Peer-to-Peer Energy Trading Considering Low-Carbon Preference

The acceleration of renewable energy resources prompts transition to the low-carbon networks. However, the intermittent output of RES causes severe operational problems. To cope with these problems, we develop a peer-to-peer (P2P) energy trading algorithm considering low-carbon preference. In the prosumer-centric market, prosumers are self-profit driven stakeholders who compete with each other by implementing both energy trading and demand response. A bi-level framework of self-profit driven prosumers as well as independent distribution system operator are proposed. The P2P energy trading market is formulated as an evolutionary game, characterizing competition relationships between seller prosumer and buyer prosumer. Furthermore, we propose a joint optimization algorithm of external energy trading and internal demand response. We introduce the operation and carbon network charges to incentive the autonomous prosumers to behave low-carbon and grid-friendly. Finally, we utilized the IEEE simulation system for verifying P2P trading algorithm on prompting low-carbon transition as well as increase profits of peers.