Understanding and Evaluating Systemwide Impacts of Uncertain Parameters in the Dynamic Load Model on Short-Term Voltage Stability
- Authors
- Kim, Jae-Kyeong; Lee, Byongjun; Ma, Jin; Verbic, Gregor; Nam, Suchul; Hur, Kyeon
- Issue Date
- 5월-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Load modeling; Power system stability; Uncertainty; Stability analysis; Analytical models; Power system dynamics; Trajectory; Dynamic load model; modal analysis; parametric uncertainty; short-term voltage stability; trajectory sensitivity
- Citation
- IEEE TRANSACTIONS ON POWER SYSTEMS, v.36, no.3, pp.2093 - 2102
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON POWER SYSTEMS
- Volume
- 36
- Number
- 3
- Start Page
- 2093
- End Page
- 2102
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/128068
- DOI
- 10.1109/TPWRS.2020.3027692
- ISSN
- 0885-8950
- Abstract
- This paper investigates systemwide short-term voltage stability concerns of power systems due to the multiple parametric uncertainties in the dynamic load model. The impact of regional load model uncertainty can be widespread and may mislead the whole system analysis and subsequent measures, if not properly addressed. This research discloses that the systemwide impact is related to the voltage weak areas through voltage stability modal analysis, and suggests that the impact of uncertain parameters needs to be assessed from a systems perspective, which has rarely been done in the existing practices. We thus present a three-step methodology for evaluating the systemwide uncertainty impacts: Firstly, it screens possible trajectories of all buses. The second step verifies whether the screened trajectories comply with the defined criteria, and determines the necessity of the final step. The final detailed analysis is conducted for those selected scenarios. Comprehensive studies for both the IEEE test and real Korea power systems consistently confirm the observations and demonstrate the efficacy and validity of the proposed method.
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Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
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