Gaia
Smartgrids-ei buruzko sarrera
Gaiari buruzko datu orokorrak
- Modalitatea
- Ikasgelakoa
- Hizkuntza
- Ingelesa
Irakasgaiaren azalpena eta testuingurua
The course discusses the international and national development towards the futures renewable electric energy system, and the new concept of Smart Grid.- The starting point is the understanding of the technical and economical context from the different invited experts coming from the industry. Integration of distributed and intermittent renewable energy requires a new paradigm, and the course gives a basis to understand and contribute to this development. Power systems, power electronics and renewable energy merge, for example in microgrids.
- A major part of the course concerns the optimal design of the microgrids, whether remote or interconnected with a main grid. The renewable resources and energy sources technologies together with their electrical characteristics are discussed, followed by the operation of a microgrid, including economic considerations and energy storage.
Irakasleak
Izena | Erakundea | Kategoria | Doktorea | Irakaskuntza-profila | Arloa | Helbide elektronikoa |
---|---|---|---|---|---|---|
ALDASORO MARCELLAN, UNAI | Euskal Herriko Unibertsitatea | Irakaslego Agregatua | Doktorea | Elebiduna | Matematika Aplikatua | unai.aldasoro@ehu.eus |
VECHIU , IONEL | ESTIA - École Superieure des Technologies Industrielles Avancées | Doktorea |
Gaitasunak
Izena | Pisua |
---|---|
Ikasleek Smartgrid eta Sorkuntza Banaturari sorkuntzari loturiko teknika eta lan metodologien inguruko ezagutza eguneratua edukitzea,batez ere horiek kontrolatzearen ikuspegitik. | 40.0 % |
Smartgrid-en kontzeptuak eta zehaztapenak ezagutu eta aplikatzea, baita haien tipologiak, osatzen dituzten osagaiak eta oinarrizko dimentsionatzea ere. | 50.0 % |
Smartgrid-en alorrean lan egiten duten profesionalez eta aztertzaileez osatutako diziplina anitzeko talde eleanitzek, nazionalek zein nazioartekoek, egindako lanen gainean ikasleek komunikatzeko gaitasuna izatea. | 10.0 % |
Irakaskuntza motak
Mota | Ikasgelako orduak | Ikasgelaz kanpoko orduak | Orduak guztira |
---|---|---|---|
Magistrala | 8 | 15 | 23 |
Gelako p. | 12 | 15 | 27 |
Ordenagailuko p. | 10 | 15 | 25 |
Irakaskuntza motak
Izena | Orduak | Ikasgelako orduen ehunekoa |
---|---|---|
Ariketak | 25.0 | 40 % |
Azalpenezko eskolak | 10.0 | 100 % |
Ikasketa sistematizatua | 15.0 | 0 % |
Kasu praktikoen ebazpena | 25.0 | 40 % |
Ebaluazio-sistemak
Izena | Gutxieneko ponderazioa | Gehieneko ponderazioa |
---|---|---|
Garatu beharreko galderak | 5.0 % | 20.0 % |
Idatzizko azterketa | 30.0 % | 70.0 % |
Lan praktikoak | 10.0 % | 40.0 % |
Irakasgaia ikastean lortuko diren emaitzak
- Knowledge: after completing the course, the student shallo Understand the background for Smart Grid and have knowledge about important terminology
o Know about challenges and possibilities related to the energy market
o Have knowledge about technology for microgrids and integration of renewable energy and energy storage
o Have knowledge about different renewable energy sources and storage systems
o Have knowledge about SmartGrids concepts
- Skills: after completing the course, the student shall be able to
o Apply the knowledge as a basis for innovation in the energy sector
o Analyse and perform basic design of Smart Grid electric power systems, with emphasis on microgrids
Ohiko deialdia: orientazioak eta uko egitea
Project 70%Exam 30%
The final evaluation is done on an obligatory work based on a project (report).
Ezohiko deialdia: orientazioak eta uko egitea
If there is a re‐sit examination, the examination form may change from written to oralIrakasgai-zerrenda
Introducción a las redes inteligentes y cómo se diferencian de las redes de distribución existentes.Contexto económico y ambiental
Principales componentes de las redes inteligentes y barreras tecnológicas, sociales, legislativas y administrativas
Efectos del desarrollo de las redes inteligentes sobre los distribuidores, proveedores y consumidores
Diseño de una red inteligente adaptada a un contexto definido
Bibliografia
Nahitaez erabili beharreko materiala
Documentación de la página web de la asignatura. Accesible en: http://moodle.ehu.es/moodleOinarrizko bibliografia
J. Ihamäki, Integration of microgrids into electricity distribution networks, 2012.CERTS Program Office Lawrence Berkeley National Laboratory, Integration of Distributed Energy Resources, California Energy Commission, The CERTS Microgrid Concept, 2003.
R. Zamora, A. K. Srivastava, Controls for microgrids with storage: Review, challenges, and research needs, Renewable and Sustainable Energy Reviews, vol. 14, no 7, p. 2009-2018, sept. 2010.
S. Abu-Sharkh, R. J. Arnold, J. Kohler, R. Li, T. Markvart, J. N. Ross, K. Steemers, P. Wilson, R. Yao, Can microgrids make a major contribution to UK energy supply, Renewable and Sustainable Energy Reviews, vol. 10, no 2, p. 78-127, apr. 2006.
N. Hatziargyriou, H. Asano, R. Iravani, C. Marnay, Microgrids, Power and Energy Magazine, IEEE, vol. 5, no 4, p. 78-94, 2007.
P. Piagi, R. H. Lasseter, Autonomous control of microgrids, 2006, p. 8.
J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuña, M. Castilla, Hierarchical Control of Droop-Controlled AC and DC Microgrids - A General Approach Toward Standardization, IEEE Transactions on Industrial Electronics, vol. 58, no 1, p. 158-172, 2011.
B. Kroposki, R. Lasseter, T. Ise, S. Morozumi, S. Papatlianassiou, N. Hatziargyriou, Making microgrids work, IEEE Power and Energy Magazine, vol. 6, no 3, p. 40-53, 2008.
Marin, D., Intégration des éoliennes dans les réseaux électriques insulaires, Ecole Centrale de Lille, 2009.
C. A. Schiller, S. Fassmann, The Smart Micro Grid: IT Challenges for Energy Distribution Grid Operators, Generating Insights, p. 36-42.
Gehiago sakontzeko bibliografia
E. Koutroulis, D. Kolokotsa, A. Potirakis, K. Kalaitzakis, Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms, Sol. Energy, vol. 80, no 9, p. 1072-1088, sept. 2006.S. M. Hakimi, S. M. Moghaddas-Tafreshi, Optimal sizing of a stand-alone hybrid power system via particle swarm optimization for Kahnouj area in south-east of Iran, Renew. Energy, vol. 34, no 7, p. 1855-1862, jul. 2009.
O. Ekren , B. Y. Ekren, Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing, Appl. Energy, vol. 87, no 2, p. 592-598, feb. 2010.
A. H. Mantawy, Y. L. Abdel-Magid, S. Z. Selim, A simulated annealing algorithm for unit commitment, Ieee Trans. Power Syst., vol. 13, no 1, p. 197-204, 1998.
S. Diaf, D. Diaf, M. Belhamel, M. Haddadi, A. Louche, A methodology for optimal sizing of autonomous hybrid PV/wind system, Energy Policy, vol. 35, no 11, p. 5708-5718, nov. 2007.
D. B. Nelson, M. H. Nehrir, C. Wang, Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems, Renew. Energy, vol. 31, no 10, p. 1641-1656, aug. 2006.
Aldizkariak
Energy Conversion and ManagementRenewable Energy
Energy
IET Renewable Power Generation
IEEE Energy Conversion
IEEE Transactions on Smart Grid
Estekak
http://www.smartgrids-cre.frhttp://homerenergy.com/pdf/homergettingstarted268.pdf
http://pvsystwiki.wikispaces.com/file/view/Stand_Alone_PV_System_Using_PVSyst.pdf
http://publications.gc.ca/collections/collection_2012/rncan-nrcan/M39-121-2005-fra.pdf