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Convex optimization of power systems /
~
Taylor, Joshua Adam, (1983-)
Convex optimization of power systems /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Convex optimization of power systems // Joshua Adam Taylor.
作者:
Taylor, Joshua Adam,
出版者:
Cambridge :Cambridge University Press, : 2015. ,
面頁冊數:
xiv, 197 p. :ill. ; : 26 cm.;
標題:
Convex programming. -
ISBN:
1107076870 (cloth) :
Convex optimization of power systems /
Taylor, Joshua Adam,1983-
Convex optimization of power systems /
Joshua Adam Taylor. - Cambridge :Cambridge University Press,2015. - xiv, 197 p. :ill. ;26 cm.
Includes bibliographical references and index.
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 ofproblems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control"--
ISBN: 1107076870 (cloth) :NT3111
LCCN: 2014-032238 Subjects--Topical Terms:
528017
Convex programming.
LC Class. No.: TK1005 / .T427 2015
Convex optimization of power systems /
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Convex optimization of power systems /
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"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 ofproblems 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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