Multi-microgrids Peer to Peer Electricity-carbon joint Trading Method Based on Multi-agent Ethical Enhancement Technology
* Equal contribution
Published in IEEE Transactions on Industry Applications, 2025
This work proposes a peer-to-peer (P2P) electricity–carbon joint trading method for multi-microgrids based on multi-agent ethical enhancement technology. By combining safe reinforcement learning with a privacy protection module, the method achieves low-carbon economic operation while adhering to the ethical principles of “do-no-harm” and “privacy protection”.
Authors: Fashun Shi, Lin Cheng, Yuguang Song, Pengjie Zhao, Yufei Xi, Kunyu Zhang, Haiwang Zhong
Links: [Paper]