Nash Equilibrium Estimation and Analysis in Joint Peer-to-Peer Electricity and Carbon Emission Auction Market With Microgrid Prosumers

• Published in: IEEE transactions on power systems Vol. 38; no. 6; pp. 1 - 13
• Main Authors: Zhu, Ziqing, Chan, Ka Wing, Bu, Siqi, Zhou, Bin, Xia, Shiwei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Bidding strategy; Carbon; Carbon dioxide; conditional value-at-risk; Distributed generation; Electricity; Electricity supply industry; Emission analysis; Emissions; Energy sources; Game theory; microgrid; Microgrids; multi-agent reinforcement learning; Multiagent systems; Nash equilibrium; P2P energy trading; Peer-to-peer computing; Quotas; Risk; Risk management; Strategy; Uncertainty

The joint Peer-to-Peer (P2P) electricity market (EM) and carbon emission auction market (CEAM) among prosumer microgrids (MGs) in the distribution network is a promising paradigm to facilitate the participation of distributed energy resources (DERs) and incentivize the decarbonization. In this marke...