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Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started
by
Monti, Antonello
, Ponci, Ferdinanda
, Ginocchi, Mirko
in
Control algorithms
/ Control theory
/ Decision making
/ global sensitivity analysis
/ local sensitivity analysis
/ Monte Carlo simulation
/ Parameter estimation
/ Sensitivity analysis
/ uncertainty analysis
/ variance-based sensitivity analysis
2021
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Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started
by
Monti, Antonello
, Ponci, Ferdinanda
, Ginocchi, Mirko
in
Control algorithms
/ Control theory
/ Decision making
/ global sensitivity analysis
/ local sensitivity analysis
/ Monte Carlo simulation
/ Parameter estimation
/ Sensitivity analysis
/ uncertainty analysis
/ variance-based sensitivity analysis
2021
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Do you wish to request the book?
Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started
by
Monti, Antonello
, Ponci, Ferdinanda
, Ginocchi, Mirko
in
Control algorithms
/ Control theory
/ Decision making
/ global sensitivity analysis
/ local sensitivity analysis
/ Monte Carlo simulation
/ Parameter estimation
/ Sensitivity analysis
/ uncertainty analysis
/ variance-based sensitivity analysis
2021
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Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started
Journal Article
Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started
2021
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Overview
Power systems are increasingly affected by various sources of uncertainty at all levels. The investigation of their effects thus becomes a critical challenge for their design and operation. Sensitivity Analysis (SA) can be instrumental for understanding the origins of system uncertainty, hence allowing for a robust and informed decision-making process under uncertainty. The SA value as a support tool for model-based inference is acknowledged; however, its potential is not fully realized yet within the power system community. This is due to an improper use of long-established SA practices, which sometimes prevent an in-depth model sensitivity investigation, as well as to partial communication between the SA community and the final users, ultimately hindering non-specialists’ awareness of the existence of effective strategies to tackle their own research questions. This paper aims at bridging the gap between SA and power systems via a threefold contribution: (i) a bibliometric study of the state-of-the-art SA to identify common practices in the power system modeling community; (ii) a getting started overview of the most widespread SA methods to support the SA user in the selection of the fittest SA method for a given power system application; (iii) a user-oriented general workflow to illustrate the implementation of SA best practices via a simple technical example.
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