Decentralized Optimization Algorithm for Parallel Pumps in HVAC Based on Log-Linear Model

  • Junqi YuEmail author
  • Xuegen Qian
  • Anjun Zhao
  • Shiqiang Wang
  • Qite Liu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 890)


In order to deal with the issue of lacking universality in the centralized optimization algorithm for parallel pumps, a fully decentralized optimization algorithm based on log-linear model is proposed to complete pumps group operation, consisting of many same type pumps, under the least total power consumption. Through analyzing the characteristics of distributed control system of parallel pumps and the characteristic model of pumps, the difference between centralized optimization model and distributed optimization model of pump system is explained. Introduce the probability model based on log-linear model to calculate the probability distribution on speed ratio space of each pump at each iteration and determine the operating strategy of each pump based on probability distribution at the last iteration. Finally, take a chilled water circulation system in practical project as a study to research and certify the effectiveness of the mentioned algorithm by simulate experiment. The simulation experiment shows that the algorithm can optimize the number and speed of the same type of parallel pumps.


Decentralized optimization algorithm Parallel pumps Log-linear model HVAC system 



This work is supported by National Key Research and Development Project of China No. 2017YFC0704100 (entitled New Generation Intelligent Building Platform Techniques).


  1. 1.
    Koor, F., Vassiljev, S., Koppel, T.: Optimization of pump efficiencies with different pumps characteristics working in parallel mode. Adv. Eng. Softw. 101, 69–76 (2016)CrossRefGoogle Scholar
  2. 2.
    Olszewski, F.: Genetic optimization and experimental verification of complex parallel pumping station with centrifugal pumps. Appl. Energy 178, 527–539 (2016)CrossRefGoogle Scholar
  3. 3.
    Zhang, F., Kusiak, S., Zeng, T.: Modeling and optimization of a wastewater pumping system with data-mining methods. Appl. Energy 164, 303–311 (2016)CrossRefGoogle Scholar
  4. 4.
    Viholainen, F., Tamminen, S., Ahonen, T.: Energy-efficient control strategy for variable speed-driven parallel pumping systems. Energ. Effi. 6(3), 495–509 (2013)CrossRefGoogle Scholar
  5. 5.
    Shen Qi, F.: An analysis of the optimization disaggregation algorithm in the estimation related to energy consumption of appliances in buildings. Elsevier Science Inc. (2014)Google Scholar
  6. 6.
    Dai, Y.F., Jiang, Z.S., Shen, Qi T.: A decentralized algorithm for optimal distribution in HVAC systems. Build. Environ. 95, 21–31 (2016)CrossRefGoogle Scholar
  7. 7.
    Wang, Y.F., Jang, Z.S., Xing, J.T.: Decentralized algorithm for sensors fault detection in HVAC system. J. Refrig. 37(2), 30–37 (2016)Google Scholar
  8. 8.
    Koor, M.F., Vassiljev, A.S., Koppel, T.: Optimal pump count prediction algorithm for identical pumps working in parallel mode. Procedia Eng. 70, 951–958 (2014)CrossRefGoogle Scholar
  9. 9.
    Zhang, X.F., Liu, J.S., You, Z.T.: Study on the influence of distribution lines to parallel inverter systems adopting the droop control method. J. Power Electron. 13(4), 701–711 (2013)CrossRefGoogle Scholar
  10. 10.
    Reardon, L.F.: Particle swarm optimization algorithms with decreasing inertia weight based on gaussian function. Appl. Res. Comput. 29(10), 3710–3712 (2012)Google Scholar
  11. 11.
    Werfel, J.F., Petersen, K.S., Nagpal, T.: Designing collective behavior in a termite-inspired robot construction team. Science 343(6172), 754–758 (2014)CrossRefGoogle Scholar
  12. 12.
    Luan, X.F., Li, Z.S., Liu, T.T.: A novel attribute reduction algorithm based on rough set and improved artificial fish swarm algorithm. Neurocomputing 174, 522–529 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Junqi Yu
    • 1
    Email author
  • Xuegen Qian
    • 1
  • Anjun Zhao
    • 1
  • Shiqiang Wang
    • 2
  • Qite Liu
    • 1
  1. 1.School of Information and Control EngineeringXi’an University of Architecture and TechnologyXi’anChina
  2. 2.School of Defense EngineeringArmy Engineering University of PLANanjingChina

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