Sensitivity analysis of hybrid microgrids with application to deployed military units

Abstract

We introduce a framework for applying sensitivity analysis to a set of potential hybrid microgrid design options, from which a decision maker can select the most preferred one. In contrast to optimization‐centric models that define an objective and produce a single solution, our goal is to empower the decision maker by providing both a range of options and accessible information that enables the decision maker to easily assess their relative upsides and downsides. Moreover, our decoupled approach allows our framework to be paired with any existing model capable of generating a set of potential hybrid microgrid designs. We introduce metrics for computing risk, stemming from power deficits, over a variety of scenarios relating to weather conditions, power demand fluctuations, and extended time horizons. These factors which are inherently uncertain are all important in military operational contexts. By introducing a design of experiments method for sensitivity analysis, we are able to implement parallel processing and maintain computational tractability.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 29, 2023
Source ID
10.1002/nav.22130

Entities

People

  • Daniel Reich
  • Susan M. Sanchez

Organizations

  • Naval Postgraduate School
  • Office of Naval Research

Tags

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Life Cycle Cost Analysis
  • Strategic Security Studies