A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration
The penetration level of renewable generation has increased significantly in recent years, which has led to operational concerns associated with the system ramping capability. Here, we propose the flexible ramping capacity (FRC) model, which considers the practical ramping capability of generation r...
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doaj-d63934678e3d485abe0a5f24fe1f2c242020-11-24T23:47:26ZengMDPI AGEnergies1996-10732016-12-01912104010.3390/en9121040en9121040A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy PenetrationHungyu Kwon0Jong-Keun Park1Dam Kim2Jihyun Yi3Hyeongon Park4Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaDepartment of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaDepartment of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaDepartment of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaDepartment of Statistics Institute of Engineering Research, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaThe penetration level of renewable generation has increased significantly in recent years, which has led to operational concerns associated with the system ramping capability. Here, we propose the flexible ramping capacity (FRC) model, which considers the practical ramping capability of generation resources as well as the uncertainty in net load. The FRC model also incorporates the demand curve of the ramping capacity, which represents the hourly economic value of the ramping capacity. The model is formulated mathematically using ramp constraints, which are incorporated into unit commitment (UC) and economic dispatch (ED) processes. Simulations are carried out using a 10-unit system to compare the FRC model with conventional methods. We show that the FRC method can improve reliability and reduce expected operating costs. The simulation results also show that, by using the FRC model, system reliability can be satisfied at high wind power generation levels while achieving economic efficiency.http://www.mdpi.com/1996-1073/9/12/1040renewable generationflexible ramping capacityvariabilityuncertaintydemand curve |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hungyu Kwon Jong-Keun Park Dam Kim Jihyun Yi Hyeongon Park |
spellingShingle |
Hungyu Kwon Jong-Keun Park Dam Kim Jihyun Yi Hyeongon Park A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration Energies renewable generation flexible ramping capacity variability uncertainty demand curve |
author_facet |
Hungyu Kwon Jong-Keun Park Dam Kim Jihyun Yi Hyeongon Park |
author_sort |
Hungyu Kwon |
title |
A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration |
title_short |
A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration |
title_full |
A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration |
title_fullStr |
A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration |
title_full_unstemmed |
A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration |
title_sort |
flexible ramping capacity model for generation scheduling with high levels of wind energy penetration |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2016-12-01 |
description |
The penetration level of renewable generation has increased significantly in recent years, which has led to operational concerns associated with the system ramping capability. Here, we propose the flexible ramping capacity (FRC) model, which considers the practical ramping capability of generation resources as well as the uncertainty in net load. The FRC model also incorporates the demand curve of the ramping capacity, which represents the hourly economic value of the ramping capacity. The model is formulated mathematically using ramp constraints, which are incorporated into unit commitment (UC) and economic dispatch (ED) processes. Simulations are carried out using a 10-unit system to compare the FRC model with conventional methods. We show that the FRC method can improve reliability and reduce expected operating costs. The simulation results also show that, by using the FRC model, system reliability can be satisfied at high wind power generation levels while achieving economic efficiency. |
topic |
renewable generation flexible ramping capacity variability uncertainty demand curve |
url |
http://www.mdpi.com/1996-1073/9/12/1040 |
work_keys_str_mv |
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