The Effect of Prosumer Duality on Power Market: Evidence From the Cournot Model

Distributed energy resources behind the meter and automation systems enable traditional electricity consumers to become prosumers (producers/consumers) that can participate in peer-to-peer exchange of electricity and in retail electricity markets. Emerging prosumers can provide benefits to the system by exchanging energy and energy-related services. More importantly, they can do so in a more honest and more competitive way than the traditional producer/consumer systems. We extend the traditional Cournot model to show that the dual nature of prosumers can lead to more competitive behavior under a game theoretic scenario. We show that best response supply quantities of a prosumer are usually closer to the competitive level compared to those of a producer.

[1]  Datong Qin,et al.  Rule-corrected energy management strategy for hybrid electric vehicles based on operation-mode prediction , 2018, Journal of Cleaner Production.

[2]  Massoud Pedram,et al.  A Stackelberg Game-Based Optimization Framework of the Smart Grid With Distributed PV Power Generations and Data Centers , 2014, IEEE Transactions on Energy Conversion.

[3]  Hoay Beng Gooi,et al.  Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model , 2019, IEEE Transactions on Industrial Electronics.

[4]  T. Taniguchi,et al.  Convergent Double Auction Mechanism for a Prosumers’ Decentralized Smart Grid , 2015 .

[5]  Walid Saad,et al.  Managing Price Uncertainty in Prosumer-Centric Energy Trading: A Prospect-Theoretic Stackelberg Game Approach , 2017, IEEE Transactions on Smart Grid.

[6]  Wencong Su,et al.  Game theory based bidding strategy for prosumers in a distribution system with a retail electricity market , 2018, IET Smart Grid.

[7]  Filipe Joel Soares,et al.  Optimal supply and demand bidding strategy for an aggregator of small prosumers , 2017 .

[8]  Andrew L. Liu,et al.  Power Market Model in Presence of Strategic Prosumers , 2020, IEEE Transactions on Power Systems.

[9]  Cheng Wang,et al.  Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach , 2017, IEEE Transactions on Industrial Informatics.

[10]  Carlo Schmitt,et al.  Impact of Spot Market Interfaces on Local Energy Market Trading , 2019, 2019 16th International Conference on the European Energy Market (EEM).

[11]  Tamer Basar,et al.  The Impact of Aggregating Distributed Energy Resources on Electricity Market Efficiency , 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

[12]  H. Vincent Poor,et al.  Energy Storage Sharing in Smart Grid: A Modified Auction-Based Approach , 2015, IEEE Transactions on Smart Grid.

[13]  Walid Saad,et al.  Stochastic Games for the Smart Grid Energy Management With Prospect Prosumers , 2016, IEEE Transactions on Automatic Control.

[14]  H. Vincent Poor,et al.  Price Discrimination for Energy Trading in Smart Grid: A Game Theoretic Approach , 2015, IEEE Transactions on Smart Grid.

[15]  Vincent W. S. Wong,et al.  Load Scheduling and Power Trading in Systems With High Penetration of Renewable Energy Resources , 2016, IEEE Transactions on Smart Grid.

[16]  Walid Saad,et al.  Load Shifting in the Smart Grid: To Participate or Not? , 2015, IEEE Transactions on Smart Grid.

[17]  P. Pinson,et al.  Exogenous Cost Allocation in Peer-to-Peer Electricity Markets , 2019, IEEE Transactions on Power Systems.

[18]  C. Bordons,et al.  A Power P2P Market Framework to Boost Renewable Energy Exchanges in Local Microgrids , 2019, 2019 International Conference on Smart Energy Systems and Technologies (SEST).

[19]  Yi Tan,et al.  Autonomous energy community based on energy contract , 2020, IET Generation, Transmission & Distribution.

[20]  Quanyan Zhu,et al.  Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach , 2013, IEEE Transactions on Smart Grid.