LDR | | 01760nmm uu200385 4500 |
001 | | 000000331906 |
005 | | 20240805165620 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438195370 |
035 | |
▼a (MiAaPQ)AAI10826616 |
035 | |
▼a (MiAaPQ)cmu:10263 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 621.3 |
100 | 1 |
▼a Khan, Irfan Ahmad. |
245 | 10 |
▼a Novel Control Algorithms for Hierarchical Control of Power Systems. |
260 | |
▼a [S.l.] :
▼b Carnegie Mellon University.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 165 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
500 | |
▼a Adviser: Soummya Kar. |
502 | 1 |
▼a Thesis (Ph.D.)--Carnegie Mellon University, 2018. |
520 | |
▼a With the recent large-scale integration of Distributed Generation (DG), the power system has changed drastically. Due to the intermittent nature of DG, real-time control of power generating units has become much more challenging. Consequently, v |
520 | |
▼a This thesis addresses the issue of communication congestion in the transmission of real-time data from local power systems to the centralized controller. It addresses this communication congestion issue in the context of three control problems i |
590 | |
▼a School code: 0041. |
650 | 4 |
▼a Electrical engineering. |
690 | |
▼a 0544 |
710 | 20 |
▼a Carnegie Mellon University.
▼b Electrical and Computer Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0041 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998910
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |