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Demand side management (DSM)

General details of the subject

Face-to-face degree course

Description and contextualization of the subject

In the event that the sanitary conditions prevent the realization of a teaching activity and / or face-to-face evaluation, a non-face-to-face modality will be activated of which the students will be informed promptly.

Teaching staff

NameInstitutionCategoryDoctorTeaching profileAreaE-mail
ALDASORO MARCELLAN, UNAIUniversity of the Basque CountryProfesorado Adjunto (Ayudante Doctor/A)DoctorBilingualApplied
CUREA , OCTAVIANÉcole Superieure des Technologies Industrielles Avancées-ESTIADoctor


Students should have updated knowledge about the advanced working techniques and methodologies related to the field of Smartgrids and distributed generation, particularly from the point of view of their control. 5.0 %
Awareness and application of the concepts and specifications of Smartgrids, their topologies, constituent components and basic dimensioning. 10.0 %
Establishing dynamic models of the different components of Smartgrids, particularly different Distributed Generation units. 5.0 %
Developing operational and management strategies, including advanced techniques, for the grid-level regulation of Smartgrids. 20.0 %
Applying computing and telecommunications tools as a support for control in Smartgrids and Distributed Generation. 40.0 %
Students should be able to communicate about the projects carried out working in multidisciplinary and multilingual national and international teams of professionals and researchers operating in the field of Smartgrids. 10.0 %
Students should be trained to understand and analyse technical documents, standards and scientific articles on the topic of the Master, and to apply them in the creation of work and research related to the field of Smartgrids. 10.0 %

Study types

TypeFace-to-face hoursNon face-to-face hoursTotal hours
Applied classroom-based groups101525
Applied computer-based groups101525

Training activities

NameHoursPercentage of classroom teaching
Drawing up reports and presentations8.00 %
Expositive classes10.0100 %
Presentation of projects2.0100 %
Solving practical cases40.045 %
Systematised study15.00 %

Assessment systems

NameMinimum weightingMaximum weighting
Practical tasks20.0 % 40.0 %
Presentations30.0 % 60.0 %
Written examination30.0 % 70.0 %

Ordinary call: orientations and renunciation

The subject is assessed from 2 different activities, according to this weighting:

• 6/10 presentations and group tasks.

• 4/10 practical tasks

Extraordinary call: orientations and renunciation

The criteria and weighting of this call will be the same as that of the ordinary call.


A no presentation to the official examination will result in the automatic waiver of the corresponding call. Renunciation of the call will result in the qualification of not presented.


Introducción a DSM, características de las cargas y del almacenamiento.

Smart metering : el primer paso hacia los Smartgrids

Almacenamiento de energía utilizando los vehículos eléctricos para suavizar los picos de consumo

Smart Buildings :

Algoritmos de control en tiempo real de las cargas


Compulsory materials

Documentación de la página web de la asignatura. Accesible en:

Basic bibliography

T. Yau, W. Smith, R. Hu, L. Vogt y H. Willis, ¿Demand-side management impact on the transmission and distribution system," IEEE Transactions on Power Systems, vol. 5, paginas 506 - 512, 1990.

S. Saini, "Conservation vs. generation: The significance of demand-side management (DSM), its tools and techniques," Refocus, vol. 5, paginas 52 - 54, 2004.

K. Hamilton y N. Gulhar, "Taking demand response to the next level," IEEE Power & Energy Magazine, vol. 8, paginas 60 - 65, 2010.

G. Strbac, "Demand side management: benefits and challenges," Energy Policy, vol. 36, paginas 4419 - 4426, 2008.

Huibin Sui; Ying Sun; Wei-jen Lee, "A demand side management model based on advanced metering infrastructure," 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011, pp.1586-1589, 6-9 July 2011

Et-Tolba, E.-H.; Maaroufi, M.; Ouassaid, M., "Demand side management algorithms and modeling in smart grids A customer's behavior based study," International Renewable and Sustainable Energy Conference (IRSEC), 2013, pp.531-536, 7-9 March 2013


Energy Conversion and Management

Renewable Energy


IET Renewable Power Generation

IEEE Energy Conversion

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