A Computational Framework for Quantifying and Analyzing System Flexibility
Joshua L. Pulsipher, Daniel Rios, and Victor M. Zavala

TL;DR
This paper introduces a computational framework that quantifies and analyzes system flexibility, enabling detailed assessment of complex systems like distribution networks through novel features and procedures.
Contribution
It presents new methods for uncertainty characterization, computing nominal points, and ranking constraints to evaluate system flexibility.
Findings
Effective analysis of distribution network flexibility
New procedures for uncertainty and constraint ranking
Enhanced understanding of system critical parameters
Abstract
We present a computational framework for analyzing and quantifying system flexibility. Our framework incorporates new features that include: general uncertainty characterizations that are constructed using composition of sets, procedures for computing well-centered nominal points, and a procedure for identifying and ranking flexibility-limiting constraints and critical parameter values. These capabilities allow us to analyze the flexibility of complex systems such as distribution networks.
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