SKOLKOVO School of Management

Convex optimization of power systems / (Record no. 4124)

000 -LEADER
fixed length control field 01953cam a2200289 i 4500
001 - CONTROL NUMBER
control field 18295240
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20181218092926.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140909s2015 enk 000 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014032238
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107076877 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK1005
Item number .T427 2015
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3101/5196
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Taylor, Joshua Adam,
Dates associated with a name 1983-
245 10 - TITLE STATEMENT
Title Convex optimization of power systems /
Statement of responsibility, etc Joshua Adam Taylor.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 197 pages ;
Dimensions 26 cm
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: 1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions.
520 ## - SUMMARY, ETC.
Summary, etc "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"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electric power systems
General subdivision Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electric power distribution
General subdivision Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Convex programming.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical optimization.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Total Renewals Full call number Barcode Checked out Date last seen Date checked out Price effective from Koha item type
          Skoltech library Skoltech library Shelves 2018-12-18 3 15 TK1005 .T427 2015 2000006918 2021-01-20 2020-02-04 2020-02-04 2018-12-18 Book