TY  - EJOU
AU  - Xiao, Bai 
AU  - Wang, Yusong 
AU  - Du, Chenxi 
AU  - Bu, Jingjun 
AU  - Sun, Yansen 
AU  - Wei, Zheng 

TI  - Research on Stable and Economic Operation of Integrated Wind-Solar-Storage-Hydrogen-Ammonia-Methanol System
T2  - Energy Engineering

PY  - 
VL  - 
IS  - 
SN  - 1546-0118

AB  - To fulfill the national dual-carbon objectives, numerous sectors have rolled out comprehensive strategies to accelerate deep decarbonization efforts. One particularly promising approach involves expanding the manufacturing of green hydrogen alongside its derived chemical commodities, thereby enhancing the grid integration capacity of renewable wind and solar resources—a novel model that fosters cross-sector collaboration between the energy and chemical industries. Nonetheless, a fundamental tension persists: the inherent intermittency and unpredictability of wind and solar power generation stand in stark contrast to the operational stability and cost-effectiveness demanded by chemical manufacturing processes. To tackle this challenge, this study puts forward an optimally balanced and economically viable operation strategy tailored for the integrated wind-solar-storage-hydrogen-ammonia-methanol system. Unlike existing studies that address hydrogen-ammonia or hydrogen-methanol systems separately, this work contributes a unified integrated wind, solar, storage, hydrogen, ammonia, and methanol system, a Copula-K-means hybrid scenario method capturing joint wind-PV uncertainty, and an electrolyzer centered control strategy that balances chemical-process stability, renewable consumption and economics. First, a typical wind-solar output scenario model is built by combining Copula-based scenario generation with K-means clustering reduction. Next, with net profit maximization as the objective, a control strategy that jointly satisfies renewable integration requirements and the operational stability of chemical processes is developed, yielding a mixed-integer linear programming model solved by the Cplex solver. The model is formulated as a large-scale MILP and solved via CPLEX, whose branch-and-cut algorithm ensures robust convergence and computational efficiency. Finally, through comprehensive case studies, the numerical results validate the soundness and practical utility of the method developed in this research. Specifically, compared with the fixed 8-h interval benchmark, the proposed method increases the system net revenue by 12.5%, raises the wind–solar absorption rate by 7.58 percentage points, and reduces carbon emissions by 10.0%, At the same time, the stable operation of the system is ensured.
KW  - Integrated system; electrolyzer; control strategy; stable operation; economics

DO  - 10.32604/ee.2026.082596