Multi-market collaborative multi-virtual power plant bidding method under low-carbon perspective
By constructing a five-flow coupling model of electricity, carbon, heat, hydrogen, and green certificates and a third-order nested game bidding model, the problem of insufficient resource utilization in multi-virtual power plant bidding is solved, the synergistic optimization of electricity and carbon emissions is achieved, the efficiency and benefits of resource allocation are improved, and the stability and robustness of the alliance are guaranteed.
Patent Information
- Application Number
- CN202610721010.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-25
- Publication Date
- 2026-06-26
AI Technical Summary
Existing technologies in multi-virtual power plant bidding optimization fail to fully utilize the resources of virtual power plants, such as heat, hydrogen, and renewable energy green certificates, resulting in low comprehensive resource utilization and an inability to achieve synergistic optimization of electricity and carbon emissions.
A five-flow coupled model of electricity, carbon, heat, hydrogen, and green certificates is constructed. A three-order nested game bidding model is used to coordinate multiple markets. Combined with deep reinforcement learning and risk management, the model realizes bidirectional matching and pairing trading of electricity and carbon, and generates the optimal equilibrium bidding solution for the five markets.
It improves the overall resource allocation efficiency of the multi-virtual power plant alliance, enhances the revenue potential of multiple markets, ensures the long-term stability and robustness of the alliance, reduces uncertainty risks, and increases carbon emission reduction rate and bidding revenue.