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Convex optimization of power systems / Joshua Adam Taylor.

By: Taylor, Joshua Adam, 1983-.
Description: xiv, 197 pages ; 26 cm.ISBN: 9781107076877 (hardback).Subject(s): Electric power systems -- Mathematical models | Electric power distribution -- Mathematics | Convex programming | Mathematical optimizationDDC classification: 621.3101/5196
Contents:
Machine generated contents note: 1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions.
Summary: "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"--
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Item type Current location Call number Status Date due Barcode Item holds
Book Skoltech library
Shelves 		TK1005 .T427 2015 (Browse shelf) Checked out 20/01/2021 2000006918
Total holds: 0

Machine generated contents note: 1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions.

"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"--

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