Energy Bigdata in Smart Grid

Motivation 

• How can we trade energy among microgrids in a competitive market?

Objective 

• Study the economic benefits of such a distributed energy trading mechanism with a hierarchical decision-making structure as a multileader–multifollower Stackelberg game.

Research Issues

• Study on incentive based energy trading mechanism for future smart grids.

Contributions

• Propose a fully distributed mechanism for energy trading among microgrids.

• Present a rigorous game-theoretic analysis for deriving the equilibrium solution of the system.Provided an incentive for energy trading among microgrids in future power grids.

Publications

1. Sangdon Park, Joohyung Lee, and Jun Kyun Choi, "Event-Driven Energy Trading System in Microgrids: Aperiodic Market Model Analysis with a Game Theoretic Approach," IEEE Access, 2017.

2. Sangdon Park, Joohyung Lee, Sohee Bae, Ganguk Hwang and Jun Kyun Choi. "Contribution Based Energy Trading Mechanism in Micro-Grids for Future Smart Grid : A Game Theoretic Approach," IEEE Transactions on Industrial Electronics 63.7 (2016): 4255-4265. (Selected journal by IEEE ITeN in 2016)

3. Joohyung Lee, Jun Guo, Jun Kyun Choi, and Moshe Zukerman, "Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis," IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 3524-3533, June 2015.

4. Ki-reem Han and Jun Kyun Choi, "Strategic Gaming Analysis for Energy Trading in the Smart Grid : Matrix Algebraic Approach", International Smart Grid Conference 2015, Gwangju, Korea, Oct. 12-14.