Title :
Realistic Multi-agent Simulation of Competitive Electricity Markets
Author :
Pinto, Tiago ; Santos, Giovanni ; Vale, Zita ; Praca, Isabel ; Lopes, Filipa ; Algarvio, Hugo
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Res. Center, Polytech. of Porto (ISEP/IPP), Porto, Portugal
Abstract :
The dynamism and ongoing changes that the electricity markets sector is constantly suffering, enhanced by the huge increase in competitiveness, create the need of using simulation platforms to support operators, regulators, and the involved players in understanding and dealing with this complex environment. This paper presents an enhanced electricity market simulator, based on multi-agent technology, which provides an advanced simulation framework for the study of real electricity markets operation, and the interactions between the involved players. MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) uses real data for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations bring to different countries. Also, the development of an upper-ontology to support the communication between participating agents, provides the means for the integration of this simulator with other frameworks, such as MAN-REM (Multi-Agent Negotiation and Risk Management in Electricity Markets). A case study using the enhanced simulation platform that results from the integration of several systems and different tools is presented, with a scenario based on real data, simulating the MIBEL electricity market environment, and comparing the simulation performance with the real electricity market results.
Keywords :
multi-agent systems; ontologies (artificial intelligence); power engineering computing; power markets; MASCEM; MIBEL electricity market environment; electricity market sector; electricity market transformations; enhanced electricity market simulator; participating agents; realistic multiagent simulation of competitive electricity markets; realistic simulation scenarios; upper-ontology development; Adaptation models; Context; Data mining; Data models; Electricity supply industry; Multi-agent systems; Power systems; Electricity Markets Simulation; MAN-REM; MASCEM; Multi-Agent Systems; Scenarios Generation;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2014 25th International Workshop on
Conference_Location :
Munich
Print_ISBN :
978-1-4799-5721-7
DOI :
10.1109/DEXA.2014.36