智能电网需求侧管理的鲁棒最坏情况分析
Robust Worst-Case Analysis of Demand-Side Management in Smart Grids
AI总结：
本文提出考虑需求变化不确定性的模型，通过鲁棒定价减少用户费用并为能源供应商提供可靠成本估计。
摘要：
需求侧管理通过平衡消费需求或整合能源生成和/或存储设备来减少智能电网的能源负载。这些技术协调能源负载以使用户最小化货币支出。然而，这些方法需要准确的能源消费资料预测，使其难以适应真实需求变化。本文提出一个现实模型，考虑这些变化的不确定性，并计算智能电网中所有用户的鲁棒价格。我们分析了此新场景中解的存在性，提出收敛的分布式算法来找到这些解，并进行考虑能源支出的仿真。我们证明该模型可以有效减少所有用户的货币支出，同时为能源供应商提供可靠生产成本估计。
英文摘要：
Demand-side management presents significant benefits in reducing the energy load in smart grids by balancing consumption demands or including energy generation and/or storage devices in the user's side. These techniques coordinate the energy load so that users minimize their monetary expenditure. However, these methods require accurate predictions in the energy consumption profiles, which make them inflexible to real demand variations. In this paper we propose a realistic model that accounts for uncertainty in these variations and calculates a robust price for all users in the smart grid. We analyze the existence of solutions for this novel scenario, propose convergent distributed algorithms to find them, and perform simulations considering energy expenditure. We show that this model can effectively reduce the monetary expenses for all users in a real-time market, while at the same time it provides a reliable production cost estimate to the energy supplier.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
