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Energy exchange among base stations in a Cellular Network through the Smart Grid

机译:通过智能电网在蜂窝网络中基站之间进行能量交换

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In this paper, we study the problem of minimizing the energy cost incurred by a Cellular Network Operator (CNO) in a Smart Grid (SG) environment. We consider a CNO that deploys several Cellular Base Stations (CBS) to serve a given geographical area. Each CBS is equipped with a limited-capacity battery and can be powered either by the SG or by a renewable-energy (RE) harvester. Given this topology, two-way energy flow is allowed between each CBS and the SG and between any pair of CBSs in the network through the SG. The space-time-dependent energy-buying and energy-sharing costs and the energy-selling prices are made known to the CNO in advance. Therefore, in order to minimize the total cost incurred by the CNO, we find the optimal energy-management strategy by solving a constrained optimization problem. The proposed strategy ensures that the instantaneous energy demand of each CBS and the constraints imposed by each battery are satisfied at every point in time. We evaluate the performance of the proposed solution using simulations. Our results show that a significant cost reduction can be achieved by implementing the proposed strategy.
机译:在本文中,我们研究了在智能电网(SG)环境中将蜂窝网络运营商(CNO)产生的能源成本降至最低的问题。我们考虑一个CNO,该CNO部署多个蜂窝基站(CBS)为给定的地理区域提供服务。每个CBS都配备有容量有限的电池,并且可以由SG或可再生能源(RE)收割机供电。给定这种拓扑,允许每个CBS与SG之间以及网络中通过SG的任何一对CBS之间双向能量流。时空相关的能源购买和能源共享成本以及能源销售价格已提前告知了CNO。因此,为了使CNO的总成本最小化,我们通过解决约束优化问题来找到最佳的能源管理策略。所提出的策略确保在每个时间点都满足每个CBS的瞬时能量需求和每个电池施加的约束。我们使用仿真评估提出的解决方案的性能。我们的结果表明,通过实施所提出的策略可以显着降低成本。

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