MASCEM: Optimizing the performance of a multi-agent system

Santos, Gabriel; Pinto, Tiago; Praça, Isabel; Vale, Zita

http://hdl.handle.net/10400.22/9383

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
ART_ZitaVale_GECAD_11_2016.pdf		1.18 MB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

The electricity market sector has suffered massive changes in the last few decades. The worldwide electricity market restructuring has been conducted to potentiate the increase in competitiveness and thus decrease electricity prices. However, the complexity in this sector has grown signiﬁcantly as well, with the emergence of several new types of players, interacting in a constantly changing environment. Several electricity market simulators have been introduced in recent years with the purpose of sup-porting operators, regulators, and the involved players in understanding and dealing with this complex environment. This paper presents a new, enhanced version of MASCEM (Multi-Agent System for Competitive Electricity Markets), an electricity market simulator with over ten years of existence, which had to be restructured in order to be able to face the highly demanding requirements that the decision support in this ﬁeld requires. This restructuring optimizes the performance of MASCEM, both in results and execution time.