國立高雄大學圖資館 |

登入

回首頁

Large-scale system analysis under uncertaintywith electric power applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Large-scale system analysis under uncertaintyAlejandro D. Domínguez-García, University of Illinois at Urbana-Champaign.
其他題名:	with electric power applications /
作者:	Domínguez-García, Alejandro D.
出版者:	Cambridge, United Kingdom ; New York, NY, USA :Cambridge University Press,2022.
面頁冊數:	xv, 337 p. :ill., digital ;25 cm.
附註:	Title from publisher's bibliographic system (viewed on 17 Jan 2022).
標題:	Systems engineeringRisk assessment.
電子資源:	https://doi.org/10.1017/9781108123853
ISBN:	9781108123853$q(electronic bk.)

Large-scale system analysis under uncertaintywith electric power applications /
Domínguez-García, Alejandro D.

Large-scale system analysis under uncertaintywith electric power applications /[electronic resource] :Alejandro D. Domínguez-García, University of Illinois at Urbana-Champaign. - Cambridge, United Kingdom ; New York, NY, USA :Cambridge University Press,2022. - xv, 337 p. :ill., digital ;25 cm.

Title from publisher's bibliographic system (viewed on 17 Jan 2022).

Discover a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Providing accessible yet rigorous coverage, it showcases the theory through detailed case studies drawn from electric power application problems, including the impact of integration of renewable-based power generation in bulk power systems, the impact of corrupted measurement and communication devices in microgrid closed-loop controls, and the impact of components failures on the reliability of power supply systems. The case studies also serve as a guide on how to tackle similar problems that appear in other engineering application domains, including automotive and aerospace engineering. This is essential reading for academic researchers and graduate students in power systems engineering, and dynamic systems and control engineering.

ISBN: 9781108123853$q(electronic bk.)Subjects--Topical Terms:

930521
Systems engineering
--Risk assessment.

LC Class. No.: TA169.55.R57 / D66 2022

Dewey Class. No.: 621.31

Large-scale system analysis under uncertaintywith electric power applications /
LDR:01808nmm a2200241 a 4500 001 626809
003 UkCbUP
005 20220204060923.0
006 m d
007 cr nn 008maaau
008 230118s2022 enk o 1 0 eng d
020 $a 9781108123853$q(electronic bk.)
020 $a 9781107192089$q(hardback)
035 $a CR9781108123853
040 $a UkCbUP $b eng $c UkCbUP $d GP
050 0 0 $a TA169.55.R57 $b D66 2022
082 0 0 $a 621.31 $2 23
090 $a TA169.55.R57 $b D671 2022
100 1 $a Domínguez-García, Alejandro D. $3 930520
245 1 0 $a Large-scale system analysis under uncertainty $h [electronic resource] : $b with electric power applications / $c Alejandro D. Domínguez-García, University of Illinois at Urbana-Champaign.
260 $a Cambridge, United Kingdom ; New York, NY, USA : $b Cambridge University Press, $c 2022.
300 $a xv, 337 p. : $b ill., digital ; $c 25 cm.
500 $a Title from publisher's bibliographic system (viewed on 17 Jan 2022).
520 $a Discover a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Providing accessible yet rigorous coverage, it showcases the theory through detailed case studies drawn from electric power application problems, including the impact of integration of renewable-based power generation in bulk power systems, the impact of corrupted measurement and communication devices in microgrid closed-loop controls, and the impact of components failures on the reliability of power supply systems. The case studies also serve as a guide on how to tackle similar problems that appear in other engineering application domains, including automotive and aerospace engineering. This is essential reading for academic researchers and graduate students in power systems engineering, and dynamic systems and control engineering.
650 0 $a Systems engineering $x Risk assessment. $3 930521
650 0 $a Electric power systems $x Risk assessment. $3 930522
650 0 $a Uncertainty. $3 183510
856 4 0 $u https://doi.org/10.1017/9781108123853