Control method for peak regulation ancillary service market participation of optical storage system considering carbon benefit
By constructing an optimized scheduling model for photovoltaic and energy storage systems that takes carbon revenue into account, photovoltaic power plants can participate in grid peak-shaving ancillary services, thus solving the problems of energy waste and insufficient peak-shaving capacity caused by the randomness and intermittency of photovoltaic power generation, and achieving stable absorption and maximization of photovoltaic power generation revenue.
Patent Information
- Application Number
- CN202211476895.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-23
- Publication Date
- 2026-05-01
- Estimated Expiration
- 2042-11-23
AI Technical Summary
The randomness and intermittency of photovoltaic power generation in existing technologies lead to the phenomenon of reverse peak shaving, resulting in energy waste. Furthermore, the peak shaving capacity is insufficient, making it difficult to effectively absorb new energy sources. The peak shaving capacity of the existing peak shaving ancillary service market is also limited.
We construct an optimized scheduling model for photovoltaic-storage systems that takes carbon revenue into account. By having photovoltaic power plants participate in grid peak-shaving ancillary services and combining the interaction and power transfer modes of energy storage systems, we optimize the control methods of photovoltaic-storage joint systems to maximize net revenue, including peak-shaving market revenue and carbon emission reduction revenue, while reducing energy storage scheduling and photovoltaic system operation and maintenance costs.
It has achieved stable absorption of photovoltaic power generation, improved the peak-shaving capacity of the power grid, maximized the revenue of photovoltaic-storage systems in the peak-shaving ancillary service market, and reduced energy waste and operation and maintenance costs.