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Explore the Power Trading Agent Competition through enhanced game analysis in the Power TAC Visualizer 2013. Utilize spider charts and pie charts for detailed data representation. Push mechanism and new GUI for an immersive experience. Further work includes detailed game overview and generation company visualization.
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MASTER THESIS Nr. 605VISUALIZATION MODULE FOR A SIMULATION PLATFORM FOR POWER TRADING Tomislav Briševac
Outline • Electricity market • Power Trading Agent Competition (PowerTAC) • Power TAC overview • Power TAC Visualizer 2013 • Conclusion and further work
Electricity market End customers Producers Retailers Wholesale market Retail market • electricity – a produced good which can be traded • trading takes place in an electricity market • main entities: • producers (generation companies) • electricity retailers • end customers • consumers • producers • prosumers
Power Trading Agent Competition • by 2020, around 35% of the total energy demand in the EU will be generated by green energy resources • question raised: market response? • answer: Power Trading Agent Competition (Power TAC) • Power TAC • competitive simulation environment which models electricity market • explores potential strategic, competitive or collusive behavior of market participants
Power TAC overview • basic time unit – timeslot = 1 day • competition = 1440 timeslots • central entities – brokers (intelligent agents) • goal – make highest profit
Power TAC project • 6 universities • University of Zagreb contribution • Power TAC Visualizer • CrocodileAgent Power TAC Visualizer 2012
Power TAC Visualizer 2013 Front-end module CSS JSF - related XHTML JavaScript JSF facelets jQuery Metro UI Ajax Primefaces HighCharts Back-endmodule Spring framework Messagess Power TAC Simulator • architecture mostly inherited from Visualizer 2012 • two modules: • front-end module • back-end module • new components: • Metro UI • HighCharts
Power TAC Visualizer 2013 design • key performance indicators (KPIs) • broker’s success in different game segments • identifying game segments in which broker’s performance could be improved • multiple modules • tasks • high level overview • enhanced analysis • push mechanism
Power TAC Visualizer 2013 data representation (1) • spider chart • high level overview of different game parts
Power TAC Visualizer 2013 data representation (2) • multiple level pie chart
Power TAC Visualizer 2013 data representation (3) • multiple pane charts • parallel analysis
Conclusion and further work • Power TAC Visualizer 2013 • enhanced game analysis • push mechanism • new GUI • Further work • more detailed game overview • generation companies visualization • wholesale clearing