机读格式显示(MARC)

• 000 02437cam a2200409 a 4500

• 001 0000605756

• 003 CAL

• 005 20220304103000.0

• 006 m_ d

• 007 cr cn

• 008 140909s2015 enk s 000 0 eng

• 010 __ |a 2014032238

• 020 __ |a 9781107076877

• 020 __ |a 9781316236918

• 040 __ |a DLC |b eng |e rda |c DLC

• 042 __ |a pcc

• 050 00 |a TK1005 |b .T427 2015

• 082 00 |a 621.3101/5196 |2 23

• 084 __ |a MAT017000 |2 bisacsh

• 093 __ |a TM7 |2 5

• 099 __ |a CAL 022015026293

• 100 1_ |a Taylor, Joshua Adam, |d 1983-

• 245 10 |a Convex optimization of power systems / |c Joshua Adam Taylor.

• 260 __ |a Cambridge, United Kingdom ; |a New York : |b Cambridge University Press, |c 2015.

• 300 __ |a 1 online resource (197 pages) : |b illustrations

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a computer |b c |2 rdamedia

• 338 __ |a online resource |b cr |2 rdacarrier

• 500 __ |a Description based on print version record.

• 505 8_ |a Machine generated contents note: 1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions.

• 520 __ |a "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"-- |c Provided by publisher.

• 650 _0 |a Electric power systems |x Mathematical models.

• 650 _0 |a Electric power distribution |x Mathematics.

• 650 _0 |a Convex programming.

• 650 _0 |a Mathematical optimization.

• 650 _7 |a MATHEMATICS / Linear Programming. |2 bisacsh

• 856 4_ |u http://www.itextbook.cn/f/book/bookDetail?bookId=ac6b4e77b6284899addbfcd302b086df |z An electronic book accessible through the World Wide Web; click to view