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Optimal Battery Management Strategies in Mobile Networks Powered by a Smart Grid

机译:由智能电网供电的移动网络中的最佳电池管理策略

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We focus in this paper on energy management strategies for a mobile network equipped with battery storage capacity as well as local energy production capability, and powered by a smart grid. At each time instant, the mobile network operator has to decide whether to operate its network based on its own energy resources or the smart grid ones, with a possibility to sell energy to the smart grid as well. We formulate our problem using Markov decision process and derive an optimal offline policy which minimizes the operator energy bill, using dynamic programming algorithm. We show the optimality of our solution by numerical comparison with the solution obtained through linear programming. Our numerical applications allow us to further understand when the operator has an incentive to buy energy, whether it is beneficial for it to act as an energy seller, what size battery to deploy, as well as the robustness of our offline deterministic policy to estimation errors.
机译:在本文中,我们将重点放在移动网络的能源管理策略上,该移动网络具有电池存储容量和本地能源生产功能,并由智能电网供电。在每个时刻,移动网络运营商都必须根据自己的能源资源或智能电网的资源来决定是否运营其网络,同时还可能向智能电网出售能源。我们使用马尔可夫决策过程来公式化我们的问题,并使用动态规划算法来得出最优的离线策略,该策略将运营商的能源费用降至最低。通过与通过线性规划获得的解进行数值比较,我们证明了解的最优性。我们的数值应用程序使我们可以进一步了解运营商何时有购买动力的动机,充当能源销售商是否有好处,部署什么尺寸的电池以及离线确定性政策对估计误差的鲁棒性。

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