Probabilistic power flow calculation based on Faure sequence with wind farms

With large-scale integration of wind farms into power system, the wind power uncertainty is necessary to be taken into consideration when probabilistic power flow calculation is carried out. Traditional Monte Carlo simulation method requires thousands of stochastic simulation times which needs much time in order to obtain a reasonable simulation result. Faure sequence method which has equidistributed sample values is used to improve the sample values coverage of random variables input space. Then this method is used to the probabilistic power flow calculation of power system including wind farms. The accuracy and validity of proposed method are tested on IEEE 30 bus system and IEEE 118 bus system. The simulation results show that the Faure sequence method has the advantages of fast computation and high accuracy and it can estimate the probability distribution of the output random variables and deal with the uncertainties in power system.