摘要
随着第5代移动通信技术(5G通信)的迅速发展,5G基站数量不断增加,5G通信耗电量大、用电成本高的问题日益突出。为此,提出了考虑光伏和储能接入的5G基站光储系统优化配置方法,以提高5G基站运行的经济性。首先,考虑5G基站负荷情况和配电网分时电价,建立了5G基站光储系统的经济调度模型;然后,通过量子粒子群优化算法计算典型日内5G基站光储系统的最小综合成本,以此确定光伏和储能的最优接入容量;最后,通过算例证明合理配置光伏和储能容量可以提高5G基站系统的经济性。光伏和储能容量的配置受储能成本和峰谷电价差的影响较大,且光储系统所能带来的经济效益随峰谷电价差的增大和储能成本的降低而增大。
With the rapid development of the 5th generation mobile communication technology(5G communication), the number of 5G base stations is increasing, and the problem of large power consumption and high electricity cost of 5G communication is becoming more and more prominent. Therefore, an optimal configuration method is proposed for the photovoltaic and energy storage system of 5G base station with consideration of the integration of photovoltaic power generation and energy storage to improve the economics of 5G base station operation. Firstly, considering the load of 5G base station and the time-of-use electricity price of distribution network, an economic dispatching model is built for the photovoltaic and energy storage system of 5G base station. Then,the quantum-behaved particle swarm optimization algorithm is used to calculate the minimum comprehensive cost of the photovoltaic and energy storage system of 5G base station in a typical day to determine the optimal capacity of photovoltaic power generation and energy storage. Finally, the calculation results show that reasonable capacity configuration of photovoltaic power generation and energy storage can improve the economy of 5G base station system. The configuration capacity of photovoltaic and energy storage is greatly affected by the energy storage cost and the peak-valley price difference. The economic benefits brought by the photovoltaic and energy storage system increase with the increase of peak-valley price difference and the decrease of energy storage cost.
作者
韩子颜
王守相
赵倩宇
郑志杰
HAN Ziyan;WANG Shouxiang;ZHAO Qianyu;ZHENG Zhijie(Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China;Key Laboratory of Tianjin Electric Power Simulation and Control,Tianjin University,Tianjin 300072,China;State Grid Shandong Electric Power Company Economic and Technology Research Institute,Jinan 250021,China)
出处
《中国电力》
CSCD
北大核心
2022年第9期8-15,共8页
Electric Power
基金
河北省省级科技计划资助项目(20312102D)
省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学)开放课题基金项目(EERI_KF2020006)。
关键词
5G基站
分时电价
储能
光伏发电
量子粒子群优化
5G base station
time-of-use electricity price
energy storage
photovoltaic power generation
quantum-behaved particle swarm optimization
