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Erschienen in:
2019 | OriginalPaper | Buchkapitel
A P2P Algorithm for Energy Saving of a Parallel-Connected Pumps System
verfasst von : Qianchuan Zhao, Xuetao Wang, Yifan Wang, Ziyan Jiang, Yunchuang Dai
Erschienen in: Advancements in Smart City and Intelligent Building
Verlag: Springer Singapore
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Abstract
A distributed optimal control algorithm is investigated, in this paper, to deal with the problem in a peer-to-peer (P2P) control setting for parallel pumps in heating, ventilation, and air-conditioning (HVAC) systems. Each pump is equipped with a controller and becomes an intelligent node (as a peer), and nodes are equal, self-organizing, and mutually coordinated. When the HVAC system provides the pressure difference and flow rate, each intelligent node applies the random generation of the speed ratio samples method. Then, the nodes coordinate with each other and constantly optimize the speed ratio of each pump, so that the total energy consumption of the system tends to be minimum. Simulation experiment results are provided to demonstrate the performance of the proposed algorithm.