Defining electricity tariffs using the knowledge about the consumers profiles in ELECON project

Hugo Morais, Zita Vale, Pedro Faria, Sergio Ramos

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The increasing importance of the integration of distributed generation and demand response in the power systems operation and planning, namely at lower voltage levels of distribution networks and in the competitive environment of electricity markets, leads us to the concept of smart grids. In both traditional and smart grid operation, non-technical losses are a great economic concern, which can be addressed. In this context, the ELECON project addresses the use of demand response contributions to the identification of non-technical losses. The present paper proposes a methodology to be used by Virtual Power Players (VPPs), which are entities able to aggregate distributed small-size resources, aiming to define the best electricity tariffs for several, clusters of consumers. A case study based on real consumption data demonstrates the application of the proposed methodology. © 2013 IEEE.
Original languageEnglish
Title of host publication2013 IEEE PES Conference on Innovative Smart Grid Technologies
Number of pages6554488
PublisherIEEE Computer Society Press
Publication date2013
ISBN (Print)9781467352741
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2nd IEEE Latin American Conference on Innovative Smart Grid Technologies: ISGT LA 2013 - Sao Paulo, Brazil
Duration: 15 Apr 201317 Apr 2013

Conference

Conference2nd IEEE Latin American Conference on Innovative Smart Grid Technologies
CountryBrazil
CitySao Paulo
Period15/04/201317/04/2013

Keywords

  • Distributed power generation
  • Electricity
  • Smart power grids

Cite this

Morais, H., Vale, Z., Faria, P., & Ramos, S. (2013). Defining electricity tariffs using the knowledge about the consumers profiles in ELECON project. In 2013 IEEE PES Conference on Innovative Smart Grid Technologies IEEE Computer Society Press. https://doi.org/10.1109/ISGT-LA.2013.6554488