电工技术学报2016，Vol.31Issue(14)：21-30,10.
风电-氢储能与煤化工多能耦合系统设备投资规划优化建模
Optimal Modeling on Equipment Investment Planning of Wind Power-Hydrogen Energy Storage and Coal Chemical Pluripotent Coupling System
摘要
Abstract
Organically combining the wind power and coal chemical via the hydrogen energy storage system is one of the effective measures to increase the consumption capacity of wind farm and reduce energy consumption and emission of hydrogen production. A highly absorptive and low carbon integrated architecture design of wind power-hydrogen energy storage and coal chemical pluripotent coupling system was put forward. The optimized mathematical model of pluripotent coupling system was established, to minimize the one off investment, where the fully consumption of wind power and stable operation of coupling system were taken as constraint conditions. The above model was solved by genetic algorithm (GA). At last, taken a wind farm and coal enterprises in Xinjiang as examples, the validity of the proposed integrated architecture and its optimal mathematical model were verified. The changing rules of system investment costs were analyzed under the different wind power grid scales and wind power non-electric consumption scales according to prescriptive application scenarios.关键词
风力发电/氢储能/煤化工/设备投资规划/遗传算法Key words
Wind power/hydrogen energy storage/coal chemical/equipment investment plan/genetic algorithm分类
能源科技引用本文复制引用
袁铁江,李国军,张增强,张龙,蔡高雷,梅生伟..风电-氢储能与煤化工多能耦合系统设备投资规划优化建模[J].电工技术学报,2016,31(14):21-30,10.基金项目
新疆杰出青年自然科学基金（2014711005），国家自然科学基金（51577163）和国家自然科学基金创新群体（51321005）资助项目。 （）
