Affiliations: [a] AUTomation and Control Group, Technical University of Denmark, Richard Petersens Plads, Copenhagen, Denmark | [b] GECAD - Knowledge Engineering and Decision Support Research Centre, Polytechnic of Porto, Porto, Portugal
Correspondence:
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Corresponding author: Hugo Morais, AUTomation and Control Group, Technical University of Denmark (DTU), Richard Petersens Plads, Building 326, 118, Copenhagen, Denmark. E-mail: [email protected]
Abstract: 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.
Keywords: Decision-making, distributed generation, electricity markets, game theory, intelligent agents coalitions, Virtual Power Players
