Open Access

ARTICLE

Application of high-dimensional multi-objective differential evolutionary algorithm based on global ordering to heat supply pipe network resistance identification

Enze Zhou¹, Y. Yang¹, Junli Yu¹, Zhuangkuo Liu¹, Wenxiao Xu², Mingyu Xiang¹

1 College of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, Shandong, China, 266520
2 Diehl Metering (Jinan) Co. Ltd, 250000 Jinan, Shandong, China, 250000

* Corresponding Authors: Enze Zhou (), Y. Yang (), Junli Yu ()

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 2024, 40(2), 1-8. https://doi.org/10.23967/j.rimni.2024.04.001

Received 14 December 2023; Accepted 15 April 2024; Issue published 22 April 2024

Abstract

The distribution of resistance coefficients of heat supply pipe networks is the key data guiding the hydraulic balance adjustment of heat networks. Since the heat supply pipe network is composed of many pipe segments and the resistance coefficient of each pipe segment is different during heat supply operation, the identification of the resistance coefficient of the heat supply pipe network is an optimization problem with multiple objective functions. In this paper, a high-dimensional multi-objective differential evolutionary algorithm based on global sorting is developed as a method to identify the resistance coefficients of the heat network and the multi-objective algorithm is applied to the resistance identification of the heat network, and the computational process of resistance identification is improved. The fuzzy mathematical method is applied to the process of resistance identification, and a set of optimal solution sets are generated through the identification of each pipe segment and the optimal solutions are selected from the optimal solution sets based on the fuzzy degree of subordination to solve the problem of determining the optimal solutions. The problem of determining the optimal solution is solved. The results show that compared with the single-objective algorithm, the high-dimensional multi-objective differential evolutionary algorithm based on global sorting produces a uniform and concentrated optimal solution set, and the optimal solution accuracy is higher.

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Keywords

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