Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications
The unit commitment problem (UCP) is one of the key and fundamental concerns in the operation, monitoring, and control of power systems. Uncertainty management in a UCP has been of great interest to both operators and researchers. The uncertainties that are considered in a UCP can be classified as t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/20/6658 |
| _version_ | 1797514731776376832 |
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| author | Ying-Yi Hong Gerard Francesco DG. Apolinario |
| author_facet | Ying-Yi Hong Gerard Francesco DG. Apolinario |
| author_sort | Ying-Yi Hong |
| collection | DOAJ |
| description | The unit commitment problem (UCP) is one of the key and fundamental concerns in the operation, monitoring, and control of power systems. Uncertainty management in a UCP has been of great interest to both operators and researchers. The uncertainties that are considered in a UCP can be classified as technical (outages, forecast errors, and plugin electric vehicle (PEV) penetration), economic (electricity prices), and “epidemics, pandemics, and disasters” (techno-socio-economic). Various methods have been developed to model the uncertainties of these parameters, such as stochastic programming, probabilistic methods, chance-constrained programming (CCP), robust optimization, risk-based optimization, the hierarchical scheduling strategy, and information gap decision theory. This paper reviews methods of uncertainty management, parameter modeling, simulation tools, and test systems. |
| first_indexed | 2024-03-10T06:35:52Z |
| format | Article |
| id | doaj.art-a98b76033e0248b88d45b4b912f38dc2 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T06:35:52Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a98b76033e0248b88d45b4b912f38dc22023-11-22T18:06:42ZengMDPI AGEnergies1996-10732021-10-011420665810.3390/en14206658Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and ApplicationsYing-Yi Hong0Gerard Francesco DG. Apolinario1Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, TaiwanDepartment of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, TaiwanThe unit commitment problem (UCP) is one of the key and fundamental concerns in the operation, monitoring, and control of power systems. Uncertainty management in a UCP has been of great interest to both operators and researchers. The uncertainties that are considered in a UCP can be classified as technical (outages, forecast errors, and plugin electric vehicle (PEV) penetration), economic (electricity prices), and “epidemics, pandemics, and disasters” (techno-socio-economic). Various methods have been developed to model the uncertainties of these parameters, such as stochastic programming, probabilistic methods, chance-constrained programming (CCP), robust optimization, risk-based optimization, the hierarchical scheduling strategy, and information gap decision theory. This paper reviews methods of uncertainty management, parameter modeling, simulation tools, and test systems.https://www.mdpi.com/1996-1073/14/20/6658chance-constrained programminghierarchical scheduling strategyinformation gap decision theoryprobabilistic methodsrisk-based optimizationrobust optimization |
| spellingShingle | Ying-Yi Hong Gerard Francesco DG. Apolinario Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications Energies chance-constrained programming hierarchical scheduling strategy information gap decision theory probabilistic methods risk-based optimization robust optimization |
| title | Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications |
| title_full | Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications |
| title_fullStr | Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications |
| title_full_unstemmed | Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications |
| title_short | Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications |
| title_sort | uncertainty in unit commitment in power systems a review of models methods and applications |
| topic | chance-constrained programming hierarchical scheduling strategy information gap decision theory probabilistic methods risk-based optimization robust optimization |
| url | https://www.mdpi.com/1996-1073/14/20/6658 |
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