Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand

Kiti Suomalainen, Geoffrey Pritchard, Basil Sharp, Ziqi Yuan and Golbon Zakeri

Applied Energy, 2015, vol. 137, issue C, 445-462

Abstract: In this paper we study the spatial and temporal distribution of the wind and hydro resources, together with electricity demand and prices, with the objective to gain insights on the trade-offs of developing wind power in different parts of the country. It is particularly important to understand the impacts of a high penetration level of wind power on an electricity market that is already highly influenced by seasonal hydro power availability. The correlation between the seasonal patterns of wind, hydro, demand and prices has received little attention in the literature. In our approach, we separate daily deviations from the expected seasonal value, and show that for some locations it is the anomalies that have a more significant correlation with electricity prices than the seasonal patterns themselves. This indicates that the correlation results for anomalies from different wind sites can give valuable information on wind resource availability in critical periods of the year, such as dry seasons, and thereby enables identifying sites that can most optimally balance price volatility during these periods while potentially also maximising profits to investors. Even though the numerical results pertain to New Zealand, our methodology is applicable to any electricity system that utilises wind and hydro resources such as Chile, Colombia and several North American and Northern European jurisdictions.

Keywords: Correlation analysis; Fourier regression; Energy systems planning; Wind-hydro resource dynamics (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (24)

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DOI: 10.1016/j.apenergy.2014.10.015

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