Optimal configuration for photovoltaic storage system capacity in 5G base station microgrids
2021-12-03
【论文推荐】华北电力大学 麻秀范等：5G基站微网光储系统容量优化配置
文章导读
基站运营商将大量部署分布式光伏，解决5G基站能耗高、电费贵等问题。文中利用基站备电储能闲置空间，稳定光伏出力，构建5G基站光储微网。针对光储系统容量规划问题，提出一种双层优化配置方法：内层优化计及基站微网间的能量共享，结合5G基站的通信特性和储能电池备电需求，以基站微网日运行成本最小为目标，确定各光储系统的经济调度策略；外层模型以计及削峰填谷的5G基站微网年均综合收益最小为目标，优化光储容量。两层模型分别用cplex求解器和遗传算法进行求解。以某地区5G基站建设实际进行算例分析，结果表明所提出的模型在降低5G基站运营商成本的同时，能够降低电网高峰负荷、促进光伏电源就地消纳。
Optimal configuration for photovoltaic storage system capacity in 5G base station microgrids
5G基站微网光储系统容量优化配置
Xiufan Ma1, Ying Duan1, Xiangyu Meng1, Qiuping Zhu1, Zhi Wang1, Sijia Zhu2
(1.North China Electric Power University, Beijing 102206, P.R.China 2.State Grid Zhejiang Electric Power Co., Ltd. Maintenance Branch, Zhejiang 311100,P.R.China)
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Abstract
Keywords
Photovoltaic, Energy storage, 5G base station microgrid, Bilayer optimization.
Fig.1 Microgrid control architecture of a 5G base station
Fig.2 Architecture of the aggregated interaction platform for controllable resources
Fig.3 Flowchart for solving the bilayer model
Fig.4 Typical daily load curves before and after application of the sleep algorithm of the three types of 5G base station microgrid
Fig.5 The energy storage and charge state range and capacity ratio diagram of various optical storage systems in Scenario 4
Fig.6 Comparison between the load curve of scenario 4 and the original load curve
本文引文信息
Wu Z, Chen X, Wu G (2021) Information acquisition technology for small hydropower stations in remote areas based on high-and low-orbit satellites. Global Energy Interconnection, 4(5): 513-519
吴赞红，陈相业，吴冠贤 (2021) 基于高低轨卫星的偏远地区小水电厂站信息采集技术. 全球能源互联网（英文），4(5): 513-519
Biographies
Xiufan Ma
Xiufan Ma received the B.S. and M.S. degrees in electric engineering from Northeast Electric Power University, Jilin China, in 1992 and 1995, respectively, and the 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.
Ying Duan
Ying Duan received the B.S. degree in electric engineering from North China Electric Power University, Beijing, China, in 2018. She is currently working toward 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
Xiangyu Meng received the B.S. degree in electric engineering from Minzu University of China, Beijing, China, in 2018. She is currently working toward 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.
Qiuping Zhu
Qiuping Zhu received the B.S. degree in electric engineering from Shanghai University of Electric Power, Shanghai, China, in 2019. She is currently working toward 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.
Zhi Wang
Zhi Wang received the B.S. degree in electric engineering from North China Electric Power University, Beijing, China, in 2019. He is currently working toward 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.
Sijia Zhu
Sijia Zhu received the B.S. and M.S. degrees in electric engineering from North China Electric Power University, Beijing, China, in 2018 and 2021, respectively. She is currently employed at the State Grid Zhejiang Electric Power Company. Her research interests include the optimal configuration of energy storage and the power market.
编辑：王彦博
审核：王 伟
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