基于改进海鸥算法的微能源网双层优化配置研究  

Research on Double Layer Optimization Configuration of Micro Energy Network Based on Improved Seagull Algorithm

作　　者：张茜颖 ZHANG Qianying(Changzhou Jintan District Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Changzhou,Jiangsu 213200,China)

机构地区：[1]国网江苏省电力有限公司常州市金坛区供电分公司,江苏常州213200

出　　处：《自动化应用》2025年第3期177-179,共3页Automation Application

摘　　要：为解决实际运行中功率远超过负荷、排污量较大的问题,引入改进海鸥算法对微能源网双层优化配置问题进行研究。将微能源网经济成本最少作为上层目标函数,CO_(2)排放量最小作为下层目标函数,建立双层目标函数并设定约束条件,然后构建微能源网双层优化配置模型。通过优化搜索策略对海鸥算法进行改进,利用改进海鸥算法对配置模型进行求解计算,得到最优配置方案,实现双层优化配置。实验结果表明,应用该方法后功率平衡度较高,且CO_(2)排放量有效降低,证明该方法具有良好的应用前景。In order to solve the problem of power far exceeding the load and large pollution discharge in actual operation,an improved seagull algorithm is introduced to study the double layer optimization configuration problem of micro energy networks.Taking the minimum economic cost of the micro energy network as the upper objective function and the minimum CO_(2) emissions as the lower objective function,and then a double layer objective function is established and constraint conditions are set.A double layer optimization configuration model for the micro energy network is constructed.The seagull algorithm is improved through optimization search strategy,and the improved seagull algorithm is used to solve and calculate the configuration model,obtaining the optimal configuration scheme and achieving double layer optimization configuration.The experimental results show that this method has a high power balance and effectively reduces CO_(2) emissions,demonstrating its promising application prospects.

关 键 词：改进海鸥算法 微能源网 双层优化 经济成本 CO_(2)排放量 

分 类 号：TM732[电气工程—电力系统及自动化]