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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Main Authors: Hungyu Kwon, Jong-Keun Park, Dam Kim, Jihyun Yi, Hyeongon Park
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/9/12/1040
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spelling 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
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