Assessing the Value of Improved Variable Renewable Energy Forecasting Accuracy in the South African Power System

J. Wright; G. Landwehr

doi:10.17159/2413-3051/2019/v30i2a6293

Assessing the Value of Improved Variable Renewable Energy Forecasting Accuracy in the South African Power System

J. Wright, G. Landwehr

Power Systems Engineering

Council for Scientific & Industrial Research (South Africa)

Research output: Contribution to journal › Article › peer-review

2 Scopus Citations

Abstract

The value associated with an improved variable renewable energy (VRE) forecast has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels as well as the range of this value becoming wider. This value also saturates with high levels of improved VRE forecasts as there is relatively lower impact of improving VRE forecasts further. This paper discusses how the improvement of VRE forecasting could impact the South African power system and representative United States power system jurisdictions.

Original language	American English
Pages (from-to)	98-109
Number of pages	12
Journal	Journal of Energy in Southern Africa
Volume	30
Issue number	2
DOIs	https://doi.org/10.17159/2413-3051/2019/v30i2a6293
State	Published - 2019

Bibliographical note

See NREL/CP-5D00-72593 for related preprint

NREL Publication Number

NREL/JA-5D00-75109

Keywords

day-ahead
forecast
production-cost model
real-time
uncertainty
weather systems

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10.17159/2413-3051/2019/v30i2a6293

https://www.nrel.gov/docs/fy19osti/75109.pdf

Cite this

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title = "Assessing the Value of Improved Variable Renewable Energy Forecasting Accuracy in the South African Power System",

abstract = "The value associated with an improved variable renewable energy (VRE) forecast has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels as well as the range of this value becoming wider. This value also saturates with high levels of improved VRE forecasts as there is relatively lower impact of improving VRE forecasts further. This paper discusses how the improvement of VRE forecasting could impact the South African power system and representative United States power system jurisdictions.",

keywords = "day-ahead, forecast, production-cost model, real-time, uncertainty, weather systems",

author = "J. Wright and G. Landwehr",

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language = "American English",

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N1 - See NREL/CP-5D00-72593 for related preprint

PY - 2019

Y1 - 2019

N2 - The value associated with an improved variable renewable energy (VRE) forecast has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels as well as the range of this value becoming wider. This value also saturates with high levels of improved VRE forecasts as there is relatively lower impact of improving VRE forecasts further. This paper discusses how the improvement of VRE forecasting could impact the South African power system and representative United States power system jurisdictions.

AB - The value associated with an improved variable renewable energy (VRE) forecast has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels as well as the range of this value becoming wider. This value also saturates with high levels of improved VRE forecasts as there is relatively lower impact of improving VRE forecasts further. This paper discusses how the improvement of VRE forecasting could impact the South African power system and representative United States power system jurisdictions.

KW - day-ahead

KW - forecast

KW - production-cost model

KW - real-time

KW - uncertainty

KW - weather systems

U2 - 10.17159/2413-3051/2019/v30i2a6293

DO - 10.17159/2413-3051/2019/v30i2a6293

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ER -

Assessing the Value of Improved Variable Renewable Energy Forecasting Accuracy in the South African Power System

Abstract

Bibliographical note

NREL Publication Number

Keywords

Access to Document

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Cite this