Probabilistic Stability Evaluation Based on Confidence Interval in Distribution Systems with Inverter-Based Distributed Generations

Moonjeong Lee, Myungseok Yoon, Jintae Cho and Sungyun Choi
Additional contact information
Moonjeong Lee: Korea Smart Grid Association, Seoul 05638, Korea
Myungseok Yoon: School of Electrical Engineering, Korea University, Seoul 02841, Korea
Jintae Cho: Korea Electric Power Research Institute, Daejeon 34056, Korea
Sungyun Choi: School of Electrical Engineering, Korea University, Seoul 02841, Korea

Sustainability, 2022, vol. 14, issue 7, 1-19

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.

Keywords: confidence interval; probabilistic stability evaluation; voltage stability; fault analysis; distributed generation; distribution systems (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/7/3806/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/7/3806/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:7:p:3806-:d:778051

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().