Proactive Guidance for Dynamic and Cooperative Resource Allocation under Uncertainties

Gerrit Anders, Florian Siefert, M. Mair, W. Reif
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引用次数: 6

Abstract

In many technical systems, such as smart grids, the central issue is to enable multiple devices to solve a resource allocation problem in a cooperative manner. If the devices' ability to change their contribution is subject to inertia, the problem has to be solved proactively. This means that the allocation of resources is scheduled beforehand, based on predictions of the future demand. Because of the scheduling problem's complexity, schedules should be created rather sporadically for a coarse-grained time pattern. However, because the resource allocation problem has to be solved for all time steps and the demand and provision of resources is uncertain, devices have to reactively adapt their contributions according to the current circumstances. In this paper, we present a mechanism that allows the participants to incorporate the information of proactively created schedules in their reactive decisions in order to steer the system in a stable and efficient way. In particular, the decisions are guided by schedules that already include information about possible uncertainties. While this combination avoids inertia based problems, it significantly reduces the computational costs of searching for high quality solutions. Throughout the paper, the problem of maintaining the balance between energy production and consumption in decentralized autonomous power management systems serves to illustrate our algorithm and results.
不确定条件下资源动态协同配置的主动引导
在许多技术系统中,如智能电网,核心问题是使多个设备以合作的方式解决资源分配问题。如果设备改变其贡献的能力受制于惯性,则必须主动解决问题。这意味着资源的分配是预先安排的,基于对未来需求的预测。由于调度问题的复杂性,应该为粗粒度的时间模式零星地创建调度。但是,由于所有时间步骤都需要解决资源分配问题,并且资源的需求和供应是不确定的,设备必须根据当前情况反应性地调整其贡献。在本文中,我们提出了一种机制,允许参与者将主动创建的时间表信息纳入其反应性决策中,从而以稳定有效的方式引导系统。特别是,决策是由已经包含可能的不确定性信息的时间表指导的。虽然这种组合避免了基于惯性的问题,但它显著降低了搜索高质量解决方案的计算成本。在整个论文中,保持分散自治电源管理系统中能源生产和消费之间平衡的问题用于说明我们的算法和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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