Optimal configuration of 5G base station energy storage considering sleep mechanism
2022-03-18
【论文推荐】华北电力大学 麻秀范等：考虑休眠机制的5G基站储能优化配置
文章导读
5G基站能耗高且建设密度大，对于备用储能电池的需求大幅增加。为使基站储能投资方和运营方的综合效益最大，提出一种考虑休眠机制的5G基站储能运行和规划双层优化模型。以5G宏基站组成的多基站协作系统为研究对象，外层目标为储能全寿命周期内净收益最大，对储能配置功率和容量进行优化；内层考虑基站休眠机制，以5G基站系统日电费成本最小为目标，优化储能充放电策略。然后，通过遗传算法和混合整数规划求解该双层优化模型，算例比较了三种类型电池的配置和净收益，验证了模型的有效性，并分析了休眠机制、充放电策略对于能耗及经济效益的影响，为5G基站储能配置提供参考。
Optimal configuration of 5G base station energy storage considering sleep mechanism
考虑休眠机制的5G基站储能优化配置
Xiufan Ma, Qiuping Zhu, Ying Duan, Xiangyu Meng, Zhi Wang
(School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, P. R. China)
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Abstract
Keywords
5G base station, Sleep mechanism, Energy storage configuration, Full life cycle, Bi-level optimization.
Fig.1 Structure diagram of 5G acer station
Fig.2 Optimal configuration model architecture
Fig.3 Flow chart of solution
Fig.4 Schematic diagram of system
Fig.5 Daily electricity rate of base station system
Fig.6 Charging and discharging strategies under three configuration schemes
Fig.7 Optimized results of energy storage charging and discharging
Fig.B1 Load curves of 5G base stations at the edges of various areas before and after sleep mechanism
Fig.B2 Load curves of 5G base stations inside various regions before and after sleep mechanism
Fig.B3 Total system power consumption and reduced percentage before and after sleep mechanism
本文引文信息
Xiufan Ma, Qiuping Zhu, Ying Duan, Xiangyu Meng, Zhi Wang (2022) Optimal configuration of 5G base station energy storage considering sleep mechanism. Global Energy Interconnection, 5(1):66-76
麻秀范，朱秋萍，段颖，孟祥玉，王志（2022）考虑休眠机制的5G基站储能优化配置. 全球能源互联网（英文），5(1): 66-76
Biographies
Xiufan Ma
received the B.S. and M.S. degrees in Electrical Engineering from Northeast Electric Power University, Jilin, China, in 1992 and 1995, respectively, and a Ph.D. degree in Electrical Engineering from North China Electric Power University, Beijing, China, in 2013. She is currently an Associate Professor with the School of Electrical and Electronic Engineering, North China Electric Power University. Her current major research interests include distribution network planning and operation, and electric vehicle planning and operation.
Qiuping Zhu
received the B.S. degree in Electric Engineering from Shanghai University of Electric Power, Shanghai, China, in 2019. She is currently working towards a Master’s degree at the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. Her research interests include the optimal configuration of energy storage, and the power market.
Ying Duan
received the B.S. degree in Electric Engineering from North China Electric Power University, Beijing, China, in 2018. She is currently working towards a Master’s degree at the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. Her research interests include the optimal configuration of energy storage, and the power market.
Xiangyu Meng
received the B.S. degree in Electric Engineering from Minzu University of China, Beijing, China, in 2018. She is currently working towards a Master’s degree at the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. Her research interests include energy storage optimization scheduling, and the power market.
Zhi Wang
received the B.S. degree in Electric Engineering from North China Electric Power University, Beijing, China, in 2019. He is currently working towards a Master’s degree at the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China. His research interests include energy storage optimization scheduling, integrated energy systems, and the power market.
编辑：王彦博
审核：王 伟
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