基于北方苍鹰算法的风电-光热-水电联合发电系统运行优化

    Operation Optimization of the Wind-Solar-Hydropower Joint Generation System Based on the Northern Goshawk Algorithm

    • 摘要: 为了增加风电-光热-水电联合发电系统的效益, 提出了一种基于NGO算法的风电-光热-水电联合发电系统运行优化方法。以联合发电系统的售电收益最大为目标函数, 综合考虑风电场、光热电站和水电站的运行约束, 构建了联合发电系统运行模型, 并采用NGO算法对模型进行求解。通过算例分析, 验证了NGO算法在联合发电系统运行优化方面的有效性。

       

      Abstract: In order to improve the efficiency of the Wind-Solar-Hydropower joint generation system, an operation optimization method for this system based on the Northern Goshawk Optimization (NGO) algorithm is proposed. Taking the maximization of the electricity-selling revenue of the joint generation system as the objective function, and comprehensively considering the operation constraints of wind farms, solar power plants, and hydropower stations, an operation model of the joint generation system is established. The NGO algorithm is employed to solve this model. Through case-based analysis, the effectiveness of the NGO algorithm in optimizing the operation of the joint generation system is verified.

       

    /

    返回文章
    返回