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