标题： 一种基于时段的离网电信运营商储能决策方法 显示英文标题

标题： A slot-based energy storage decision-making approach for optimal Off-Grid telecommunication operator

摘要： 本文提出了一种基于时隙的储能方法，用于离网电信运营商的决策制定背景。 我们考虑了由太阳能电池板供电的网络系统，其中采集的能量存储在电池中，当电池充满电时还可以出售。 为了反映现实世界的情况，我们考虑了非平稳的能量到达和服务需求，这些需求取决于一天中的时间以及光伏面板的故障状态。 我们所建模的网络运营商面临两个相互冲突的目标：维持基础设施的运行，并出售（或供应给其他网络）完全充电电池的多余能量。 为了解决这些挑战，我们开发了一种基于时隙的马尔可夫决策过程（MDP）模型，该模型结合了能源销售的正向奖励，以及能源损失和电池耗尽的惩罚。 这种基于时隙的MDP遵循一种特定的结构，我们之前已经证明其在计算性能和准确性方面是高效的。 从这个模型中，我们推导出一种最优策略，以平衡这些相互冲突的目标并最大化平均奖励函数。 此外，我们展示了不同城市和月份的结果比较，运营商在部署其基础设施时可以根据地点特定的能量可用性和季节性变化来考虑以最大化奖励。 显示英文摘要

摘要： This paper proposes a slot-based energy storage approach for decision-making in the context of an Off-Grid telecommunication operator. We consider network systems powered by solar panels, where harvest energy is stored in a battery that can also be sold when fully charged. To reflect real-world conditions, we account for non-stationary energy arrivals and service demands that depend on the time of day, as well as the failure states of PV panel. The network operator we model faces two conflicting objectives: maintaining the operation of its infrastructure and selling (or supplying to other networks) surplus energy from fully charged batteries. To address these challenges, we developed a slot-based Markov Decision Process (MDP) model that incorporates positive rewards for energy sales, as well as penalties for energy loss and battery depletion. This slot-based MDP follows a specific structure we have previously proven to be efficient in terms of computational performance and accuracy. From this model, we derive the optimal policy that balances these conflicting objectives and maximizes the average reward function. Additionally, we present results comparing different cities and months, which the operator can consider when deploying its infrastructure to maximize rewards based on location-specific energy availability and seasonal variations.