基于Floyd算法的5G基站区域储能分配策略

Regional Energy Storage Allocation Strategy of 5G Base Station Based on Floyd Algorithm

由于5G集中在人群密集区域配置,需要的基站数量多且能耗大,因此,运营商需要支付的购电成本很多。为了降低运营商的购电成本,本文提出一种基于Floyd算法的5G基站区域储能分配策略。首先,将供电网络中的5G基站区域储电站等效为一系列节点,并根据节点之间的距离信息计算出传输损失率矩阵;其次,对各节点的储能情况进行分析,并根据其储能情况将节点分为供能节点与需求节点;最后,基于Floyd算法来合理调配该储能网络中的能量。仿真结果表明,在不引入外部供电和引入外部供电两种情况下,本文所提出的系统在运行2 a或150 d后分别达到稳定状态,系统不再需要额外从公用电网购电,减轻了电网供电压力的同时,降低了运营商的购电成本。

Since 5G is concentrated on crowded areas,the number of base stations required is large and the energy consumption is large,so operators need to pay a lot on power purchase.In order to reduce the cost on power purchase,this paper proposes a regional energy storage allocation strategy for 5G base stations based on Floyd algorithm.Firstly,the 5G base regional storage station in the power supply network is equivalent to a series of nodes,and the transmission loss rate matrix is calculated according to the distance information between nodes.Secondly,the energy storage situation of each node is analyzed,and the nodes are divided into energy supply nodes and demand nodes according to their energy storage conditions.Finally,based on the Floyd algorithm,the energy in the energy storage network is reasonably allocated.The simulation results show that the system proposed in this paper reaches a stable state after two years of operation or 150 days of operation,respectively,and the system no longer needs to purchase additional power from the utility grid.While reducing the pressure on the power supply of the grid,it also reduces the cost on power purchase of operators.