Reliability evaluation of wind integrated composite power system based on third-order polynomial normal transformation

To overcome the drawback that wind speed distribution is assumed in the reliability evaluation of wind farms integrated power system, the third-order polynomial normal transformation (TPNT) based non-sequential Monte Carlo simulation method, is proposed to evaluate the reliability of generation and transmission system incorporating wind farms in this paper. When historical data or distribution functions of wind speed are given, the relationship between wind speed distribution and standard normal distribution can be established with the TPNT. Then correlated wind speed samples, which are employed in the process of reliability evaluation, can be produced through TPNT and correlated normally distributed samples. The accuracy of TPNT to simulate variables and applicability of the proposed method were verified by case study. Based on that, impacts of wind farms on composite power system are studied from four aspects, including wind speed correlation, location, rate capacity and wind source intensity.