基于混合博弈与碳交易的多虚拟电厂协同调度方法及系统
By adopting a multi-virtual power plant collaborative scheduling method based on hybrid game theory and carbon trading, the problems of output fluctuation and insufficient regulation capacity of multiple virtual power plants under the high proportion of renewable energy access to the grid are solved. This method achieves joint optimization driven by carbon trading costs, thereby improving the operating efficiency of the power grid and the utilization rate of clean energy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU GEHUDA TECH CO LTD
- Filing Date
- 2025-10-29
- Publication Date
- 2026-07-17
AI Technical Summary
With a high proportion of renewable energy connected to the grid, multiple virtual power plants, due to their independent interests and decision-making autonomy, experience large fluctuations in output and insufficient regulation capacity. Traditional centralized optimization dispatch methods are difficult to adapt to their decentralized and autonomous operation characteristics. Moreover, how to dynamically form an optimization alliance and achieve fair and reasonable cost sharing and benefit distribution while ensuring the interests of all stakeholders remains a technical challenge.
A multi-virtual power plant collaborative scheduling method based on hybrid game theory and carbon trading is adopted. By constructing a non-cooperative game model, each virtual power plant obtains a preliminary optimal output strategy with the goal of minimizing operating costs. The operating status is detected, and a cooperative optimization mechanism is triggered when there is a risk of insufficient absorption or carbon emission exceeding the standard, forming a joint optimization group. Cost sharing and benefit sharing are realized within the joint optimization group, and settlement is carried out in the carbon market trading.
It has improved the overall operating efficiency of the power grid, reduced wind and solar curtailment, increased the utilization rate of clean energy, and driven the virtual power plant to adjust its output strategy by explicitly incorporating carbon trading costs, thereby achieving cross-entity power sharing and energy storage sharing, and improving the system's operating economy and low-carbon level.
Smart Images
Figure CN121414030B_ABST