基于预测控制的微电网SMES系统涡流损耗抑制方法

摘要

针对传统PWM调制方法应用于超导磁场储能(superconducting magnetic energy storage,SMES)系统中造成的涡流损耗问题,本文提出一种基于预测控制的微电网SMES系统涡流损耗抑制方法.首先,建立了SMES系统离散域预测模型,并以VSC网测电流和母线电容电压为状态变量,推导出了SMES系统的价值函数评估方法.进而,对比了PWM调制和预测控制时直流电流谐波分布规律,并对此时超导线圈中存在的涡流损耗加以评估.最后,基于50 kW样机对SMES系统预测控制方法的可行性进行验证分析,得出高幅值谐波分量将产生高涡流损耗的一般性关系,验证了预测控制方法较PWM调制在抑制涡流损耗特性方面的优越性.%In view of the eddy current losses caused by conventional PWM modulation method applied in superconducting magnetic energy storage (SMES) system,this paper proposes a micro-grid SMES based on predictive control method for suppressing eddy current losses in system.Firstly,a discrete forecasting model for SMES system is established,based on the VSC web bus capacitor voltage and measuring current for state variables,SMES system evaluation method of value function is derived.Furthermore,when comparing PWM modulation and predictive control direct current harmonic distribution of superconducting coil in eddy current loss and is assessed.Finally,SMES based on the 50 kW prototype system predictive control method to validate the feasibility analysis,and the high-amplitude harmonic will have a high general relationship of eddy current losses,validate the superiority of the predictive control method of PWM modulation in terms of inhibition of eddy-current loss.