Publications

BOOST: Microgrid Sizing Using Ordinal Optimization

M. Chehade, S. Karaki

2025 IEEE Texas Power and Energy Conference (TPEC), pp. 1–4, Feb. 2025

A microgrid sizing study using ordinal optimization to search design alternatives efficiently.

rank keep top pick best Candidates microgrid sizings Crude ranking cheap model, by order Exact evaluation only the top Good-enough design with high probability
Figure. Ordinal optimization ranks candidate microgrid sizings with a cheap model, then evaluates only the top exactly, returning a good-enough design with high probability.

What this paper adds

  • Applies ordinal optimization to microgrid sizing.
  • Emphasizes efficient design search under engineering constraints.
  • Connects optimization methodology with energy-system planning.

Cite

@inproceedings{chehade2025boost,
  title     = {{BOOST}: Microgrid Sizing Using Ordinal Optimization},
  author    = {El Hajj Chehade, Mohamad Fares and Karaki, Sami},
  booktitle = {2025 IEEE Texas Power and Energy Conference (TPEC)},
  pages     = {1--4},
  publisher = {IEEE},
  year      = {2025},
  doi       = {10.1109/TPEC63981.2025.10907217}
}