Convex Optimization of Power Systems
作者： Joshua Adam Taylor
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摘要: 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 flow problem, which lies at heart of many different optimizations. Convex models each optimization class are then developed parallel a variety practical applications like unit commitment, generation transmission planning, nodal pricing. Presenting classical relaxations side-by-side, selection problems worked examples, an invaluable resource students researchers industry academia systems, control.
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