Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started
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 allow...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/24/8274 |
| _version_ | 1797505129398665216 |
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| author | Mirko Ginocchi Ferdinanda Ponci Antonello Monti |
| author_facet | Mirko Ginocchi Ferdinanda Ponci Antonello Monti |
| author_sort | Mirko Ginocchi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T04:14:12Z |
| format | Article |
| id | doaj.art-938b1a31f05e4a3a8cff7c13ea120968 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:14:12Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-938b1a31f05e4a3a8cff7c13ea1209682023-11-23T08:04:59ZengMDPI AGEnergies1996-10732021-12-011424827410.3390/en14248274Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting StartedMirko Ginocchi0Ferdinanda Ponci1Antonello Monti2E.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, 52074 Aachen, GermanyE.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, 52074 Aachen, GermanyE.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, 52074 Aachen, GermanyPower 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.https://www.mdpi.com/1996-1073/14/24/8274sensitivity analysisglobal sensitivity analysislocal sensitivity analysisvariance-based sensitivity analysisuncertainty analysisMonte Carlo simulation |
| spellingShingle | Mirko Ginocchi Ferdinanda Ponci Antonello Monti Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started Energies sensitivity analysis global sensitivity analysis local sensitivity analysis variance-based sensitivity analysis uncertainty analysis Monte Carlo simulation |
| title | Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started |
| title_full | Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started |
| title_fullStr | Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started |
| title_full_unstemmed | Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started |
| title_short | Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started |
| title_sort | sensitivity analysis and power systems can we bridge the gap a review and a guide to getting started |
| topic | sensitivity analysis global sensitivity analysis local sensitivity analysis variance-based sensitivity analysis uncertainty analysis Monte Carlo simulation |
| url | https://www.mdpi.com/1996-1073/14/24/8274 |
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