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On-site efficiency evaluation of three-phase induction motor based on particle swarm optimization

机译:基于粒子群算法的三相异步电动机现场效率评估

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摘要

On-site efficiency determination of induction motor is essential in industrial plants for saving the energy consumption. This paper presents a new application of particle swarm optimization (PSO) approach for field efficiency evaluation of induction motor based on a modified induction motor equivalent circuit. The stray-load loss is considered in the equivalent circuit by adding an equivalent resistor in series with the rotor circuit and its value is derived from the assumed stray-load loss recommended in IEEE Std. 112. The PSO approach uses the information about the stator current, stator voltage, input power, stator resistance and speed of the motor and determines the equivalent circuit parameters. Once these parameters are known, the efficiency of motor can be evaluated. The simulation results on a 3.75 kW motor are presented and compared with the results of torque gauge method (TGM), equivalent circuit method (ECM), slip method (SM), current method (CM) and segregated loss method (SLM). The results reveal that the proposed method can evaluate the efficiencies of motor with less than 3% error under normal load conditions. Consequently, the method can be used in motor energy management system for improving the overall energy savings in industry.
机译:在工业工厂中,感应电机的现场效率确定对于节省能耗至关重要。本文提出了一种基于改进的感应电动机等效电路的粒子群算法(PSO)在感应电动机磁场效率评估中的新应用。通过在转子电路中串联一个等效电阻器,可以在等效电路中考虑杂散损耗,其值是根据IEEE Std建议的假设杂散损耗得出的。 112. PSO方法使用有关定子电流,定子电压,输入功率,定子电阻和电动机速度的信息,并确定等效电路参数。一旦知道了这些参数,就可以评估电动机的效率。给出了在3.75 kW电动机上的仿真结果,并将其与扭矩计方法(TGM),等效电路方法(ECM),滑差方法(SM),电流方法(CM)和隔离损耗方法(SLM)的结果进行了比较。结果表明,所提出的方法可以在正常负载条件下以小于3%的误差评估电动机的效率。因此,该方法可以用于电动机能量管理系统中,以改善工业上的总体能量节省。

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