A evaluation method of wind farm power prediction based on principal component analysis and entropy methods

Wind power has been the most rapid developed new energy power form in recent years, its volatility, intermittent, and randomness have serious impact on the safe operation of power grid. Therefore the accurate prediction of the wind power is an important safeguard and reference to guide the new energy power system. Based on principal component analysis (PCA) and entropy method (EM), the paper expands the traditional single evaluation index and proposes a new comprehensive evaluation index. The results of the experiment show that this index is scientific and comprehensive, and can eliminate the human factor on index weight distribution.