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

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...

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Bibliographic Details
Published in:Sustainability 2022-04, Vol.14 (7), p.3806
Main Authors: Lee, Moonjeong, Yoon, Myungseok, Cho, Jintae, Choi, Sungyun
Format: Article
Language:English
Subjects:
Alternative energy sources
Buses
Case studies
Confidence intervals
Distributed generation
Efficiency
Evaluation
Methods
Monte Carlo simulation
Photovoltaic cells
Renewable resources
Short circuits
Solar power
Stability analysis
Statistical analysis
Sustainability
Systems stability
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su14073806