a real-time simulator is also used to analyse the response of such wind turbine topologies under voltage dips. The evolution of active and reactive powers is discussed, together with the wind turbine rotor and generator rotational speeds.This work was partially supported by the Spanish Ministry of Economy and Competitiveness and the European Union -FEDER Funds, ENE2016-78214-C2-1-R-; and the Spanish Ministry of Education, Culture and Sports -ref. FPU16/04282-.García-Sánchez, TM.; Muñoz-Benavente, I.; Gómez-Lázaro, E.; Fernández-Guillamón, A. (2020). Modelling Type 1 and 2 Wind Turbines based on IEC 61400-27-1: Transient Response under Voltage Dips. Energies. 13(16):1-19. https://doi.org/10.3390/en13164078S1191316Fernández-Guillamón, A., Villena-Lapaz, J., Vigueras-Rodríguez, A., García-Sánchez, T., & Molina-García, Á. (2018). An Adaptive Frequency Strategy for Variable Speed Wind Turbines: Application to High Wind Integration Into Power Systems. Energies, 11(6), 1436. doi:10.3390/en11061436Fernández-Guillamón, A., Das, K., Cutululis, N. A., & Molina-García, Á. (2019). Offshore Wind Power Integration into Future Power Systems: Overview and Trends. Journal of Marine Science and Engineering, 7(11), 399. doi:10.3390/jmse7110399Fernández-Guillamón, A., Gómez-Lázaro, E., Muljadi, E., & Molina-García, Á. (2019). Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time. Renewable and Sustainable Energy Reviews, 115, 109369. doi:10.1016/j.rser.2019.109369Cardozo, C., van Ackooij, W., & Capely, L. (2018). Cutting plane approaches for frequency constrained economic dispatch problems. Electric Power Systems Research, 156, 54-63. doi:10.1016/j.epsr.2017.11.001Fernández-Guillamón, A., Martínez-Lucas, G., Molina-García, Á., & Sarasua, J. I. (2020). An Adaptive Control Scheme for Variable Speed Wind Turbines Providing Frequency Regulation in Isolated Power Systems with Thermal Generation. Energies, 13(13), 3369. doi:10.3390/en13133369Global Wind Report 2019https://gwec.net/global-wind-report-2019/Muñoz-Benavente, I., Hansen, A. D., Gómez-Lázaro, E., García-Sánchez, T., Fernández-Guillamón, A., & Molina-García, Á. (2019). Impact of Combined Demand-Response and Wind Power Plant Participation in Frequency Control for Multi-Area Power Systems. Energies, 12(9), 1687. doi:10.3390/en12091687Villena-Ruiz, R., Lorenzo-Bonache, A., Honrubia-Escribano, A., Jiménez-Buendía, F., & Gómez-Lázaro, E. (2019). Implementation of IEC 61400-27-1 Type 3 Model: Performance Analysis under Different Modeling Approaches. Energies, 12(14), 2690. doi:10.3390/en12142690Kumar, D., & Chatterjee, K. (2016). A review of conventional and advanced MPPT algorithms for wind energy systems. Renewable and Sustainable Energy Reviews, 55, 957-970. doi:10.1016/j.rser.2015.11.013Hansen, A. D., Iov, F., Blaabjerg, F., & Hansen, L. H. (2004). Review of Contemporary Wind Turbine Concepts and Their Market Penetration. Wind Engineering, 28(3), 247-263. doi:10.1260/0309524041590099Liang, X. (2017). Emerging Power Quality Challenges Due to Integration of Renewable Energy Sources. IEEE Transactions on Industry Applications, 53(2), 855-866. doi:10.1109/tia.2016.2626253Calif, R., & Schmitt, F. G. (2014). Multiscaling and joint multiscaling description of the atmospheric wind speed and the aggregate power output from a wind farm. Nonlinear Processes in Geophysics, 21(2), 379-392. doi:10.5194/npg-21-379-2014Calif, R., Schmitt, F. G., & Huang, Y. (2013). Multifractal description of wind power fluctuations using arbitrary order Hilbert spectral analysis. Physica A: Statistical Mechanics and its Applications, 392(18), 4106-4120. doi:10.1016/j.physa.2013.04.038Fernández‐Guillamón, A., Vigueras‐Rodríguez, A., & Molina‐García, Á. (2019). Analysis of power system inertia estimation in high wind power plant integration scenarios. IET Renewable Power Generation, 13(15), 2807-2816. doi:10.1049/iet-rpg.2019.0220Heredia, F.-J., Cuadrado, M. D., & Corchero, C. (2018). On optimal participation in the electricity markets of wind power plants with battery energy storage systems. Computers & Operations Research, 96, 316-329. doi:10.1016/j.cor.2018.03.004Zhang, W., & Fang, K. (2017). Controlling active power of wind farms to participate in load frequency control of power systems. IET Generation, Transmission & Distribution, 11(9), 2194-2203. doi:10.1049/iet-gtd.2016.1471Honrubia-Escribano, A., Gómez-Lázaro, E., Fortmann, J., Sørensen, P., & Martin-Martinez, S. (2018). Generic dynamic wind turbine models for power system stability analysis: A comprehensive review. Renewable and Sustainable Energy Reviews, 81, 1939-1952. doi:10.1016/j.rser.2017.06.005Moschitta, A., Carbone, P., & Muscas, C. (2011). Generalized Likelihood Ratio Test for Voltage Dip Detection. IEEE Transactions on Instrumentation and Measurement, 60(5), 1644-1653. doi:10.1109/tim.2011.2113110Moschitta, A., Carbone, P., & Muscas, C. (2012). Performance Comparison of Advanced Techniques for Voltage Dip Detection. IEEE Transactions on Instrumentation and Measurement, 61(5), 1494-1502. doi:10.1109/tim.2012.2183436Gallo, D., Landi, C., Luiso, M., & Fiorucci, E. (2014). Survey on Voltage Dip Measurements in Standard Framework. IEEE Transactions on Instrumentation and Measurement, 63(2), 374-387. doi:10.1109/tim.2013.2278996Ipinnimo, O., Chowdhury, S., Chowdhury, S. P., & Mitra, J. (2013). A review of voltage dip mitigation techniques with distributed generation in electricity networks. Electric Power Systems Research, 103, 28-36. doi:10.1016/j.epsr.2013.05.004Hossain, M. J., Pota, H. R., Ugrinovskii, V. A., & Ramos, R. A. (2010). Simultaneous STATCOM and Pitch Angle Control for Improved LVRT Capability of Fixed-Speed Wind Turbines. IEEE Transactions on Sustainable Energy, 1(3), 142-151. doi:10.1109/tste.2010.2054118Hossain, M. J., Pota, H. R., & Ramos, R. A. (2011). Robust STATCOM control for the stabilisation of fixed-speed wind turbines during low voltages. Renewable Energy, 36(11), 2897-2905. doi:10.1016/j.renene.2011.04.010Hossain, M. J., Pota, H. R., & Ramos, R. A. (2012). Improved low-voltage-ride-through capability of fixed-speed wind turbines using decentralised control of STATCOM with energy storage system. IET Generation, Transmission & Distribution, 6(8), 719. doi:10.1049/iet-gtd.2011.0537Wessels, C., Hoffmann, N., Molinas, M., & Fuchs, F. W. (2013). StatCom control at wind farms with fixed-speed induction generators under asymmetrical grid faults. IEEE Transactions on Industrial Electronics, 60(7), 2864-2873. doi:10.1109/tie.2012.2233694Obando-Montaño, A., Carrillo, C., Cidrás, J., & Díaz-Dorado, E. (2014). A STATCOM with Supercapacitors for Low-Voltage Ride-Through in Fixed-Speed Wind Turbines. Energies, 7(9), 5922-5952. doi:10.3390/en7095922Moghadasi, A., Sarwat, A., & Guerrero, J. M. (2016). A comprehensive review of low-voltage-ride-through methods for fixed-speed wind power generators. Renewable and Sustainable Energy Reviews, 55, 823-839. doi:10.1016/j.rser.2015.11.020Heydari-doostabad, H., Khalghani, M. R., & Khooban, M. H. (2016). A novel control system design to improve LVRT capability of fixed speed wind turbines using STATCOM in presence of voltage fault. International Journal of Electrical Power & Energy Systems, 77, 280-286. doi:10.1016/j.ijepes.2015.11.011Fortmann, J., Engelhardt, S., Kretschmann, J., Feltes, C., & Erlich, I. (2014). New Generic Model of DFG-Based Wind Turbines for RMS-Type Simulation. IEEE Transactions on Energy Conversion, 29(1), 110-118. doi:10.1109/tec.2013.2287251Goksu, O., Altin, M., Fortmann, J., & Sorensen, P. E. (2016). Field Validation of IEC 61400-27-1 Wind Generation Type 3 Model With Plant Power Factor Controller. IEEE Transactions on Energy Conversion, 31(3), 1170-1178. doi:10.1109/tec.2016.2540006Honrubia-Escribano, A., Jiménez-Buendía, F., Gómez-Lázaro, E., & Fortmann, J. (2016). Validation of Generic Models for Variable Speed Operation Wind Turbines Following the Recent Guidelines Issued by IEC 61400-27. Energies, 9(12), 1048. doi:10.3390/en9121048Honrubia-Escribano, A., Jimenez-Buendia, F., Gomez-Lazaro, E., & Fortmann, J. (2018). Field Validation of a Standard Type 3 Wind Turbine Model for Power System Stability, According to the Requirements Imposed by IEC 61400-27-1. IEEE Transactions on Energy Conversion, 33(1), 137-145. doi:10.1109/tec.2017.2737703Lorenzo-Bonache, A., Honrubia-Escribano, A., Jiménez-Buendía, F., Molina-García, Á., & Gómez-Lázaro, E. (2017). Generic Type 3 Wind Turbine Model Based on IEC 61400-27-1: Parameter Analysis and Transient Response under Voltage Dips. Energies, 10(9), 1441. doi:10.3390/en10091441Honrubia-Escribano, A., Jiménez-Buendía, F., Sosa-Avendaño, J. L., Gartmann, P., Frahm, S., Fortmann, J., … Gómez-Lázaro, E. (2019). Fault-Ride Trough Validation of IEC 61400-27-1 Type 3 and Type 4 Models of Different Wind Turbine Manufacturers. Energies, 12(16), 3039. doi:10.3390/en12163039Wang, L., Zhang, Z., Long, H., Xu, J., & Liu, R. (2017). Wind Turbine Gearbox Failure Identification With Deep Neural Networks. IEEE Transactions on Industrial Informatics, 13(3), 1360-1368. doi:10.1109/tii.2016.2607179Hansen, A. D., & Hansen, L. H. (2007). Wind turbine concept market penetration over 10 years (1995–2004). Wind Energy, 10(1), 81-97. doi:10.1002/we.210IEC 61400-27-1. Electrical Simulation Models—Wind Turbines; Technical Reporthttps://webstore.iec.ch/publication/21811Vázquez-Hernández, C., Serrano-González, J., & Centeno, G. (2017). A Market-Based Analysis on the Main Characteristics of Gearboxes Used in Onshore Wind Turbines. Energies, 10(11), 1686. doi:10.3390/en10111686Duong, M., Grimaccia, F., Leva, S., Mussetta, M., & Le, K. (2015). Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller. Energies, 8(7), 6328-6349. doi:10.3390/en8076328Cheng, M., & Zhu, Y. (2014). The state of the art of wind energy conversion systems and technologies: A review. Energy Conversion and Management, 88, 332-347. doi:10.1016/j.enconman.2014.08.037Pinar Pérez, J. M., García Márquez, F. P., Tobias, A., & Papaelias, M. (2013). Wind turbine reliability analysis. Renewable and Sustainable Energy Reviews, 23, 463-472. doi:10.1016/j.rser.2013.03.018Sumathi, S., Ashok Kumar, L., & Surekha, P. (2015). Wind Energy Conversion Systems. Green Energy and Technology, 247-307. doi:10.1007/978-3-319-14941-7_4Fernández-Guillamón, A., Sarasúa, J. I., Chazarra, M., Vigueras-Rodríguez, A., Fernández-Muñoz, D., & Molina-García, Á. (2020). Frequency control analysis based on unit commitment schemes with high wind power integration: A Spanish isolated power system case study. International Journal of Electrical Power & Energy Systems, 121, 106044. doi:10.1016/j.ijepes.2020.106044Liu, J., Gao, Y., Geng, S., & Wu, L. (2017). Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques. IEEE Access, 5, 27-34. doi:10.1109/access.2016.2599542Margaris, I. D., Hansen, A. D., Sørensen, P., & Hatziargyriou, N. D. (2010). Illustration of Modern Wind Turbine Ancillary Services. Energies, 3(6), 1290-1302. doi:10.3390/en3061290Wan, S., Cheng, K., Sheng, X., & Wang, X. (2019). Characteristic Analysis of DFIG Wind Turbine under Blade Mass Imbalance Fault in View of Wind Speed Spatiotemporal Distribution. Energies, 12(16), 3178. doi:10.3390/en12163178Boukhezzar, B., & Siguerdidjane, H. (2011). Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model. IEEE Transactions on Energy Conversion, 26(1), 149-162. doi:10.1109/tec.2010.2090155Chu, Yuan, Hu, Pan, & Pan. (2019). Comparative Analysis of Identification Methods for Mechanical Dynamics of Large-Scale Wind Turbine. Energies, 12(18), 3429. doi:10.3390/en12183429Villena-Ruiz, R., Honrubia-Escribano, A., Fortmann, J., & Gómez-Lázaro, E. (2020). Field validation of a standard Type 3 wind turbine model implemented in DIgSILENT-PowerFactory following IEC 61400-27-1 guidelines. International Journal of Electrical Power & Energy Systems, 116, 105553. doi:10.1016/j.ijepes.2019.105553Ekanayake, J. B., Holdsworth, L., & Jenkins, N. (2003). Comparison of 5th order and 3rd order machine models for doubly fed induction generator (DFIG) wind turbines. Electric Power Systems Research, 67(3), 207-215. doi:10.1016/s0378-7796(03)00109-3Brandl, R. (2017). Operational Range of Several Interface Algorithms for Different Power Hardware-In-The-Loop Setups. Energies, 10(12), 1946. doi:10.3390/en10121946Matar, M., Karimi, H., Etemadi, A., & Iravani, R. (2012). A High Performance Real-Time Simulator for Controllers Hardware-in-the-Loop Testing. Energies, 5(6), 1713-1733. doi:10.3390/en506171

    Identification of Linearized RMS-Voltage Dip Patterns Based on Clustering in Renewable Plants

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    [EN] Generation units connected to the grid are currently required to meet low-voltage ride-through (LVRT) requirements. In most developed countries, these requirements also apply to renewable sources, mainly wind power plants and photovoltaic installations connected to the grid. This study proposes an alternative characterisation solution to classify and visualise a large number of collected events in light of current limits and requirements. The authors' approach is based on linearised root-mean-square-(RMS)-voltage trajectories, taking into account LRVT requirements, and a clustering process to identify the most likely pattern trajectories. The proposed solution gives extensive information on an event's severity by providing a simple but complete visualisation of the linearised RMS-voltage patterns. In addition, these patterns are compared to current LVRT requirements to determine similarities or discrepancies. A large number of collected events can then be automatically classified and visualised for comparative purposes. Real disturbances collected from renewable sources in Spain are used to assess the proposed solution. Extensive results and discussions are also included in this study.The authors thank the financial support from the 'Ministerio de Economia y Competitividad' (Spain) and the European Union - ENE2016-78214-C2-2-R, Fulbright/Spanish Ministry of Education Visiting Scholar - PRX14/00694. This work was also supported by the US Department of Energy under contract no. DE-AC36-08-GO28308 with the National Renewable Energy LaboratoryGarcía-Sánchez, TM.; Gómez-Lázaro, E.; Muljadi, E.; Kessler, M.; Muñoz-Benavente, I.; Molina-García, A. (2018). Identification of Linearized RMS-Voltage Dip Patterns Based on Clustering in Renewable Plants. IET Generation Transmission & Distribution. 12(6):1256-1262. https://doi.org/10.1049/iet-gtd.2017.0474S12561262126Craciun B. Kerekes T. Sera D.et al.: ‘Overview of recent grid codes for PV power integration’.13th Int. Conf. on Optimization of Electrical and Electronic Equipment (OPTIM) 2012 May2012 pp.959–965‘World Energy Outlook 2012’. Technical Report International Egency Agency (IEA) 2012. Available atwww.iea.orgBehrens C.E.: ‘Energy policy: 113th congress issues’.Congressional Research Service 2013Lopes, J. A. P., Hatziargyriou, N., Mutale, J., Djapic, P., & Jenkins, N. (2007). Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities. Electric Power Systems Research, 77(9), 1189-1203. doi:10.1016/j.epsr.2006.08.016Glassmire, J., Komor, P., & Lilienthal, P. (2012). Electricity demand savings from distributed solar photovoltaics. Energy Policy, 51, 323-331. doi:10.1016/j.enpol.2012.08.022Carvalho, D., Wemans, J., Lima, J., & Malico, I. (2011). Photovoltaic energy mini-generation: Future perspectives for Portugal. Energy Policy, 39(9), 5465-5473. doi:10.1016/j.enpol.2011.05.016Battaglini, A., Komendantova, N., Brtnik, P., & Patt, A. (2012). Perception of barriers for expansion of electricity grids in the European Union. Energy Policy, 47, 254-259. doi:10.1016/j.enpol.2012.04.065‘European Commission 2010a. Energy 2020. A strategy for competitive sustainable and secure energy’. Technical Report Brussels November2011Beurskens P.V.L.W.M. Hekkenberg M.: ‘Renewable energy projections as published in the national renewable energy action plans of the european member states’. Technical Report European Environment Agency (EEA) November2011Coll-Mayor, D., Paget, M., & Lightner, E. (2007). Future intelligent power grids: Analysis of the vision in the European Union and the United States. Energy Policy, 35(4), 2453-2465. doi:10.1016/j.enpol.2006.09.001Passey, R., Spooner, T., MacGill, I., Watt, M., & Syngellakis, K. (2011). The potential impacts of grid-connected distributed generation and how to address them: A review of technical and non-technical factors. Energy Policy, 39(10), 6280-6290. doi:10.1016/j.enpol.2011.07.027Sangroniz N. Mora J.A. Teixeira M.D.: ‘Review of international grid codes for wind generation’ 2009‘Global Market Outlook for Photovoltaics Until 2016’. Technical Report European Photovoltaic Industry Association 2012. Available atwww.epia.orgKim S. Bollen M.: ‘Towards the development of a set of grid code requirements for wind farms: transient reactive power requirements’. Technical Report Available as Elforsk Report 13 : 04. Part 3 Report of Vindforsk Project V‐369 Vindforsk III January2013Tsili, M., & Papathanassiou, S. (2009). A review of grid code technical requirements for wind farms. IET Renewable Power Generation, 3(3), 308. doi:10.1049/iet-rpg.2008.0070Hossain, J., & Mahmud, A. (Eds.). (2014). Renewable Energy Integration. Green Energy and Technology. doi:10.1007/978-981-4585-27-9Sourkounis C. Tourou P.: ‘Grid code requirements for wind power integration in Europe’.Conf. Papers in Energy 2013 pp.1–9Voltage Ride-Through Capability Verification of Wind Turbines With Fully-Rated Converters Using Reachability Analysis. (2014). IEEE Transactions on Energy Conversion, 29(2), 392-405. doi:10.1109/tec.2013.2295168Mohseni, M., & Islam, S. M. (2012). Review of international grid codes for wind power integration: Diversity, technology and a case for global standard. Renewable and Sustainable Energy Reviews, 16(6), 3876-3890. doi:10.1016/j.rser.2012.03.039‘Royal Decree 1565/2010 by which regulates and modifies certain aspects of the activity of production of electric energy in special regime. (In spanish)’. Technical Report November2010Sourkounis C. Tourou P.: ‘Grid code requirements for wind power integration in Europe’.Conf. Papers in Science 2013Jiménez, F., Gómez-Lázaro, E., Fuentes, J. A., Molina-García, A., & Vigueras-Rodríguez, A. (2011). Validation of a double fed induction generator wind turbine model and wind farm verification following the Spanish grid code. Wind Energy, 15(4), 645-659. doi:10.1002/we.498Montoro D.: ‘Recommendations for unified technical regulations for grid‐connected PV systems’. Technical Report SUNRISE project – European Photovoltaic Industry Association the European Construction Industry Federation the European Association of Electrical Contractors International Union of Architects 2009. Available athttp://www.pvsunrise.eu/Merino, J., Mendoza-Araya, P., & Veganzones, C. (2014). State of the Art and Future Trends in Grid Codes Applicable to Isolated Electrical Systems. Energies, 7(12), 7936-7954. doi:10.3390/en7127936deAlmeida P. Barbosa P. Duque C.et al.: ‘Grid connection considerations for the integration of PV and wind sources’.IEEE 16th Int. Conf. on Harmonics and Quality of Power (ICHQP) May2014 pp.6–9‘Network code requirements for grid connection applicable to all generators’. Technical Report European Network of Transmission System Operators for Electricity ENTSO‐E October2013. Available athttps://www.entsoe.eu/Kagan N. Ferrari E. Matsuo N.et al.: ‘Influence of rms variation measurement protocols on electrical system performance indices for voltage sags and swells’.Proc. Ninth Int. Conf. on Harmonics and Quality of Power 2000 2000 vol.3 pp.790–795Bollen, M. H. J. (2003). Algorithms for characterizing measured three-phase unbalanced voltage dips. IEEE Transactions on Power Delivery, 18(3), 937-944. doi:10.1109/tpwrd.2003.813879Bollen M.H.: ‘Comparing voltage dip survey results’.Power Engineering Society Winter Meeting 2002 2002 vol.2 pp.1130–1134Moreno‐Muñoz A. de laRosa J.: ‘Voltage sag in highly automated factories’.Industry Applications Society Annual Meeting IAS'08 2008 pp.1–6Gomez-Lazaro, E., Fuentes, J. A., Molina-Garcia, A., & Canas-Carreton, M. (2009). Characterization and Visualization of Voltage Dips in Wind Power Installations. IEEE Transactions on Power Delivery, 24(4), 2071-2078. doi:10.1109/tpwrd.2009.2027513Gunther, E. W., & Mebta, H. (1995). A survey of distribution system power quality-preliminary results. IEEE Transactions on Power Delivery, 10(1), 322-329. doi:10.1109/61.368382Belloni F. Chiappa C. Chiumeo R.et al.: ‘Voltage dip measurements along MV lines vs primary substations measurements’.Int. Conf. on Renewable Energies and Power Quality (ICREPQ'12) March2012 pp.28–30Garcia-Sanchez, T., Gomez-Lazaro, E., Muljadi, E., Kessler, M., & Molina-Garcia, A. (2016). Statistical and Clustering Analysis for Disturbances: A Case Study of Voltage Dips in Wind Farms. IEEE Transactions on Power Delivery, 31(6), 2530-2537. doi:10.1109/tpwrd.2016.2522946Barrera Nunez V. Melendez Frigola J. Herraiz Jaramillo S.: ‘A survey on voltage sag events in power systems’.IEEE/PES Transmission and Distribution Conf. and Exposition: Latin America 2008 August2008 pp.1–3‘IEEE Standard 519‐1992: Recommended practices and requirements for harmonic control in electrical power systems’. Technical Report 1993. Available athttp://ieeexplore.ieee.org/servlet/opac?punumber=2227‘1159‐2009‐IEEE Recommended practice for monitoring electric power quality’. Technical Report June2009. Available athttp://ieeexplore.ieee.org/servlet/opac?punumber=515405

    Hypothyroidism confers tolerance to cerebral malaria

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    The modulation of the host’s metabolism to protect tissue from damage induces tolerance to infections increasing survival. Here, we examined the role of the thyroid hormones, key metabolic regulators, in the outcome of malaria. Hypothyroidism confers protection to experimental cerebral malaria by a disease tolerance mechanism. Hypothyroid mice display increased survival after infection with Plasmodium berghei ANKA, diminishing intracranial pressure and brain damage, without altering pathogen burden, blood-brain barrier disruption, or immune cell infiltration. This protection is reversed by treatment with a Sirtuin 1 inhibitor, while treatment of euthyroid mice with a Sirtuin 1 activator induces tolerance and reduces intracranial pressure and lethality. This indicates that thyroid hormones and Sirtuin 1 are previously unknown targets for cerebral malaria treatment, a major killer of children in endemic malaria areas.This work was funded by grants SAF2017-83289-R to S.A. and A.A., SAF2017-90604REDT to A.A. supported by the The European Regional Development Fund (FEDER) and BIO2016-77430-R to J.M.B. from the Ministerio de Economía y Competitividad; B2017/BMD-3724 to S.A. and A.A. from the Comunidad de Madrid; and CIBERONC CB/16/00228 to A.A. from the Instituto de Salud Carlos III

    Implementation and Assessment of a Decentralized Load Frequency Control: Application to Power Systems with High Wind Energy Penetration

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    This paper describes and assesses a decentralized solution based on a wireless sensor-actuator network to provide primary frequency control from demand response in power systems with high wind energy penetration and, subsequently, with relevant frequency excursions. The proposed system is able to modify the electrical power demand of a variety of thermostatically-controlled loads, maintaining minimum comfort levels and minimizing both infrastructure requirements and primary reserves from the supply side. This low-cost hardware solution avoids any additional wiring, extending the wireless sensor-actuator network technology towards small customers, which account for over a 30% share of the current power demand. Frequency excursions are collected by each individual load controller, considering not only the magnitude of the frequency deviation, but also their evolution over time. Based on these time-frequency excursion characteristics, controllers are capable of modifying the power consumption of thermostatically-controlled loads by switching them off and on, thus contributing to primary frequency control in power systems with higher generation unit oscillations as a consequence of relevant wind power integration. Field tests have been carried out in a laboratory environment to assess the load controller performance, as well as to evaluate the electrical and thermal response of individual loads under frequency deviations. These frequency deviations are estimated from power systems with a high penetration of wind energy, which are more sensitive to frequency oscillations and where demand response can significantly contribute to mitigate these frequency excursions. The results, also included in the paper, evaluate the suitability of the proposed load controllers and their suitability to decrease frequency excursions from the demand side in a decentralized manner

    Implementation and Assessment of a Decentralized Load Frequency Control: Application to Power Systems with High Wind Energy Penetration

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    This paper describes and assesses a decentralized solution based on a wireless sensor-actuator network to provide primary frequency control from demand response in power systems with high wind energy penetration and, subsequently, with relevant frequency excursions. The proposed system is able to modify the electrical power demand of a variety of thermostatically-controlled loads, maintaining minimum comfort levels and minimizing both infrastructure requirements and primary reserves from the supply side. This low-cost hardware solution avoids any additional wiring, extending the wireless sensor-actuator network technology towards small customers, which account for over a 30% share of the current power demand. Frequency excursions are collected by each individual load controller, considering not only the magnitude of the frequency deviation, but also their evolution over time. Based on these time-frequency excursion characteristics, controllers are capable of modifying the power consumption of thermostatically-controlled loads by switching them off and on, thus contributing to primary frequency control in power systems with higher generation unit oscillations as a consequence of relevant wind power integration. Field tests have been carried out in a laboratory environment to assess the load controller performance, as well as to evaluate the electrical and thermal response of individual loads under frequency deviations. These frequency deviations are estimated from power systems with a high penetration of wind energy, which are more sensitive to frequency oscillations and where demand response can significantly contribute to mitigate these frequency excursions. The results, also included in the paper, evaluate the suitability of the proposed load controllers and their suitability to decrease frequency excursions from the demand side in a decentralized manner

    Impact of Combined Demand-Response and Wind Power Plant Participation in Frequency Control for Multi-Area Power Systems

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    An alternative approach for combined frequency control in multi-area power systems with significant wind power plant integration is described and discussed in detail. Demand response is considered as a decentralized and distributed resource by incorporating innovative frequency-sensitive load controllers into certain thermostatically controlled loads. Wind power plants comprising variable speed wind turbines include an auxiliary frequency control loop contributing to increase total system inertia in a combined manner, which further improves the system frequency performance. Results for interconnected power systems show how the proposed control strategy substantially improves frequency stability and decreases peak frequency excursion (nadir) values. The total need for frequency regulation reserves is reduced as well. Moreover, the requirements to exchange power in multi-area scenarios are significantly decreased. Extensive simulations under power imbalance conditions for interconnected power systems are also presented in the paper

    An Analysis of Decentralized Demand Response as Frequency Control Support under CriticalWind Power Oscillations

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    In power systems with high wind energy penetration, the conjunction of wind power fluctuations and power system inertia reduction can lead to large frequency excursions, where the operating reserves of conventional power generation may be insufficient to restore the power balance. With the aim of evaluating the demand-side contribution to frequency control, a complete process to determine critical wind oscillations in power systems with high wind penetration is discussed and described in this paper. This process implies thousands of wind power series simulations, which have been carried out through a validated offshore wind farm model. A large number of different conditions have been taken into account, such as frequency dead bands, the percentages of controllable demand and seasonal factor influence on controllable loads. Relevant results and statistics are also included in the paper

    Design of Potential Antimalarial Agents Based on a Homology Model of Plasmodium falciparum Glucose-6-Phosphate Dehydrogenase

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    There currently exists a dire need for safe and inexpensive new antimalarial drugs, which are effective against multiple life cycle stages of Plasmodium falciparum, and act through mechanisms that differ from those of the available drugs to prevent drug resistance. [...

    Experiencias de Aprendizaje-Servicio en la UPM: 2021 y 2022

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    La Oficina de Aprendizaje-Servicio (ApS) de la UPM, constituida en sesión del Consejo de Gobierno de diciembre de 2019 tiene, como misión fundamental, promover en el ámbito de las enseñanzas de esta universidad la metodología ApS. Con esta finalidad se vienen realizando convocatorias de proyectos de impacto social alineados con los ODS como un mecanismo más para la contribución a la Agenda 2030, y se colabora intensamente con las diversas oficinas constituidas con el mismo objetivo en otras universidades. Nuestra oficina pretende impulsar progresivamente la colaboración con entidades ajenas a la UPM, y atender demandas y necesidades sociales en las que nuestros estudiantes y profesores brinden sus conocimientos para la construcción de una mejor y más justa sociedad. Con este propósito, se han puesto en marcha numerosas iniciativas y colaboraciones con Ayuntamientos, Asociaciones, ONG, Fundaciones y centros de enseñanza, con el fin común de plantear mejoras y trabajar con entornos desfavorecidos, y colectivos vulnerables de nuestro entorno. Cabe destacar la muy positiva acogida que, progresivamente se está logrando, en lo relativo a la diseminación de estas iniciativas en el ámbito de la UPM, viéndose incrementada la participación e interés de nuestros docentes y estudiantes en los llamamientos que se realizan desde la oficina. Desde la constitución de la oficina, son ya más de 100 actividades desarrolladas con la participación de más de 500 profesores. Uno de los compromisos de la Oficina ApS de la UPM es dar visibilidad por su carácter meritorio a las experiencias realizadas por el profesorado y los estudiantes de nuestra universidad y, es por ello, que nos complace la presentación de esta primera edición del ebook, en el que se recogen algunas de las experiencias realizadas en nuestra universidad y que confiamos ampliar periódicamente con futuras ediciones. Nuestro más sincero agradecimiento a todos los profesores que habéis hecho posible esta primera publicación con vuestras contribuciones
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