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Convex Optimization of Power Systems
Joshua Adam Taylor
出版Cambridge University Press, 2015-02-12
主題Mathematics / Linear & Nonlinear ProgrammingMathematics / OptimizationTechnology & Engineering / ElectricalTechnology & Engineering / Power Resources / NuclearTechnology & Engineering / Power Resources / Alternative & RenewableTechnology & Engineering / Power Resources / ElectricalTechnology & Engineering / Telecommunications
ISBN11070768709781107076877
URLhttp://books.google.com.hk/books?id=JBdoBgAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.