Benefits of forecasting and energy storage in isolated grids with large wind penetration – The case of Sao Vicente
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For electric grids that rely primarily on liquid fuel based power generation for energy provision, e.g. one or more diesel gensets, measures to allow a larger fraction of intermittent sources can pay-off since the displaced is high cost diesel powered generation. This paper presents a case study of Sao Vicente, located in Cape Verde where a particularly high fraction of wind capacity of 5.950ï¿½MW (75% of the average demand) is installed, with diesel gensets forming the dispatchable source of power. This high penetration of intermittent power is managed through conservative forecasting and curtailments. Two potential approaches to reduce curtailments are examined in this paper: 1) an improved wind speed forecasting using a rolling horizon ARIMA model; and 2) energy storage. This case study shows that combining renewable energy forecasting and energy storage is a promising solution which enhances diesel fuel savings as well as enables the isolated grid to further increase the annual renewable energy penetration from the current 30.4% up to 38% while reducing grid unreliability. In general, since renewable energy forecasting ensures more accurate scheduling and energy storage absorbs scheduling error, this solution is applicable to any small size isolated power grid with large renewable energy penetration.
Monte Carlo simulation
Wind speed forecasting
Monte Carlo methods
Large wind penetrations
Renewable energy penetrations
Wind speed forecasting
Electric power transmission networks
Monte Carlo analysis
Cape Verde [Macaronesia]
Sao Vicente [Cape Verde]
Embargo Lift Date2019-05-01
Published Version (Please cite this version)http://dx.doi.org/10.1016/j.renene.2016.12.061
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