LAPSE:2019.0742
Published Article
LAPSE:2019.0742
Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource
Yu-Qing Bao, Yang Li, Beibei Wang, Minqiang Hu, Yanmin Zhou
July 26, 2019
The development of advanced metering technologies makes demand response (DR) able to provide fast response services, e.g., primary frequency control. It is recognized that DR can contribute to the primary frequency control like thermal generators. This paper proposes a day-ahead scheduling method that considers DR as a frequency control resource, so that the DR resources can be dispatched properly with other resources. In the proposed method, the objective of frequency control is realized by defining a frequency limit equation under a supposed contingency. The frequency response model is used to model the dynamics of system frequency. The nonlinear frequency limit equation is transformed to a linear arithmetic equation by piecewise linearization, so that the problem can be solved by mixed integer linear programming (MILP). Finally, the proposed method is verified on numerical examples.
Keywords
day-ahead scheduling, demand response (DR), frequency control, unit commitment
Suggested Citation
Bao YQ, Li Y, Wang B, Hu M, Zhou Y. Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource. (2019). LAPSE:2019.0742
Author Affiliations
Bao YQ: School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210042, China; School of Electrical Engineering, Southeast University, Nanjing 210096, China [ORCID]
Li Y: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Wang B: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Hu M: School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210042, China
Zhou Y: School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing 210042, China
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E82
Year
2017
Publication Date
2017-01-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en10010082, Publication Type: Journal Article
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LAPSE:2019.0742
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doi:10.3390/en10010082
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Jul 26, 2019
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CC BY 4.0
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[v1] (Original Submission)
Jul 26, 2019
 
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Jul 26, 2019
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Calvin Tsay
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