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

Energies

Ying-Yi Hong¹  Gerard Francesco DG. Apolinario¹ 

[1] Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan;

关键词: chance-constrained programming;    hierarchical scheduling strategy;    information gap decision theory;    probabilistic methods;    risk-based optimization;    robust optimization;   

DOI  :  10.3390/en14206658

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown