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