DocumentCode
615770
Title
Defining electricity tariffs using the knowledge about the consumers profiles in ELECON project
Author
Morais, H. ; Vale, Zita ; Faria, Pedro ; Ramos, Sergio
Author_Institution
GECAD - Knowledge Eng. & Decision Support Res. Center, IPP - Polytech. Inst. of Porto, Porto, Portugal
fYear
2013
fDate
15-17 April 2013
Firstpage
1
Lastpage
7
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.
Keywords
demand side management; distributed power generation; power markets; power system planning; tariffs; ELECON project; consumers profiles knowledge; demand response; distributed generation; electricity market; electricity tariff; nontechnical loss; power system operation; power system planning; smart grid operation; virtual power player; Clustering algorithms; Context; Electricity; Electricity supply industry; Load management; Smart grids; Demand response; Elecon; electricity tariffs; nontechnical losses; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies Latin America (ISGT LA), 2013 IEEE PES Conference On
Conference_Location
Sao Paulo
Print_ISBN
978-1-4673-5272-7
Type
conf
DOI
10.1109/ISGT-LA.2013.6554488
Filename
6554488
Link To Document