The Next Generation of Electric Power Unit Commitment Models - International Series in Operations Research & Management Science 36 (Hardback)Benjamin F. Hobbs (editor), Michael H. Rothkopf (editor), Hung-Po Chao (editor), Richard P. O'Neill (editor)
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Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.
Number of pages: 320
Weight: 1420 g
Dimensions: 234 x 156 x 19 mm
Edition: 2001 ed.
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