Offshore wind power outputs in multiple temporal and spatial scales

Quantitative modeling and evaluation on offshore wind power output variation characteristics are basic research for large-scale offshore wind power accessing into power grid. This paper aims to provide statistical modeling methods for evaluating power variation and smoothing effect based on the index set for offshore wind farm. An index set is proposed in this paper, which includes core indexes and fitting errors measurement indexes on power output variation to evaluate offshore wind power variation in multiple temporal and spatial scales. One-dimensional Gaussian distribution model in three different number of components are implemented to fit the probability distribution of offshore wind power output variation ratio ΔP_*. For quantifying the smoothing effects, this paper defines an evaluation index R for the curve of absolute value of offshore wind power output variation ratio |ΔP_*|, which indicates offshore wind power output variations confidence interval. The modeling methods and index set proposed in this paper contribute to realize both offshore wind power variation natural features and the interaction between offshore wind power and power grid.