Multi-energy Cooperative Adaptive Scheduling Method and System for Photovoltaic-Swamp Thermal Load
By constructing a two-stage rolling optimization framework and an improved approximate dynamic programming algorithm, the problem of time scale differences between biogas fermentation and power dispatch in multi-energy systems was solved. This enabled the coordinated optimization of photovoltaic power generation, biogas power generation, and thermal storage systems, improved the adaptability of renewable energy consumption and dispatch strategies, and reduced operating costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BINZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-03
AI Technical Summary
Existing dispatching methods fail to effectively address the uncertainty of photovoltaic output and the time scale differences between multiple energy systems, especially the coordination problem between the slow dynamics of biogas fermentation and the fast response of power dispatch. This makes it difficult to coordinate and optimize the system, hindering the improvement of renewable energy consumption and the reduction of operating costs.
A two-stage rolling optimization framework spanning fermentation cycles and day-ahead scheduling is constructed. An improved approximate dynamic programming algorithm is used to handle photovoltaic and load uncertainties online, achieving coordinated optimization of long-cycle slow dynamics and short-cycle fast response. This includes establishing a multi-energy coupled system model and constructing a Markov decision process, and iterative optimization by combining radial basis function value function approximation and scenario relationship approximation.
This approach achieves coordinated optimization of the slow dynamics of biogas fermentation and the fast response of power dispatch in a multi-energy system, improving the level of renewable energy consumption, enhancing the adaptability of dispatch strategies, and reducing the overall operating cost of the system.
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