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Title: Hybrid component and configuration model for combined-cycle units in unit commitment problem

Abstract

This letter proposes a novel hybrid component and configuration model for combined-cycle gas turbines (CCGTs) participating in independent system operator (ISO) markets. The proposed model overcomes the inaccuracy issues in the current configuration-based model while retaining its simple and flexible bidding framework of configuration-based models. The physical limitations - such as minimum online/offline time and ramping rates - are modeled for each component separately, and the cost is calculated with the bidding curves from the configuration modes. This hybrid mode can represent the current dominant bidding model in the unit commitment problem of ISOs while treating the individual components in CCGTs accurately. The commitment status of the individual components is mapped to the unique configuration mode of the CCGTs. The transitions from one configuration mode to another are also modeled. Finally, no additional binary variables are added, and numerical case studies demonstrate the effectiveness of this model for CCGT units in the unit commitment problem.

Authors:
 [1];  [2]; ORCiD logo [3];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. ABB Inc., Raleigh, NC (United States)
  3. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering & Computer Science
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1471660
Report Number(s):
NREL/JA-5D00-70055
Journal ID: ISSN 2196-5625
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Modern Power Systems and Clean Energy
Additional Journal Information:
Journal Volume: 6; Journal Issue: 6; Journal ID: ISSN 2196-5625
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; combined-cycle gas turbines (CCGTs); unit commitment; component-based model; configuration-based model

Citation Formats

FANG, Xin, BAI, Linquan, Li, Fangxing, and Hodge, Bri-Mathias. Hybrid component and configuration model for combined-cycle units in unit commitment problem. United States: N. p., 2018. Web. doi:10.1007/s40565-018-0409-1.
FANG, Xin, BAI, Linquan, Li, Fangxing, & Hodge, Bri-Mathias. Hybrid component and configuration model for combined-cycle units in unit commitment problem. United States. doi:10.1007/s40565-018-0409-1.
FANG, Xin, BAI, Linquan, Li, Fangxing, and Hodge, Bri-Mathias. Sat . "Hybrid component and configuration model for combined-cycle units in unit commitment problem". United States. doi:10.1007/s40565-018-0409-1. https://www.osti.gov/servlets/purl/1471660.
@article{osti_1471660,
title = {Hybrid component and configuration model for combined-cycle units in unit commitment problem},
author = {FANG, Xin and BAI, Linquan and Li, Fangxing and Hodge, Bri-Mathias},
abstractNote = {This letter proposes a novel hybrid component and configuration model for combined-cycle gas turbines (CCGTs) participating in independent system operator (ISO) markets. The proposed model overcomes the inaccuracy issues in the current configuration-based model while retaining its simple and flexible bidding framework of configuration-based models. The physical limitations - such as minimum online/offline time and ramping rates - are modeled for each component separately, and the cost is calculated with the bidding curves from the configuration modes. This hybrid mode can represent the current dominant bidding model in the unit commitment problem of ISOs while treating the individual components in CCGTs accurately. The commitment status of the individual components is mapped to the unique configuration mode of the CCGTs. The transitions from one configuration mode to another are also modeled. Finally, no additional binary variables are added, and numerical case studies demonstrate the effectiveness of this model for CCGT units in the unit commitment problem.},
doi = {10.1007/s40565-018-0409-1},
journal = {Journal of Modern Power Systems and Clean Energy},
number = 6,
volume = 6,
place = {United States},
year = {2018},
month = {5}
}

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