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

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

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

© 2017 IEEE. 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.
Translated title of the contributionReconstrucción de la curva de carga eléctrica requerida para la respuesta a la demanda utilizando técnicas de detección comprimidas
Original languageEnglish (US)
Pages1-6
Number of pages6
DOIs
StatePublished - 1 Dec 2017
Event2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017 - Quito, Ecuador
Duration: 20 Sep 201722 Sep 2017

Conference

Conference2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017
Abbreviated titleISGT Latin America 2017
Country/TerritoryEcuador
CityQuito
Period20/09/1722/09/17

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