Inertia-Constrained Unit Commitment Using Net Load Pattern Generation through the DTW-based Clustering Algorithm
- Authors
- Park, SoJin; Shin, Hunyoung
- Issue Date
- 2023
- Publisher
- Korean Institute of Electrical Engineers
- Keywords
- Clustering; Inertia; Synchronous Inertial Response; Time Series K-means Method; Unit Commitment
- Citation
- Transactions of the Korean Institute of Electrical Engineers, v.72, no.9, pp 1002 - 1011
- Pages
- 10
- Journal Title
- Transactions of the Korean Institute of Electrical Engineers
- Volume
- 72
- Number
- 9
- Start Page
- 1002
- End Page
- 1011
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/32925
- DOI
- 10.5370/KIEE.2023.72.9.1002
- ISSN
- 1975-8359
2287-4364
- Abstract
- As renewable energy sources continue to increase, there is a corresponding reduction in the inertia provided by synchronous generators, leading to growing concerns on the maintenance of stable frequency. A net load expected to be in the future system, raises the challenging prospect of sustaining adequate system inertia. In this paper, we introduce an inertia-constrained unit-commitment model for the Korean power system in the year 2030. A future net load scenario is derived using a time series clustering algorithm. Through the examination of these scenarios, we find a pressing need to consider minimum inertia response requirements in power system operation. Consequently, we propose a unit-commitment model that incorporates this inertia requirement. The simulation results demonstrate that a future system needs to implement an inertial monitoring system to evaluate the level of synchronous inertial response (SIR) and enable its integration into the operation of the power grid. Copyright © The Korean Institute of Electrical Engineers.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.