arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1610.06332math.OC
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建筑区域供冷的能量管理:一种分布式的资源共享方法

Energy management for building district cooling: a distributed approach to resource sharing

Fabio Belluschi, Alessandro Falsone, Daniele Ioli, Kostas Margellos, Simone Garatti, Maria Prandini

摘要:

本文讨论了一个地区的能源管理,多个建筑物可以通过时变网络进行通信,旨在优化存储系统等共享资源的使用。我们专注于建筑物冷却,并提出了一种迭代的分布式算法,该算法考虑了信息隐私,因为建筑物不需要公开有关其个人效用函数和约束集编码的信息,例如,他们的消费概况,并克服了集中式管理模式所带来的通信和计算挑战。我们的方法依赖于最近出现在文献中的近端最小化的基础上的方法。所考虑的能源管理优化方案的结构的动机,我们提供了这种新的方法,这是适用于任何问题,表现出这样的结构特性的理论扩展。所得到的能量管理算法的功效说明了通过一个详细的模拟为基础的研究,考虑不同的网络拓扑结构。

英文摘要:

This paper deals with energy management in a district where multiple buildings can communicate over a time-varying network and aim at optimizing the use of shared resources like storage systems. We focus on building cooling, and propose an iterative, distributed algorithm that accounts for information privacy, since buildings are not required to disclose information about their individual utility functions and constraint sets encoding, e.g., their consumption profiles, and overcomes the communication and computational challenges imposed by centralized management paradigms. Our approach relies on a methodology based on proximal minimization that has recently appeared in the literature. Motivated by the structure of the considered energy management optimization program, we provide a theoretical extension of this novel methodology, that is applicable to any problem that exhibits such structural properties. The efficacy of the resulting energy management algorithm is illustrated by means of a detailed simulation based study, considering different network topologies.

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。

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