DocumentCode :
2017292
Title :
Intelligent remuneration and tariffs for virtual power players
Author :
Ribeiro, Cassio ; Pinto, Tiago ; Morais, H. ; Vale, Zita ; Santos, Giovanni
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Res. Center, IPP - Polytech. Inst. of Porto, Porto, Portugal
fYear :
2013
fDate :
16-20 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
Power systems have been through deep changes in recent years, namely due to the operation of competitive electricity markets in the scope the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new type of player that allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles (V2G) and consumers) to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players´ benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.
Keywords :
power markets; power system management; remuneration; renewable energy sources; tariffs; distributed generation; electrical vehicles; electricity markets; energy consumption; energy reserves; intelligent remuneration; maintenance; market operation costs; power systems; renewable energy sources; storage agents; tariffs; virtual power players; Analytical models; Context; Contracts; Distributed power generation; Electricity supply industry; Power systems; Remuneration; Electricity Markets; Multi-agent Simulation; Remuneration; Tariff; Virtual Power Players;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/PTC.2013.6652157
Filename :
6652157
Link To Document :
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