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Advisor(s)
Abstract(s)
The energy sector in industrialized countries has been restructured in
the last years, with the purpose of decreasing electricity prices through the
increase in competition, and facilitating the integration of distributed energy
resources. However, the restructuring process increased the complexity in
market players' interactions and generated emerging problems and new issues to
be addressed. In order to provide players with competitive advantage in the
market, decision support tools that facilitate the study and understanding of
these markets become extremely useful. In this context arises MASCEM
(Multi-Agent Simulator of Competitive Electricity Markets), a multi-agent
based simulator that models real electricity markets. To reinforce MASCEM
with the capability of recreating the electricity markets reality in the fullest
possible extent, it is crucial to make it able to simulate as many market models
and player types as possible. This paper presents a new negotiation model
implemented in MASCEM based on the negotiation model used in day-ahead
market (Elspot) of Nord Pool. This is a key module to study competitive
electricity markets, as it presents well defined and distinct characteristics from
the already implemented markets, and it is a reference electricity market in
Europe (the one with the larger amount of traded power).
Description
Keywords
Multi-agent based simulator MASCEM Nord Pool
Citation
Publisher
Springer