Electrical load curve reconstruction required for demand response using compressed sensing techniques

Juan Inga-Ortega, Esteban Inga-Ortega, Cristina Gómez, Roberto Hincapié

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

10 Citas (Scopus)

Resumen

This work presents techniques for obtaining a reliable electrical load-curve based on comparative analysis between the different compressed sensing algorithms. Therefore, the goal is implementing compressed sensing (CS) when a wireless heterogeneous network, that exchanges information between electrical enterprise and smart meters, has a fault. Then, the data cannot be sent totally, and we would have the data only of some smart meters; thus, using the adequate technique of compressed sensing is possible to the reconstruction of load-curve required for generating demand response (DR) with the minimum error. In the advanced metering infrastructure (AMI) there may be communication faults; then, it is necessary to have other forms for estimating the demand response using few measurements. In addition, using a dictionary based on the DCT transform does not mean that the sea is the best option for the representation of a signal. For example, among other results, in this work we obtain an average of percent root mean square difference nearest to the 5% in relation with a Gaussian function or Wavelet basis with values between 1.4 and 1.7% average PRD.

Idioma originalInglés
Título de la publicación alojada2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-6
Número de páginas6
ISBN (versión digital)9781538633120
DOI
EstadoPublicada - 1 dic. 2017
Publicado de forma externa
Evento2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017 - Quito, Ecuador
Duración: 20 sept. 201722 sept. 2017

Serie de la publicación

Nombre2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017
Volumen2017-January

Conferencia

Conferencia2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017
País/TerritorioEcuador
CiudadQuito
Período20/09/1722/09/17

Nota bibliográfica

Publisher Copyright:
© 2017 IEEE.

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