摘要
为解决边防哨所地处偏远、环境复杂、对能源需求大且上网成本高的问题,利用风光资源的互补性及氢能的能量密度高、绿色清洁等特点,提出了建立以风能和太阳能作为主要发电能源的风光耦合制氢系统,并选择氢能单元作为系统的储能单元,以满足边防哨所对能源多样性的需求,提高哨所从周边环境获取能量的能力。建立风光耦合制氢系统各子系统数学模型,以减小系统成本、提高可再生能源利用率、增大氢能产量为目标进行系统建设配置优化,选择系统各组件的额定功率作为设计变量,具体地区气象数据作为输入,利用第三代非支配排序遗传算法(NSGA-Ⅲ)进行求解,对优化得到的帕累托解集进行决策。通过层次图的绘制实现多维帕累托前沿可视化,得到了最优配置方案,并与未优化配置方案等进行对比,保障供电可靠性的同时可大幅度提高能源利用率、降低配置成本。
In order to solve the problems of the remote location of frontier sentries,complex environment,large energy demand,and high cost of access to the electricity network,the complementary nature of wind/photovoltaic resources,as well as the high energy density and green and clean characteristics of hydrogen energy were used to establish a wind/photovoltaic hydrogen production system with wind and solar energy as the main power generation energy.In addition,hydrogen energy was selected as the energy storage unit of the system to meet the demand for energy diversity of frontier sentries and improve the sentries eability to obtain energy from the surrounding environment.Firstly,the mathematical model of each subsystem of the wind/photovoltaic hydrogen production system was established,and the system construction configuration was optimized to reduce the system cost,improve the utilization rate of renewable energy,and increase hydrogen energy production.The rated power of each component of the system was chosen as the design variable,and the meteorological data of specific regions was used as input.The non-dominated sorting genetic algorithm-Ⅲ(NSGA-Ⅲ)was applied to solve the system,and decision-making was performed on the Pareto solution set obtained by optimization.The visualization of the multi-dimensional Pareto front was realized through the drawing of level diagrams,and the optimal configuration scheme was compared with the unoptimized configuration scheme,the energy utilization rate and configuration cost can be greatly improved while ensuring the reliability of power supply.
作者
齐海涛
刘咄
赵东澳
刘旭
QI Haitao;LIU Duo;ZHAO Dong’ao;LIU Xu(School of Mechanical Engineering&Automation,Beihang University,Beijing 100191,China;Engineering Training Center,Beihang University,Beijing 100191,China)
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2024年第10期3032-3041,共10页
Journal of Beijing University of Aeronautics and Astronautics
关键词
风力发电
光伏发电
电解制氢
混合能源系统
配置优化
wind power generation
photovoltaic power generation
hydrogen production by electrolysis
hybrid energy system
configuration optimization