| Title |
Inertia-Constrained Unit Commitment Using Net Load Pattern Generation through the DTW-based Clustering Algorithm |
| Authors |
박소진(SoJin Park) ; 신훈영(Hunyoung Shin) |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.9.1002 |
| Keywords |
Time Series K-means Method; Clustering; Unit Commitment; Inertia; Synchronous Inertial Response |
| 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. |