This volume in the SpringerBriefs in Energy series offers a systematic
review of unit commitment (UC) problems in electrical power generation.
It updates texts written in the late 1990s and early 2000s by including
the fundamentals of both UC and state-of-the-art modeling as well as
solution algorithms and highlighting stochastic models and mixed-integer
programming techniques.
The UC problems are mostly formulated as mixed-integer linear programs,
although there are many variants. A number of algorithms have been
developed for, or applied to, UC problems, including dynamic
programming, Lagrangian relaxation, general mixed-integer programming
algorithms, and Benders decomposition. In addition the book discusses
the recent trends in solving UC problems, especially stochastic
programming models, and advanced techniques to handle large numbers of
integer- decision variables due to scenario propagation