Improved LHS probabilistic harmonic current algorithm based on EV parameter stochasticity
With the continuous promotion of national low-carbon,energy-saving and emission reduction policies,electric vehicles,due to their energy-saving and environmentally friendly characteristics,have been supported by the policy to develop rapidly in recent years,and the harmonic problems of the power system have become more prominent.To address this problem,an improved power system harmonic current calculation method combining Latin hypercubic sampling and maximum entropy is proposed.By analysing the measured data,the time-varying characteristics are taken into account to more accurately describe the coupling relationship between the harmonics;The correlation coefficient matrix between the input random variables is constructed and a Latin hypercubic sampling method based on the Nataf transform is used to calculate the probabilistic tidal current.The probability distributions of the output variables are obtained based on the maximum entropy distribution.The computational accuracy and probability density function fitting effect of the proposed algorithm are verified through simulation analysis and comparison with traditional algorithms in different scenarios.
万方数据
维普
