考虑部分负荷特性的可再生能源多能互补系统建模

Modeling of the Energy System with the Complementation of Multiple Renewable Energy Sources by Considering Part-load Performance

为助力实现“双碳”目标,构建了包含风能、光能、生物质能的可再生能源多能互补系统。首先,设计了系统的物理结构并确定了“以电定热”的运行策略;其次,针对传统稳态建模精度低、结果误差大等不足,提出了考虑部分负荷特性的系统动态建模方法;最后,提出了NSGA-Ⅱ算法(非支配排序遗传算法,Nondominated Sorting Genetic Algorithms,简称NSGA)结合指标赋权的系统配置优化方法。结果表明:相较于稳态模型,动态模型下的系统运行结果对于实际工程建设更具指导意义;优化后动态模型的系统综合性能较两组稳态模型分别提高了52.2%和14.6%,能够较好地优化系统配置。

To speed up the realization of“Carbon Peaking and Carbon Neutrality Goals”,this paper constructed a system with the complementation of renewable energy sources that include wind,solar,and biomass.The physical structure of the system was designed and the operation strategy was determined as“heating by electricity”in the first place.Based on this,a dynamic system modeling considering part-load performance was proposed to deal with the problems of poor accuracy and big errors occurring in traditional steady-state modeling.Finally,the system configuration was optimized by combining NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithms)with indicator weighting.The results have shown that the dynamic model provides better guidance for practical system construction than traditional ones,and that its overall properties improve by 52.2%and 14.6%after optimization compared to the two steady-state models,demonstrating its ability to better optimize the configuration.