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Effect of Endogenous Failure Events on the Survivability of Turboelectric Distributed Propulsion System

Semantic Scholar · Article (IEEE transactions on industry applications) · 9cfce6ea40a2a7f3beda43bac78d5ee008aa320d · Published 2022-01-01 · IEEE transactions on industry applications · 4 authors

Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and IEEE transactions on industry applications.

Abstract

Recent advancements in aircraft electrification have led to the introduction of turboelectric distributed propulsion (TeDP). For instance, NASA's N3X airplane aims to curb jet fuel emissions with the aid of TeDP. However, it is crucial to analyze the survivability of the TeDP system during extreme conditions. The endogenous failure events are of specific interest as they were found to cause a significant number of accidents for commercial aircraft. While the distribution reconfiguration is necessary to meet the critical load demands under extreme failure events, it can also create a transient overload condition in the turboshaft engine. The power system survivability is further deteriorated in the presence of constant power loads. In this article, a mathematical analysis of the survivability of the system is presented to make the aircraft power system highly resilient to endogenous failure events. A power system collapse mitigation strategy is proposed by adding an energy storage system. Moreover, the analytical expressions are formulated to size the energy storage unit to prevent the system collapse. Various failure conditions are modeled using PSCAD/EMTDC to study the minimum energy storage required to prevent system collapse.

Authors

  • Balaji Guddanti
  • Jongchan Choi
  • M. Illindala
  • Rajarshi Roychowdhury

Keywords

  • Engineering
  • Environmental Science

Citation

Balaji Guddanti, Jongchan Choi, M. Illindala , et al. (2022). Effect of Endogenous Failure Events on the Survivability of Turboelectric Distributed Propulsion System. IEEE transactions on industry applications. Semantic Scholar ID 9cfce6ea40a2a7f3beda43bac78d5ee008aa320d. https://doi.org/10.1109/TIA.2021.3124739 ↗