1. Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications.
- Author
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Hong, Ying-Yi and Apolinario, Gerard Francesco DG.
- Subjects
DECISION theory ,ELECTRICITY pricing ,TEST systems ,ROBUST optimization ,PANDEMICS ,ELECTRIC vehicles ,STOCHASTIC programming - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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