constrained programming
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2021 ◽  
pp. 103502
Author(s):  
Peyman Khorshidian Mianaei ◽  
Mohammad Aliahmadi ◽  
Safura Faghri ◽  
Mohammad Ensaf ◽  
Amir Ghasemi ◽  
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2021 ◽  
Vol 132 ◽  
pp. 103382
Author(s):  
Xinwei Wang ◽  
Alexander E.I. Brownlee ◽  
Michal Weiszer ◽  
John R. Woodward ◽  
Mahdi Mahfouf ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6658
Author(s):  
Ying-Yi Hong ◽  
Gerard Francesco D. G. Apolinario

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.


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