Content area

Abstract

As we replace conventional synchronous generators with renewable energy, the frequency security of power systems is at higher risk. This calls for a more careful consideration of unit commitment (UC) and primary frequency response (PFR) reserves. This paper studies frequency-secured UC under significant wind power uncertainty. We coordinate the thermal units and wind farms to provide frequency support, wherein we optimize the variable inverter droop factors of the wind farms for higher economy. In addition, we adopt distributionally robust chance constraints (DRCCs) to handle the wind power uncertainty. To depict the frequency dynamics, we incorporate a differential-algebraic equation (DAE) with the dead band into the UC model. Notably, we apply Bernstein polynomials to derive tight inner approximation of the DAE and obtain mixed-integer linear constraints, which can be computed in off-the-shelf solvers. Case studies demonstrate the tightness and effectiveness of the proposed method in guaranteeing frequency security.

Details

1009240
Title
Frequency Stability-Constrained Unit Commitment: Tight Approximation using Bernstein Polynomials
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Jul 24, 2024
Section
Computer Science; Electrical Engineering and Systems Science; Mathematics
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-07-25
Milestone dates
2022-12-23 (Submission v1); 2024-07-24 (Submission v2)
Publication history
 
 
   First posting date
25 Jul 2024
ProQuest document ID
2758201789
Document URL
https://www.proquest.com/working-papers/frequency-stability-constrained-unit-commitment/docview/2758201789/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-07-26
Database
ProQuest One Academic