A solution to the stochastic unit commitment problem using chance constrained programming

2005 ◽  
Author(s):  
M. Mazumdar ◽  
B. Norman
Keyword(s):  
Unit Commitment ◽  
Chance Constrained Programming ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Stochastic Unit Commitment ◽  
Constrained Programming

scholarly journals Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6658
Author(s):  
Ying-Yi Hong ◽  
Gerard Francesco D. G. Apolinario
Keyword(s):  
Power Systems ◽  
Unit Commitment ◽  
Uncertainty Management ◽  
Probabilistic Methods ◽  
Chance Constrained Programming ◽  
Forecast Errors ◽  
Monitoring And Control ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Constrained Programming

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.

A decomposition approach to the two-stage stochastic unit commitment problem

2012 ◽  
Vol 210 (1) ◽  
pp. 387-410 ◽  
Author(s):  
Qipeng P. Zheng ◽  
Jianhui Wang ◽  
Panos M. Pardalos ◽  
Yongpei Guan
Keyword(s):  
Unit Commitment ◽  
Unit Commitment Problem ◽  
Two Stage ◽  
Decomposition Approach ◽  
Commitment Problem ◽  
Stochastic Unit Commitment
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