光伏光热互补发电系统多目标容量优化研究

将光伏发电和光热发电相结合,可以改善单独光伏发电可靠性低和单独光热发电成本高的缺陷。故提出一种针对光伏光热互补发电系统的多目标容量优化方法,旨在寻找平衡互补系统经济性和供电可靠性的最优折衷解。以张北地区的光伏光热互补发电系统为例,对其进行了容量优化,获得了帕累托最优解集,进而通过理想点法获得了最优折衷解,并通过敏感性分析研究了电负荷及容量参数变化对系统容量优化结果及性能的影响。结果表明,当太阳能倍数2.5、电加热器额定功率为74 MW、储热时长20 h、光伏装机容量82 MW和蓄电池容量为0时,互补系统有最优折衷解,相应的平准化度电成本和负载缺电率分别为1.06元/(kW·h)和5.57%。

风光储氢综合能源系统容量配置策略优化研究

在风光机组大量扩张下,风能和光能的间歇性和波动性等特点造成了严重弃风弃光现象。为解决该问题,将电解水制氢技术与综合能源系统相结合,并结合储能发电设备,构建风光储氢综合能源系统。首先,建立风光储氢综合能源系统中各单元模型;其次,考虑各单元的约束条件和系统运行特性,建立综合考虑可靠性、经济性及弃电率的多目标容量配置策略。在此基础上,利用MATLAB和商用求解器CPLEX对模型进行配置求解优化,分析系统在有无储氢技术的2种运行模式及系统有储氢技术时,3组权重系数对容量分配的影响。研究结果可为风光储氢综合能源系统容量配置策略优化提供参考。

Multi-objective optimization of process based on resource capability

To improve the practicability, suitability and accuracy of the trade-off among time, cost and quality of a process, a method based on resource capability is introduced. Through analyzing the relationship between an activity and its’ supporting resource, the model trades off the time, cost and quality by changing intensity of labor or changing the types of supporting resource or units of labor of resource in a certain time respectively according to the different types of its’ supporting resources. Through contrasting this method with the model of unit time cost corresponding to different quality levels and inter-related linear programming model of time, cost and quality for process optimizing, it is shown that this model does not only cover the above two models but also can describe some conditions the above two models can not express. The method supports to select different function to optimize a process according to different types of its supporting resource.