Coalition of distributed generation units to Virtual Power Players - a game theory approach
Author(s) -
Hugo Morais,
Tiago Sousa,
Gabriel Santos,
Tiago Pinto,
Isabel Praça,
Zita Vale
Publication year - 2015
Publication title -
integrated computer-aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.801
H-Index - 42
eISSN - 1875-8835
pISSN - 1069-2509
DOI - 10.3233/ica-150490
Subject(s) - distributed generation , virtual power plant , computer science , distributed computing , game theory , resource (disambiguation) , electricity generation , demand response , smart grid , distributed power , power (physics) , operations research , electricity , industrial engineering , engineering , renewable energy , computer network , electrical engineering , physics , quantum mechanics , economics , microeconomics
Smart Grids (SGs) have emerged as the new paradigm for power system operation and management, being designed to include large amounts of distributed energy resources. This new paradigm requires new Energy Resource Management (ERM) methodologies considering different operation strategies and the existence of new management players such as several types of aggregators. This paper proposes a methodology to facilitate the coalition between distributed generation units originating Virtual Power Players (VPP) considering a game theory approach. The proposed approach consists in the analysis of the classifications that were attributed by each VPP to the distributed generation units, as well as in the analysis of the previous established contracts by each player. The proposed classification model is based in fourteen parameters including technical, economical and behavioural ones. Depending of the VPP strategies, size and goals, each parameter has different importance. VPP can also manage other type of energy resources, like storage units, electric vehicles, demand response programs or even parts of the MV and LV distribution network. A case study with twelve VPPs with different characteristics and one hundred and fifty real distributed generation units is included in the paper
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom