A P2P Algorithm for Energy Saving of a Parallel-Connected Pumps System

Zhao, Qianchuan; Wang, Xuetao; Wang, Yifan; Jiang, Ziyan; Dai, Yunchuang

doi:10.1007/978-981-13-6733-5_36

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…In this paper, we consider a distributed pump system, as presented in Figure 1, and extend our previous work [29]. Compared with our previous work, the main differences can be summarized as follows: First, our work considers the controllers connected in the more general topologies and not limited in the chain topology.…”

Section: Distributed Methodsmentioning

confidence: 99%

“…When ω * i = 0, then Q i (ω * i ) = 0, we set B i = {0}. For this case, ∀ω i ∈ B i , Equations (29) and (30) still hold.…”

Section: Theoretical Analysis Of the Proposed Algorithmmentioning

confidence: 99%

“…For a given ε 1 > 0 and corresponding δ r (ε 1 ), we choose ε 2 in Equations (29) and (30) such that…”

Section: Theoretical Analysis Of the Proposed Algorithmmentioning

confidence: 99%

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A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

2020

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Motivated by the importance and challenges of the energy saving problem of parallel-connected pumps in heating, ventilation, and air-conditioning (HVAC) systems, we propose a distributed optimal control algorithm for on-off status and flow rate set points of parallel-connected pumps in HVAC systems. The proposed algorithm consists of two parts: First, in order to process the network information, we apply the breadth first search algorithm to construct a tree for exchanging messages. Second, all nodes coordinate with each other and randomly sample the speed ratios. To our best knowledge, the algorithm proposed in this paper is the first effort to address the challenges of existing studies at the same time. The algorithm solves the pump optimization problem in a distributed manner, achieves the minimum pump energy consumption and has the convergence guarantee. Even if some of the pumps break down, the whole system can still be working and have great flexibility. Simulation experiments on six parallel-connected pumps are provided for different working cases to demonstrate the effectiveness of the proposed algorithm and compare with the other four methods. The results show that our algorithm strictly satisfies the demand constraints and presents good energy saving potential, the convergence guarantee, and flexibility. The maximum energy saving can be up to 29.92%.

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Section: Distributed Methodsmentioning

confidence: 99%

“…When ω * i = 0, then Q i (ω * i ) = 0, we set B i = {0}. For this case, ∀ω i ∈ B i , Equations (29) and (30) still hold.…”

Section: Theoretical Analysis Of the Proposed Algorithmmentioning

confidence: 99%

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A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

2020

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“…Yu et al [31] presented a distributed control structure for parallel pumps 2 Scientific Programming in which the main controller is replaced by several independent distributed controllers that work together to handle global tasks. Zhao et al [32] investigated a distributed optimal control method for peer-to-peer control of parallel pumps in HVAC systems. Wang et al [33] proposed a decentralized method for optimal load distribution in an isolated power system that distributes economic load dispatching to each intelligent distributed generator without the need to monitor the host.…”

Section: Related Workmentioning

confidence: 99%

Touch: A Textual Programming Language for Developing APPs of Insect Intelligent Building

Chen¹,

Yang²,

Jiang³

et al. 2020

Scientific Programming

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Insect intelligent building (I2B) is a novel decentralized, flat-structured intelligent building platform with excellent flexibility and scalability. I2B allows users to develop applications that include control strategies for efficiently managing and controlling buildings. However, developing I2B APPs (applications) is considered a challenging and complex task due to the complex structural features and parallel computing models of the I2B platform. Existing studies have been shown to encounter difficulty in supporting a high degree of abstraction and in allowing users to define control scenarios in a concise and comprehensible way. This paper aims to facilitate the development of such applications and to reduce the programming difficulty. We propose Touch, a textual domain-specific language (DSL) that provides a high-level abstraction of I2B APPs. Specifically, we first establish the conceptual programming architecture of the I2B APP, making the application more intuitive by abstracting different levels of physical entities in I2B. Then, we present special language elements to effectively support the parallel computing model of the I2B platform and provide a formal definition of the concrete Touch syntax. We also implement supporting tools for Touch, including a development environment as well as target code generation. Finally, we present experimental results to demonstrate the effectiveness and efficiency of Touch.

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Insect Intelligent Building (I2B): A New Architecture of Building Control Systems Based on Internet of Things (IoT)

Zhao

Jiang

2019

Advances in Intelligent Systems and Computing

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A P2P Algorithm for Energy Saving of a Parallel-Connected Pumps System

Cited by 3 publications

References 12 publications

A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

Touch: A Textual Programming Language for Developing APPs of Insect Intelligent Building

Insect Intelligent Building (I2B): A New Architecture of Building Control Systems Based on Internet of Things (IoT)

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