A Bidding System for Peer-to-Peer Energy Trading in a Grid-connected Microgrid

Peer-to-Peer (P2P) energy trading is a novel paradigm of power system operation, where people can generate their own energy from Renewable Energy Sources (RESs) in dwellings, offices and factories, and share it with each other locally. An architecture model was proposed to present the design and interoperability aspects of components for P2P energy trading in a microgrid. A specific Customer-to-Customer business model was introduced in a benchmark grid-connected microgrid based on the architecture model. The core component of a bidding system, called Elecbay, was also proposed and simulated using game theory. Test results show that P2P energy trading is able to balance local generation and demand, therefore, has a potential to enable a large penetration of RESs in the power grid.

[1]  Kai Strunz,et al.  A BENCHMARK LOW VOLTAGE MICROGRID NETWORK , 2005 .

[2]  Junwei Cao,et al.  Energy Internet -- Towards Smart Grid 2.0 , 2013, 2013 Fourth International Conference on Networking and Distributed Computing.

[3]  Akihiko Yokoyama,et al.  Smart Grid: Technology and Applications , 2012 .

[4]  Bapi Chatterjee,et al.  An optimization formulation to compute Nash equilibrium in finite games , 2009, 2009 Proceeding of International Conference on Methods and Models in Computer Science (ICM2CS).

[5]  Nicholas Jenkins Distributed Generation , 2010 .

[6]  STAVROS TASSOS,et al.  Electricity Trading Arrangements , 2001 .

[7]  G. Olsder,et al.  Using game theory for the electricity market , 2006 .

[8]  Shin Nakamura,et al.  Autonomous cooperative energy trading between prosumers for microgrid systems , 2014, 39th Annual IEEE Conference on Local Computer Networks Workshops.

[9]  Stephen Hall,et al.  Local Electricity Supply: Opportunities, archetypes and outcomes , 2015 .

[10]  Aleksandr Rudkevich,et al.  Supply function equilibrium: theory and applications , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[11]  Chengshan Wang,et al.  A novel Traversal-and-Pruning algorithm for household load scheduling , 2013 .

[12]  E. Bompard,et al.  Comparative analysis of game theory models for assessing the performances of network constrained electricity markets , 2010 .