Details
| Original language | English |
|---|---|
| Title of host publication | ETG Kongress 2025; Voller Energie – heute und morgen |
| Pages | 167-173 |
| Number of pages | 7 |
| Publication status | Published - 1 May 2025 |
Abstract
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ETG Kongress 2025; Voller Energie – heute und morgen. 2025. p. 167-173.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Subset Simulation as an Advanced Monte Carlo Method for Analyzing the Small Signal Stability of Electric Power Systems Under Consideration of Uncertainties
AU - Wieckhorst, Lukas
AU - Hofmann, Lutz
PY - 2025/5/1
Y1 - 2025/5/1
N2 - Monte Carlo simulations are used in power system stability analysis to account for random uncertainties in the systems. A limitation of the method is the identification of rare failure events due to the required sample size. If the sample size is too small, rare failures may remain undetected and the stability of the system may be misjudged. However, if the sample size is too large, the computational time can increase disproportionately, making the simulation inefficient. Subset simu-lation is an advanced Monte Carlo method that addresses these disadvantages by introducing intermediate failure events and using so-called conditional samples, leading to reliable and efficient simulations. The method is used widely in the field of mechanical and civil engineering, but barely known in the field of electric power engineering. Therefore, this paper introduces the Subset simulation to the small signal stability analysis of electric power systems.
AB - Monte Carlo simulations are used in power system stability analysis to account for random uncertainties in the systems. A limitation of the method is the identification of rare failure events due to the required sample size. If the sample size is too small, rare failures may remain undetected and the stability of the system may be misjudged. However, if the sample size is too large, the computational time can increase disproportionately, making the simulation inefficient. Subset simu-lation is an advanced Monte Carlo method that addresses these disadvantages by introducing intermediate failure events and using so-called conditional samples, leading to reliable and efficient simulations. The method is used widely in the field of mechanical and civil engineering, but barely known in the field of electric power engineering. Therefore, this paper introduces the Subset simulation to the small signal stability analysis of electric power systems.
UR - https://www.vde-verlag.de/proceedings-de/456494027.html
M3 - Conference contribution
SP - 167
EP - 173
BT - ETG Kongress 2025; Voller Energie – heute und morgen
ER -