Quantifying the benefits from the spatial diversification of wind power in New Zealand
Type of content
A common conclusion from wind integration studies is the beneﬁt of spatial diversiﬁcation of Wind Power Plants for power systems. However, few of these studies quantify the beneﬁt that may be apparent from different wind power portfolios. To quantify that beneﬁt, temporally and spatially accurate models of wind power are required. A wind power model is constructed starting with wind speed time-series extracted from the ECMWF-interim reanalysis model. The wind speed time-series are interpolated, scaled, and imputed such that they are representative of the wind incident on the Wind Power Plants. Imputation is performed using a Wavelet Multi-Resolution Analysis approach that ensures temporally consistent correlations while accommodating heteroskedasticity. The wind speed time-series are transformed to power by applying wind power plant power curves, low pass ﬁlters, and a Markov Chain model for operational efﬁciency. Simulated wind power time-series are validated using a set of measurements made at Wind Power Plants in New Zealand. The wind power model is used to simulate power time-series for 2 GW portfolios of wind power plants representing compact, disperse, diverse, and Business As Usual portfolios. Metrics for dependability, variability, and predictability are used to quantify the beneﬁts of spatial diversiﬁcation.