摘要
随着5G基站建设不断推广,基站能耗大、成本高的问题备受关注。通过光储系统的配置和优化运行,并进一步参与调峰辅助服务,可有效提升5G基站用能的经济性,同时实现绿色能源在5G基站中的规模应用。因此,针对5G基站光储系统参与电网调峰辅助服务的经济性开展了研究。首先,根据基站负荷特性和不同调峰时段建立了考虑光储系统参与调峰辅助服务的优化目标模型;然后,采用CPLEX优化求解工具进行优化模型的求解,获取储能的最优容量和运行策略;最后,构建了储能单独参与调峰、光储联合参与调峰等场景,通过算例分析了不同调峰模式对储能的优化配置容量和5G基站用能成本有较大的影响,可为5G智慧基站光储系统参与调峰辅助服务的优化运行提供了参考。
As the construction of 5G base stations continues to spread,the issue of high energy consumption and high cost of base stations is a major concern.Through the configuration and optimal operation of photovoltaic(PV)and energy storage,and further participation in peak regulation auxiliary services,the economy of 5G base station energy use can be effectively improved,and the scale application of green energy in 5G base stations can be realized.Therefore,the economics of 5G base station PV and energy storage systems participating in peak regulation auxiliary services are studied.Firstly,an optimization goal model considering the participation of PV and energy storage systems in peak regulation auxiliary services is established according to the load characteristics of base stations and different peak regula⁃tion periods;Then,CPLEX optimization solver is used to solve the optimization model and obtain the optimal capacity and operation strate⁃gy of energy storage.Finally,the scenarios of energy storage independently participating in peak regulation and PV and storage jointly par⁃ticipating in peak regulation are constructed with different peaking modes are built and cases show that greatly affect the optimal configura⁃tion capacity of energy storage and the energy cost of 5G base stations.A reference for the optimal operation of 5G smart base station opti⁃cal storage system participating in peak regulation auxiliary services can be provided.
作者
崔磊
朱静
唐锋来
CUI Lei;ZHU Jing;TANG Fenglai(Huaneng Jiangsu Comprehensive Energy Service Co.,Ltd.,Nanjing 210015,China)
出处
《电力需求侧管理》
2024年第1期108-112,共5页
Power Demand Side Management
基金
中国华能集团公司科技项目(HN-49A0-202200025-PWQT00021)。
关键词
5G基站
光储联合调峰
调峰时段
经济性
5G base station
peak regulation with PV and energy storage system
peak regulation period of load
economy