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Electrical Power Unit Commitment
Deterministic and Two-Stage Stochastic Programming Models and Algorithms
Angleščina
151 b
30 dni za vračilo blaga
This entry into the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. This book updates texts written in the late 1990s and early 2000s by including both basics of UC models and state-of-the-art models and solution algorithms, where stochastic models and mixed integer programming techniques are emphasized The UC problems are mostly formulated as mixed integer linear programs, although there are many variants. Some of the varieties of algorithms have been developed for or applied to UC problems include dynamic programming, Lagrangian relaxation, general mixed integer programming algorithms, and Benders decomposition. This book also 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.
O knjigi
Angleščina
