李永毅, 王子晗, 张磊, 雷彤彤, 梁颖琦, 张国强, 许诚. 风-光-氢-燃气轮机一体化氢电耦合系统容量配置优化[J]. 中国电机工程学报, 2025, 45(2): 489-501. DOI: 10.13334/j.0258-8013.pcsee.232133
引用本文: 李永毅, 王子晗, 张磊, 雷彤彤, 梁颖琦, 张国强, 许诚. 风-光-氢-燃气轮机一体化氢电耦合系统容量配置优化[J]. 中国电机工程学报, 2025, 45(2): 489-501. DOI: 10.13334/j.0258-8013.pcsee.232133
LI Yongyi, WANG Zihan, ZHANG Lei, LEI Tongtong, LIANG Yingqi, ZHANG Guoqiang, XU Cheng. Capacity Allocation Optimization of Integrated Hydrogen-electric Coupling System of Wind-solar-hydrogen-gas Trubine[J]. Proceedings of the CSEE, 2025, 45(2): 489-501. DOI: 10.13334/j.0258-8013.pcsee.232133
Citation: LI Yongyi, WANG Zihan, ZHANG Lei, LEI Tongtong, LIANG Yingqi, ZHANG Guoqiang, XU Cheng. Capacity Allocation Optimization of Integrated Hydrogen-electric Coupling System of Wind-solar-hydrogen-gas Trubine[J]. Proceedings of the CSEE, 2025, 45(2): 489-501. DOI: 10.13334/j.0258-8013.pcsee.232133

风-光-氢-燃气轮机一体化氢电耦合系统容量配置优化

Capacity Allocation Optimization of Integrated Hydrogen-electric Coupling System of Wind-solar-hydrogen-gas Trubine

  • 摘要: 可再生能源的大规模并网给电网的灵活性提出了更高的要求,高可再生能源渗透率下的弃风弃光问题凸显。该文提出一种基于“电-氢”双向耦合的风-光-氢-燃气轮机一体化氢电耦合系统,使用数据驱动方法建立掺氢燃气轮机联合循环部分工况模型,并融合风力发电机、光伏电池板和电解槽的机理模型建立系统全工况模型,构建系统运行调控策略,并建立基于NSGA-Ⅱ算法的多目标容量配置优化模型。获得了典型环境参数和负荷需求下以年利润最大、CO2排放量最低为目标的Pareto最优解集。结果表明:CO2排放量可降低至396 g/(kW⋅h),缺电率最低为0.004 5,弃电率最低为0.010 5;相比于光伏,提高风电装机容量更有利于降低CO2排放,在风电装机容量达到72.89 MW时,CO2排放量达到最低的94.83万t/年;追求低CO2排放将导致经济效益恶化,而过度追求经济效益则不利于系统供电的可靠性,经济效益最高的配置方案年利润为3 586万元,功率供应缺失率达到0.104 9。提出的风-光-氢-燃气轮机一体化系统,可有效消纳可再生能源,降低CO2排放,提高供电可靠性。

     

    Abstract: Higher demands on the flexibility of the power grid have been posed by the large-scale grid connection of renewable energy, and the issue of wind and solar abandonment under the high penetration rate of renewable energy has gained prominence. This paper proposes an integrated hydrogen- electric coupling system based on "electric-hydrogen" two-way coupling for wind-solar-hydrogen-gas turbines. The hydrogen- blend gas turbine combined cycle model is established in part working conditions using the data-driven method. The wind generator, photovoltaic panel, and electrolyzer mechanism models are integrated to establish the system full-working condition model based on the fusion of data and mechanism. The multi-objective capacity configuration optimization model based on NSGA-Ⅱ algorithm is established. Under typical environmental conditions and load demand, the Pareto optimal solution set with the goals of greatest annual profit and minimum CO2 emission is obtained. The findings indicate that the lowest power loss rate is 0.004 5, the lowest power abandonment rate is 0.010 5, and the CO2 emission may be decreased to 396 g/(kW⋅h). Growing wind power's installed capacity is a more effective way to lower CO2 emissions than growing PV. The lowest level of CO2 emissions, which is 948, 300 tons/year, can be achieved when wind power reaches 72.89 MW installed capacity. The pursuit of reduced CO2 emissions will cause economic gains to decline, and the unwarranted pursuit of economic benefits will harm the system's ability to produce power reliably. The configuration scheme that yields the maximum economic benefits has an annual profit of 35.86 million yuan and a power supply loss rate of 0.104 9. This integrated wind-solar-hydrogen-gas turbine system can efficiently absorb renewable energy, lower CO2 emissions, and increase power supply reliability.

     

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