LAPSE:2019.0352
Published Article
LAPSE:2019.0352
A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration
Hungyu Kwon, Jong-Keun Park, Dam Kim, Jihyun Yi, Hyeongon Park
February 27, 2019
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.
Keywords
demand curve, flexible ramping capacity, renewable generation, uncertainty, variability
Suggested Citation
Kwon H, Park JK, Kim D, Yi J, Park H. A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration. (2019). LAPSE:2019.0352
Author Affiliations
Kwon H: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Park JK: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Kim D: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea [ORCID]
Yi J: Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Park H: Department of Statistics Institute of Engineering Research, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea [ORCID]
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Journal Name
Energies
Volume
9
Issue
12
Article Number
E1040
Year
2016
Publication Date
2016-12-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9121040, Publication Type: Journal Article
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LAPSE:2019.0352
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doi:10.3390/en9121040
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Feb 27, 2019
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CC BY 4.0
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Feb 27, 2019
 
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Original Submitter
Calvin Tsay
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