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.

CN122334856APending Publication Date: 2026-07-03BINZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER +1
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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

Technical Problem

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.

Method used

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.

Benefits of technology

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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Abstract

This invention belongs to the field of multi-energy dispatching technology, specifically a method and system for multi-energy coordinated adaptive dispatching of photovoltaic, biogas, and thermal storage loads. The method includes establishing a multi-energy coupled system model encompassing photovoltaic, biogas, heat pump, thermal storage, and electrothermal loads; characterizing the nonlinear influence of fermentation temperature on biogas production rate and dynamic heat balance; constructing a two-stage rolling optimization framework: the first stage uses the fermentation cycle as a window to determine the temperature setpoint and biogas storage boundary; the second stage uses a 24-hour window to jointly optimize grid interaction, heat pump heating, thermal storage charging and discharging, and adjustable loads; constructing a Markov decision process in the day-ahead dispatching stage, and solving it using an improved approximate dynamic programming approach; and issuing dispatching commands based on the optimal decision sequence to complete closed-loop execution. This invention achieves coordinated optimization across fermentation cycles and day-ahead dispatching, effectively addressing uncertainties in photovoltaic output and load, and improving renewable energy absorption rate and system operating economy.
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