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Online energy management strategies for base stations powered by the smart grid

机译:由智能电网提供支持的基站的在线能源管理策略

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We consider the problem of minimizing the electricity bill for a cellular base station powered by the smart grid and locally harvested renewable energy. We consider hourly-varying electricity prices made known one day ahead to the base station. We assume that the base station is equipped with a finite-capacity battery. We ensure that the instantaneous energy demand of the base station is satisfied and the constraints imposed by the battery are observed at any point in time. We propose several online energy management strategies that require only causal knowledge of the renewable energy generation and the power consumption profiles. We benchmark our proposed strategies against the optimal energy management policy which assumes perfect knowledge of all system parameters, e.g., base station energy usage and renewable energy generation, both in the past and the future. Simulation results show that the performance of our proposed online strategy deviates from the optimal by 2% at most.
机译:我们考虑最小化由智能电网和局部收获的可再生能源的蜂窝基站电费最小化电力票据的问题。我们考虑每小时的电价为基地站有一天着名。我们假设基站配备有限容量电池。我们确保满足基站的瞬时能量需求,并且在任何时间点观察由电池施加的约束。我们提出了几种在线能源管理策略,只需要对可再生能源产生的因果知识和功耗概况。我们将拟议的策略基准,防止最佳能源管理政策,这承担了对所有系统参数的完美了解,例如基站能源使用和可再生能源生成,都在过去和未来。仿真结果表明,我们拟议的在线策略的表现最多偏离了2%的最佳状态。

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