Department of Telecommunications MASTER THESIS Nr. 610 INTELLIGENT TRADING AGENT FOR POWER TRADING BASED ON THE REPAST TOOLKIT Ivana Pranjić

Department of Telecommunications

MASTER THESIS Nr. 610MASTER THESIS Nr. 610

INTELLIGENT TRADING AGENT INTELLIGENT TRADING AGENT FOR POWER TRADING BASED FOR POWER TRADING BASED

ON THE REPAST TOOLKITON THE REPAST TOOLKITIvana Pranjić


OverviewOverview

Introduction Agent based modeling Electricity market Smart grid Agent-based modeling of electricity markets Powertac Repast toolkit Implementing PowerTAC broker using Repast Conclusion

Zagreb, July 2013 1 of 11


IntroductionIntroduction

Most systems show signs of complex behavior Complex adaptive systems – many interacting

components Adaptation and self-organization Emergence Non-linearity Co-evolution

Simulation using agent-based models



Agent-based modelingAgent-based modeling

Suitable for imitating non-linear characteristics of complex adaptive systems

Agents – behaviors based on sets of rules Autonomous Able to learn and adapt Interactive Goal-oriented

ABM are flexible, provide natural description of complex systems and capture emergent phenomena



Electricity market Electricity market

One of the most complex markets in the world Centralized topology

transmission losses, power outages

Restructuring, liberalization Distributed electricity generation - reliability,

environmental and economical reasons

Introduction of the smart grid Two-way flow of information and electricity Integration of numerous new producers and

encouraging use of renewable sources Balancing power supply and demand in real-time



Smart gridSmart grid



Agent-based modeling of electricity marketsAgent-based modeling of electricity markets

Testing new market designs before implementing them in real life

ABM is commonly used for modeling electricity markets Agents represent market participants who interact,

make decisions, take actions and learn from their experience

There are numerous models of electricity markets Power Trading Agent Competition (PowerTAC) –

agents act as brokers and compete with each other



PowerTACPowerTAC



Repast toolkitRepast toolkit

Repast Simphony – a toolkit for agent-based modeling written in Java Model agents using Java, Groovy, ReLogo or

flowcharts Graphical user interface – control the simulation,

modify parameters, use external tools (Pajek, Weka) Display data through charts and graphs Libraries for neural networks, genetic algorithms, etc.



Implementing PowerTAC broker using RepastImplementing PowerTAC broker using Repast

“Sample broker” – agent template written in Java Implementing the sample broker using Repast Configure simulation parameters using the GUI

ClassNotFound and NoClassDefFound errors

Start the simulation without using the GUI User is not able to control the simulation Incompatibility between Repast development libraries

and libraries used by sample broker



Implementing PowerTAC broker using RepastImplementing PowerTAC broker using Repast

Control the simulation execution manually Give user the opportunity to manually create tariffs and

wholesale offers and submit them to the market PowerTAC simulation is managed by the simulator, not

the agent



ConclusionConclusion

Agent-based models are often used to model electricity markets

Repast is not appropriate for implementing PowerTAC agent Incompatible technologies In Repast the user controls the simulation, in

PowerTAC it is done by the simulator Lack of documentation


Documents

Department of Telecommunications MASTER THESIS Nr. 610 INTELLIGENT TRADING AGENT FOR POWER TRADING BASED ON THE REPAST TOOLKIT Ivana Pranjić