Wind-solar-hydrogen integrated energy optimization method and system considering methanation and carbon capture

By introducing carbon capture and methanation equipment into the integrated wind and solar energy system, establishing mathematical models, and optimizing scheduling and capacity configuration, the problems of wind and solar curtailment and low energy conversion efficiency have been solved, achieving efficient and environmentally friendly energy management.

CN115983419BActive Publication Date: 2026-07-24TECH COLLEGE BRANCH OF STATE GRID CORP OF CHINA +2
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Patent Information

Application Number
CN202211267772.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-17
Publication Date
2026-07-24
Estimated Expiration
2042-10-17

AI Technical Summary

Technical Problem

Traditional wind and solar integrated energy systems suffer from severe wind and solar curtailment, low efficiency and poor flexibility of energy conversion and storage equipment, and insufficient economic and environmental benefits. Furthermore, existing scheduling and capacity configuration methods lack universality.

Method used

A wind-solar-hydrogen integrated energy system was designed, taking into account carbon capture and methanation. Flexible equipment such as electrolyzers, hydrogen storage tanks, fuel cells, and methanation reactors were introduced. A mathematical model was established and the scheduling and capacity configuration were performed using MATLAB's CPLEX solver to optimize energy conversion and storage.

Benefits of technology

It has improved the capacity for wind and solar energy absorption and peak shaving and valley filling, reduced the amount of wind and solar curtailment and the total cost, achieved environmental protection and economic goals, and significantly reduced carbon emissions.

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Abstract

The present application provides a wind-solar-hydrogen comprehensive energy optimization method considering methanation and carbon capture, and belongs to the field of energy optimization. The method comprises the following steps: establishing a wind-solar-hydrogen comprehensive energy architecture considering carbon capture and methanation; based on the wind-solar-hydrogen comprehensive energy architecture considering carbon capture and methanation, establishing mathematical models of each energy flow conversion and storage device; based on the mathematical models of each energy flow conversion and storage device, establishing a scheduling model objective function and a capacity configuration objective function, and establishing constraint conditions of the scheduling model objective function and the capacity configuration objective function, wherein the scheduling model objective function is the minimum value of the sum of the energy purchase cost, the amount of abandoned wind and abandoned light, and the operation and maintenance cost, and the capacity configuration objective function is the minimum value of the sum of the construction cost, the operation and maintenance cost, and the carbon emission cost; and the optimal scheduling scheme and the optimal capacity configuration scheme are obtained by using a CPLEX solver. The present application provides a scheduling and capacity planning model considering system flexibility, which is innovative in model establishment and has universality.
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