基于MFO算法的全液压压裂车功率节能匹配

doi:10.11885/j.issn.1674-5086.2017.12.14.03

西南石油大学学报(自然科学版) ›› 2019, Vol. 41 ›› Issue (2): 167-174.DOI: 10.11885/j.issn.1674-5086.2017.12.14.03

基于MFO算法的全液压压裂车功率节能匹配

杨波^1,2,3, 曹学鹏¹

1. 长安大学工程机械学院, 陕西西安 710064;
2. 新疆农业大学机电工程学院, 新疆乌鲁木齐 830052;
3. 三一重型能源装备有限公司, 北京昌平 102202

收稿日期:2017-12-14 出版日期:2019-04-10 发布日期:2019-04-10
通讯作者: 杨波,E-mail:yangbo.228@163.com
作者简介:杨波,1988年生,男,汉族,新疆奇台人,博士研究生,主要从事压裂装备功率节能匹配、液压传动与控制、机电液一体化理论与应用等方面的研究。E-mail:yangbo.228@163.com;曹学鹏,1982年生,男,汉族,山西临县人,副教授,主要从事环境适应性液压元件的性能分析与优化设计、机电液一体化理论及应用和机电液融合系统及技术研究。E-mail:caoxp2011@163.com
基金资助:
国家自然科学基金（51509006）

Energy-efficient Power Matching for Fully Hydraulic Fracturing Truck Based on MFO Algorithm

YANG Bo^1,2,3, CAO Xuepeng¹

1. School of Construction Machinery, Chang'an University, Xi'an, Shaanxi 710064, China;
2. College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China;
3. SANY Heavy Energy Machinery Co. Ltd., Changping, Beijing 102202, China

Received:2017-12-14 Online:2019-04-10 Published:2019-04-10

摘要/Abstract

摘要： 针对机械式压裂车油耗和成本较高的缺点，提出全液压压裂车概念，考虑到系统功率损失，提出使用"施工比油耗"衡量压裂车实际油耗，对全液压压裂车进行全局功率匹配，分别建立发动机万有特性、变量柱塞泵效率和整机辅助功率的数学模型，采用自适应惩罚函数法构建惩罚函数，以施工比油耗最低为优化目标建立目标函数，基于MFO算法，以压裂泵需输出的压力和流量作为优化输入参数，优化输出需启动的发动机数量、各发动机转速及其柱塞泵排量共计11个调整参数的最佳组合，结果表明，在全部工况下，全液压压裂车施工比油耗维持在4.55~9.91 L/（60 MPa·m³），且随着负载压力和排量的增加而逐渐降低；与原方案相比，新方案最高可节油35.97%，且节油率随着负载压力的增大而逐渐减小；与机械式压裂车相比，同等工况下，采用新方案的全液压压裂车最高可节油53.74%。

关键词: 压裂车, 功率匹配, 节能匹配, 优化算法, 施工比油耗

Abstract: To overcome the disadvantages of high fuel consumption and cost of mechanical fracturing truck, a fully hydraulic fracturing truck is proposed. Considering the system power loss, "work-specific fuel consumption" is proposed to evaluate the actual fuel consumption of fracturing trucks. Global power matching is performed for the fully hydraulic truck, and mathematical models for engine universal characteristics, variable piston pump efficiency, and machine auxiliary power are constructed, respectively. Penalty functions are constructed using the self-adaptive penalty function law, and the objective function is constructed based on the optimal goal of achieving the lowest work-specific fuel consumption. Based on the MFO algorithm and choosing the required output pressure and outflow rate of the fracturing pump as the optimization input parameters, the best output combination of 11 tuning parameters in total, including the number of engines required to start, the revolution speed of each engine, and its piston pump displacement can be optimized. The results show that under all operating conditions, the work-specific fuel consumption of the fully hydraulic fracturing truck is maintained at 4.55~9.91 L/(60 MPa·m³), which also decreases gradually as the loading pressure and displacement increase. Compared with the original plan, the new proposal can save up to 35.97% of fuel, and the fuel saving rate gradually decreases as the loading pressure increases. The newly proposed fully hydraulic fracturing truck can save up to 53.74% of fuel compared with a mechanical fracturing truck under the same operating conditions.

Key words: fracturing truck, power matching, energy-efficient matching, optimized algorithm, work-specific fuel consumption

中图分类号:

TE938

杨波, 曹学鹏. 基于MFO算法的全液压压裂车功率节能匹配[J]. 西南石油大学学报(自然科学版), 2019, 41(2): 167-174.

YANG Bo, CAO Xuepeng. Energy-efficient Power Matching for Fully Hydraulic Fracturing Truck Based on MFO Algorithm[J]. 西南石油大学学报(自然科学版), 2019, 41(2): 167-174.

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基于MFO算法的全液压压裂车功率节能匹配

Energy-efficient Power Matching for Fully Hydraulic Fracturing Truck Based on MFO Algorithm

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