含氢能汽车负荷的住宅光-氢耦合能源系统容量优化配置

Optimal Capacity Configuration of Residential Solar-Hydrogen Coupling Energy System with Hydrogen Vehicle Load

针对家用氢能汽车对住宅能源系统的影响,构建电、热、氢多元储能耦合光伏/光热设备的住宅氢能综合能源系统,提出基于混合整数线性规划理论的系统容量配置优化数学模型。首先,以光伏、光热高效产能为主体,以氢能为主要能量转换和存储媒介,设计满足住宅电、热负荷及氢能汽车氢负荷的供能系统架构;其次,以系统内设备容量为优化变量,系统等年值投资费用最低为目标函数,供能可靠性等为约束条件,建立系统容量优化配置模型;最后,设置年总投资节约率和可再生能源利用率作为评价指标,求解得到优化后系统年总投资节约42.21%,可再生能源利用率提升33.32%。同时设置电动汽车和氢能汽车2种不同移动负荷场景,针对氢能设备价格进行灵敏度分析,结果表明当价格下调超过60%后含氢能汽车负荷的住宅供能系统将更具经济性优势。

To address the impact of household hydrogen vehicles on residential energy system,an integrated residential energy system is designed with multiple types of energy storage devices including electric,thermal and hydrogen storage components coupled with photovoltaic/photothermal equipment.The mathematical model based on mixed integer linear programming theory is then proposed for system capacity configuration optimization.Firstly,with the high-efficiency photovoltaic and solar-thermal devices as the major energy production contributor,and the hydrogen energy as the major energy conversion and storage medium,the energy supply system architecture is designed to meet the residential electric,heat and hydrogen vehicle’s load requirements.Secondly,by setting the capacity of the equipment in the system as the optimization variable,and the minimization of annual investment cost of the system as the objective function,the reliability of energy supply and other factors as the constraints,the system optimal capacity configuration model is established.Finally,the system performance is evaluated in terms of the annual total investment saving rate and renewable energy utilization rate,which decreases by 42.21%and increases by 33.32%respectively after optimization.Meanwhile two different mobile load scenarios are constructed with exclusive electric vehicles and hydrogen energy vehicles respectively.Then the sensitivity analysis regarding the price of hydrogen energy equipment is carried out.It turns out that the residential energy supply system with hydrogen energy vehicle load will demonstrate more economic advantages if the hydrogen equipment price is reduced by more than 60%.