多分区建筑集中空调系统的多智能体控制

Jie Cai, Donghun Kim, V. Putta, J. Braun, Jianghai Hu
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引用次数: 21

摘要

在复杂空调系统中,由于存在大量优化变量,对不同部件进行协调是集中控制的一大挑战。在这种情况下,去中心化控制是更合适的选择。针对多区域商业建筑中典型的集中式空调系统,提出了一种多智能体控制方法。提出了一种分层的多智能体框架,在该框架中,智能体相互协作寻找最优工作点。针对这类问题,提出了两种基于共识的分布式优化算法,形成了智能体内部优化和智能体间合作的底层机制。最后,通过一个三区构建的案例研究来验证该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-agent control for centralized air conditioning systems serving multi-zone buildings
Coordinating different components in a complex air conditioning system is challenging for centralized controls due to the large number of optimization variables. In this scenario, de-centralized controls are more appropriate alternatives. This study proposes a multi-agent control methodology for the optimal control of centralized air conditioning systems that are typically adopted in multi-zone commercial buildings. A hierarchical multi-agent framework is developed in which the agents cooperate to find the optimal operating point. Two consensus-based distributed optimization algorithms are formulated for this specific type of problem, which form the underlying mechanism of intra-agent optimization and inter-agent cooperation. Finally, a 3-zone building case study is used to demonstrate the performance of the proposed approach.
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