13 records matched your query       

03309atm a2200337Ii 4500
001 E6A055AC4D4311EEBB1CF29156ECA4DB
003 SILO
005 20230907010029
008 230801s2022    xxua     b    000 0 eng d
035    $a (OCoLC)1391845433
040    $a IWA $b eng $e rda $c IWA $d SILO
050  4 $a TK3106 .T74x 2022
110 2  $a IEEE Power & Energy Society. $0 https://id.loc.gov/authorities/names/no2008128636
245 00 $a Trends in microgrid modeling for stability analysis / $c prepared by the IEEE PES Power System Dynamic Performance Committee, IEEE PES Task Force on MG Dynamic Modeling.
246 17 $a TR-106 : $b trends in microgrid dynamic modeling
264  1 $a [United States] : $b The Institute of Electrical and Electronics Engineers, Inc., $c [2022]
300    $a xiii, 14-199 pages : $b illustrations (some color) ; $c 28 cm.
490 1  $a IEEE Power & Energy Society technical report ; $v PES-TR106
500    $a Print-out of PDF version.
500    $a "IEEE Power & Energy Society, November 2022."
500    $a "Technical report, PES-TR106."
504    $a Includes bibliographical references (pages 165-199).
520    $a "The modeling and computational requirements to represent in detail various system elements and conditions to properly study stability in Microgrids (MGs) could be very onerous, requiring certain computational tools that restrict the types of studies that can be performed, thus limiting dynamic simulations to a few seconds for a reduced number of MG components. Moreover, model approximations that reduce computational burden and may be able to efficiently represent certain dynamic phenomena in MGs, might not be sufficient to fully analyze the stability of these systems. Therefore, this document focuses on studying and determining the validity and types of applications of detailed and approximate component models for MG dynamic studies and simulations, in the context of the IEEE 1547 standard, in particular generator and grid modeling, full and average converter models, unbalanced and balanced system conditions, dynamic and static loads, and detailed and simplified controls considering communications delays, packet losses, and security issues. A discussion of the use of phasor vis-à-vis electromagnetic transient simulation tools for dynamic stability studies is also presented, together with the role that dynamic phasor and co-simulation approaches could play in such studies. Considering the future integration of grids and MGs to form broad integrated networks, modeling scale-up issues as well as MG equivalent models, specifically white-, grey-, and black-box models, are discussed in the context of dynamic stability analysis and simulations of such large systems. Finally, the modeling needs in MG protection are presented"--publisher's website.
650  0 $a Microgrids (Smart power grids) $x Mathematical models.
650  0 $a Electric power system stability $x Mathematical models.
710 2  $a IEEE PES Power System Dynamic Performance Committee, $e author.
710 2  $a IEEE PES Task Force on MG Dynamic Modeling, $e author.
830  0 $a IEEE Power & Energy Society technical report ; $v PES-TR106.
941    $a 1
952    $l USUX851 $d 20230907011550.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=E6A055AC4D4311EEBB1CF29156ECA4DB