Multi-period collaborative trading mechanism for microgrids based on dynamic bargaining framework and double revenue accounts
Current research on microgrid (MG) peer-to-peer (P2P) trading mainly focuses on the day-ahead market, where static Nash bargaining models are widely used for energy trading and benefit distribution. However, these models are inadequate for addressing the risks of cooperation breakdown and energy set...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004107 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Current research on microgrid (MG) peer-to-peer (P2P) trading mainly focuses on the day-ahead market, where static Nash bargaining models are widely used for energy trading and benefit distribution. However, these models are inadequate for addressing the risks of cooperation breakdown and energy settlement challenges in intra-day trading. Considering the limitations of traditional Nash bargaining in day-ahead trading, this paper develops an intra-day P2P trading framework for MGs. First, a dynamic-weighted Nash bargaining model is proposed, where bargaining power parameters of participants are dynamically adjusted based on rolling updates of renewable energy forecasts and load imbalance information, enabling adaptive benefit distribution over the trading periods. Secondly, to address the risk of cooperation breakdown in high-frequency bargaining, a double revenue accounts method is designed. The earned revenue account records the surplus from real trade, while the expected revenue account quantifies potential future gains, both working in tandem to ensure continuous trading. Building upon this, an elastic settlement mechanism is established. Beyond the conventional rolling-period trading layer, a compensatory trading layer based on historical settlement outcomes is introduced to effectively address energy settlement problems of cooperation breakdown periods. Finally, case studies validate the effectiveness of the proposed dynamic bargaining framework and elastic settlement design in promoting stable and cooperative P2P energy trading among MGs. Compared to the traditional approach, the proposed method increases the intra-day energy trading settlement success rate by approximately 61%. Moreover, it achieves a fairer profit distribution, as evidenced by an cost decrease of 4.60% for high-supply participants, highlighting the advantage of dynamically adjusted bargaining power in rewarding greater contribution. |
|---|---|
| ISSN: | 0142-0615 |