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作 者:陈金阳 雷勇[1] 曹晓燕[1] 何鑫 祝晓波 CHEN Jinyang;LEI Yong;CAO Xiaoyan;HE Xin;ZHU Xiaobo(College of Electrical Engineering,Sichuan University,Chengdu 610065,Sichuan,China;China Tower Co.,Ltd.Luzhou Company,Luzhou 646000,Sichuan,China)
机构地区:[1]四川大学电气工程学院,四川成都610065 [2]中国铁塔股份有限公司泸州市分公司,四川泸州646000
出 处:《电气传动》2022年第16期55-62,共8页Electric Drive
基 金:四川省教育部科技项目(2018CDLZ-28)。
摘 要:偏远地区5G通讯基站的运行功耗较大,风光新能源构成的基站供电系统可以很好地解决偏远地区电网难以接入的问题。新能源基站供电系统元件容量的选取对系统的稳定性和经济性均有重大影响。为实现稳定性和经济性的综合规划,以等价年金总成本和负荷缺电率最小化为目标函数,以蓄电池荷电状态、年污染物排放量等为约束条件建立容量配置优化模型,提出一种混合NSGA-Ⅱ算法引入帕累托前沿的求解。针对传统NSGA-Ⅱ算法初始群体选取较随意和拥挤度计算方法进行了相应改进,使得改进后的算法收敛性和帕累托前沿多样性有了较大提升。最后,利用改进后的混合NSGA-Ⅱ算法对四川某实际通讯基站供电系统项目进行配置优化求解,验证了混合NSGA-Ⅱ算法的有效性。The operation of 5G communication base stations in remote areas requires a lot of power.The base station power supply system composed of wind and solar new energy can well solve the problem of difficult access to the power grid in remote areas.The selection of the component capacity of the new energy base station power supply system has a significant impact on the stability and economy of the system.In order to realize the comprehensive planning of stability and economy,the objective function was established as the total cost of equivalent annuity and the load shortage rate and the capacity allocation optimization model was established with the constraints of battery state of charge and annual pollutant emissions,the optimization algorithm NSGA-Ⅱwas proposed to find the solution of Pareto front.Corresponding improvements were made to the random and crowded comparison methods of the initial group selection of the original algorithm,which greatly improves the convergence of the improved algorithm and the uniformity of the Pareto front.Finally,the improved hybrid NSGA-Ⅱalgorithm was used to optimize the configuration of an exemplary communication base station power supply system in Sichuan Province.The effectiveness of the hybrid NSGA-Ⅱalgorithm was verified with the results of the calculation examples.
关 键 词:5G通讯基站 混合NSGA-Ⅱ算法 容量配置优化 帕累托前沿多样性
分 类 号:TM61[电气工程—电力系统及自动化]
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