摘要
针对5G融合配电网的经济性多基站能量共享机理及实现方法这一关键性问题,首先,构建基站能量共享系统,提出基站能量共享能力模型,建立基站间能量共享连接以及配电网-基站购电模型;之后,提出基于一对多升价匹配的低成本基站能量共享方法,解决能量共享冲突问题;最后,通过仿真验证所提算法的性能。仿真结果表明,相较于基于单边匹配的基站能量共享算法和基站最优购电算法,所提算法能够使基站群购电成本和弃光量分别降低14.37%、41.80%和56.80%、85.58%,可促进基站购电成本降低与新能源就地消纳,助力5G网络及新型电力系统建设。
In allusion to the key scientific issue of economic multi-base station energy sharing mechanism and implementation method for 5G-integrated distribution network,firstly,a base station energy sharing system was built,a base station energy sharing capability model was proposed,an inter-base station energy sharing connection model and an energy purchase model between base stations and distribution network were established.Secondly,a low-cost base station energy sharing method based on one-to-many price-rising matching was proposed to solve the energy sharing conflict problem.Finally,the performance of the proposed algorithm was verified by simulation.The results of simulation show that compared with the onesided matching based base station energy sharing algorithm and the base station optimal energy purchase algorithm,the proposed algorithm can reduce the energy purchase cost by 14.37%and 41.80%,and reduce the discarded amount of photovoltaic energy by 56.80%and 85.58%,respectively.The proposed algorithm can promote the cost reduction of base station and the local consumption of renewable energy,and contribute to the construction of 5G network and new power system.
作者
尹喜阳
吕国远
王忠钰
卢志鑫
刘乙召
李从非
周振宇
麻秀范
YIN Xiyang;LU Guoyuan;WANG Zhongyu;LU Zhixin;LIU Yizhao;LI Congfei;ZHOU Zhenyu;MA Xiufan(Information and Telecommunication Branch,State Grid Tianjin Electric Power Company,Hebei District,Tianjin 300010,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Changping District,Beijing 102206,China)
出处
《现代电力》
北大核心
2024年第2期310-317,共8页
Modern Electric Power
基金
国家电网有限公司总部管理科技项目资助(5700-202112191A-0-0-00)。
关键词
5G融合配电网
多基站能量共享
基站能量共享冲突
新能源就地消纳
一对多升价匹配
5G-integrated distribution network
multi-base station energy sharing
base station energy sharing conflict
renewable energy local consumption
one-to-many price-rising matching