Probabilistic Stability Evaluation Based on Confidence Interval in Distribution Systems with Inverter-Based Distributed Generations
- Authors
- Lee, Moonjeong; Yoon, Myungseok; Cho, Jintae; Choi, Sungyun
- Issue Date
- 4월-2022
- Publisher
- MDPI
- Keywords
- confidence interval; probabilistic stability evaluation; voltage stability; fault analysis; distributed generation; distribution systems
- Citation
- SUSTAINABILITY, v.14, no.7
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- SUSTAINABILITY
- Volume
- 14
- Number
- 7
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/140424
- DOI
- 10.3390/su14073806
- ISSN
- 2071-1050
- Abstract
- This study proposed a probabilistic methodology based on a confidence interval with the aim of overcoming the limitations of deterministic methods. A stability evaluation technique was required because the output variability of renewable energy can lead to instability of the distribution system. The proposed method can predict the possibility of violating stability in the future. It can also provide a theoretical basis for securing distribution system stability and improving operational efficiency by assessing the in-stability risk and worst-case scenarios. Because of steady-state analysis in the distribution system to which solar power is connected, the probability of violating the standard voltage during the daytime when PV fluctuations are severe was the highest. Moreover, as a result of a simulation of a three-phase short-circuit in the distribution system that is connected to the PV and WT, it was observed that it could violate the allowable capacity of the CB owing to the effects of the power demand pattern and output variability.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.