Descripción y contextualización de la asignatura

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.

Resultados del aprendizaje de la asignatura

- Knowledge: after completing the course, the student shall

o 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

Convocatoria ordinaria: orientaciones y renuncia

Project 70%

Exam 30%



The final evaluation is done on an obligatory work based on a project (report).

Convocatoria extraordinaria: orientaciones y renuncia

If there is a re‐sit examination, the examination form may change from written to oral

Temario

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

Bibliografía

Materiales de uso obligatorio

Documentación de la página web de la asignatura. Accesible en: http://moodle.ehu.es/moodle

Bibliografía básica

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.

Bibliografía de profundización

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.

Revistas

Energy Conversion and Management

Renewable Energy

Energy

IET Renewable Power Generation

IEEE Energy Conversion

IEEE Transactions on Smart Grid

Enlaces

http://www.smartgrids-cre.fr

http://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