Novel Power System Harmonic Component Prediction Based on Least Squares Support Vector Machine
Power electronic equipment is widely used in various fields of power generation,transmission,distribu-tion and use.While improving the quality of life of residents and enhancing the efficiency of industrial production,it also introduce a large amount of harmonic content,resulting in power system harmonic pollution.The power system has different harmonic contents at different sampling points,and the least squares support vector machine(LSSVM),which has the advantages of high prediction accuracy and high prediction efficiency,can be applied to the harmonic content prediction.In order to verify the algorithm proposed in this study,a simulation model is con-structed to predict the harmonic content of the currents at the charging and discharging points of photovoltaic power generation system,wind power generation system,and energy storage device.The simulation results show that the algorithm has high prediction accuracy under different operating conditions and different types of har-monic contents.
new power systemharmonic contentprediction algorithmleast squares support vector machine(LSSVM)
NETL
NSTL
万方数据
