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基于遗传算法的飞轮储能电机多工况效率优化

朱迪 赵杨阳 艾邓鑫 张利 周咏

储能科学与技术2024,Vol.13Issue(10):3582-3592,11.
储能科学与技术2024,Vol.13Issue(10):3582-3592,11.DOI:10.19799/j.cnki.2095-4239.2024.0249

基于遗传算法的飞轮储能电机多工况效率优化

Efficiency optimization of PMSM in flywheel energy storage under multiple working conditions based on genetic algorithm

朱迪 1赵杨阳 1艾邓鑫 2张利 2周咏1

作者信息

  • 1. 国网(苏州)城市能源研究院,江苏 苏州 215000
  • 2. 国网天津市电力公司,天津 300010
  • 折叠

摘要

Abstract

The heat pump system's high electric heating conversion efficiency,convenient motor speed control,and strong flexibility makes it an effective solution for integrating thermal power systems in electrothermal coupling applications.When equipped with a high-speed flywheel motor,the electrothermal coupling heat pump system benefits from large inertia and long delay characteristics and has enhanced support for coordinated electrothermal operations.However,existing flywheel energy storage motors are mostly optimized based on the rated working points,and it is difficult to achieve an optimal comprehensive efficiency during the entire working cycle.Therefore,based on the actual working scenario of electric heating cooperation,this study obtained the changes in theoperating conditions of the flywheel motor under a single complete working cycle and proposed a multi-operating efficiency optimization method for the flywheel motor based on a genetic algorithm.First,an efficiency calculation model for a high-speed motor was established,and the speed curve of a flywheel motor under a single operation was calculated based on the running scene of a heat pump.Second,the variables to be optimized were determined,and the parameters with lower degrees of correlation were removed using parameter sensitivity variables to reduce the amount of computation.A comprehensive efficiency index of the motor was proposed based on actual working conditions to quantify the efficiency of the motor over the entire working cycle.Finally,the optimal working point was obtained using a genetic algorithm.After optimization,the overall efficiency increased by 0.34%,the motor efficiency improved within the full speed range,and the energy loss in a single working cycle decreased by 38.7 kJ,which is 14.8% lower than that before optimization.The optimization results showed that the proposed method could improve the operating efficiency of the flywheel motor during the entire working cycle,reduce the energy loss during heat pump operation,and enhance the efficiency of the flywheel energy storage system.

关键词

电热协同/电热耦合/高速永磁同步电机/多工况效率优化/遗传算法/损耗计算

Key words

electrothermal coordination/electrothermal coupling/high speed permanent magnet synchronous motor/efficiency optimization in multi-operating conditions/genetic algorithm/loss calculation

分类

信息技术与安全科学

引用本文复制引用

朱迪,赵杨阳,艾邓鑫,张利,周咏..基于遗传算法的飞轮储能电机多工况效率优化[J].储能科学与技术,2024,13(10):3582-3592,11.

基金项目

国家电网有限公司科技项目(1400-202312333A-1-1-ZN). (1400-202312333A-1-1-ZN)

储能科学与技术

OA北大核心CSTPCD

2095-4239

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