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Advisor(s)
Abstract(s)
Worldwide electricity markets have been evolving
into regional and even continental scales. The aim at an efficient
use of renewable based generation in places where it exceeds the
local needs is one of the main reasons. A reference case of this
evolution is the European Electricity Market, where countries
are connected, and several regional markets were created, each
one grouping several countries, and supporting transactions of
huge amounts of electrical energy. The continuous
transformations electricity markets have been experiencing over
the years create the need to use simulation platforms to support
operators, regulators, and involved players for understanding
and dealing with this complex environment. This paper focuses
on demonstrating the advantage that real electricity markets
data has for the creation of realistic simulation scenarios, which
allow the study of the impacts and implications that electricity
markets transformations will bring to the participant countries.
A case study using MASCEM (Multi-Agent System for
Competitive Electricity Markets) is presented, with a scenario
based on real data, simulating the European Electricity Market
environment, and comparing its performance when using
several different market mechanisms.
Description
Keywords
Data-Mining Electricity Markets Simulation Multi-Agent Systems Scenarios Generation
Citation
Publisher
IEEE