Comparing the Value of Improved Variable Renewable Energy Forecasting Accuracy in South African and United States Power Systems: Preprint

J. Wright; G. Landwehr

Comparing the Value of Improved Variable Renewable Energy Forecasting Accuracy in South African and United States Power Systems: Preprint

J. Wright, G. Landwehr

Power Systems Engineering

Council for Scientific & Industrial Research (South Africa)

Research output: Contribution to conference › Paper

Abstract

The value associated with an improved VRE forecast in has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels with the range of this value becoming wider at increasing penetration levels. 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 variable renewable energy (VRE) forecasting could impact the South African power system and a United States power system.

Original language	American English
Number of pages	12
State	Published - 2018
Event	WindAc 2018 - Capetown, South Africa Duration: 5 Nov 2018 → 6 Nov 2018

Conference

Conference	WindAc 2018
City	Capetown, South Africa
Period	5/11/18 → 6/11/18

Bibliographical note

See NREL/JA-5D00-75109 for paper as published in the Journal of Energy in Southern Africa

NREL Publication Number

NREL/CP-5D00-72593

Keywords

day-ahead
forecast
production-cost model
real-time
South Africa
uncertainty
variable renewable energy (VRE)
weather systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy19osti/72593.pdf

Cite this

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title = "Comparing the Value of Improved Variable Renewable Energy Forecasting Accuracy in South African and United States Power Systems: Preprint",

abstract = "The value associated with an improved VRE forecast in has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels with the range of this value becoming wider at increasing penetration levels. 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 variable renewable energy (VRE) forecasting could impact the South African power system and a United States power system.",

keywords = "day-ahead, forecast, production-cost model, real-time, South Africa, uncertainty, variable renewable energy (VRE), weather systems",

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

note = "See NREL/JA-5D00-75109 for paper as published in the Journal of Energy in Southern Africa; WindAc 2018 ; Conference date: 05-11-2018 Through 06-11-2018",

year = "2018",

language = "American English",

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TY - CONF

T1 - Comparing the Value of Improved Variable Renewable Energy Forecasting Accuracy in South African and United States Power Systems: Preprint

AU - Wright, J.

AU - Landwehr, G.

N1 - See NREL/JA-5D00-75109 for paper as published in the Journal of Energy in Southern Africa

PY - 2018

Y1 - 2018

N2 - The value associated with an improved VRE forecast in has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels with the range of this value becoming wider at increasing penetration levels. 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 variable renewable energy (VRE) forecasting could impact the South African power system and a United States power system.

AB - The value associated with an improved VRE forecast in has been quantified in this research. The value of improved VRE forecasts can increase with increasing VRE penetration levels with the range of this value becoming wider at increasing penetration levels. 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 variable renewable energy (VRE) forecasting could impact the South African power system and a United States power system.

KW - day-ahead

KW - forecast

KW - production-cost model

KW - real-time

KW - South Africa

KW - uncertainty

KW - variable renewable energy (VRE)

KW - weather systems

M3 - Paper

T2 - WindAc 2018

Y2 - 5 November 2018 through 6 November 2018

ER -

Comparing the Value of Improved Variable Renewable Energy Forecasting Accuracy in South African and United States Power Systems: Preprint

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this