Content area

Abstract

The symmetry of renewable generations (RGs) and synchronous generations (SGs) is jeopardized by the increase in the penetration RGs, which threatens the secure operation of power systems. Moreover, the control mode transition of RGs during the frequency regulation (FR) process complicates system frequency behaviors. Hence, it is supposed to design a frequency stability constrained unit commitment (FSCUC) model to satisfy the inertia requirements. First, dynamic frequency behaviors are characterized while considering the control mode transition of RGs. Subsequently, the frequency predictive model is developed through a Zero-Order Hold (ZOH) discretization technique. Next, the frequency predictive model is embedded into a stochastic unit commitment (UC). Moreover, a progressive inertia increment (PII)-based solution algorithm is designed to reduce the computational burden. Finally, numerical experiments are conducted in IEEE 24-bus and 118-bus systems to validate the effectiveness of the proposed method. The simulation results show that the frequency stability indices can be improved by 30% by increasing the system inertia by 43% at least with the additional costs of only 0.66%, when compared with existing methods.

Details

1009240
Title
Frequency Stability Constrained Unit Commitment Considering Control Mode Transition of Renewable Generations
Publication title
Symmetry; Basel
Volume
17
Issue
5
First page
752
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20738994
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-05-13
Milestone dates
2025-04-14 (Received); 2025-05-12 (Accepted)
Publication history
 
 
   First posting date
13 May 2025
ProQuest document ID
3212135068
Document URL
https://www.proquest.com/scholarly-journals/frequency-stability-constrained-unit-commitment/docview/3212135068/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-05-27
Database
ProQuest One Academic