MARC보기
LDR02168nam u200397 4500
001000000418274
00520190215162728
008181129s2017 |||||||||||||||||c||eng d
020 ▼a 9780355949155
035 ▼a (MiAaPQ)AAI10687205
035 ▼a (MiAaPQ)berkeley:17557
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621
1001 ▼a Sankur, Michael Derin.
24510 ▼a Optimal Control of Commercial Office Battery Systems, and Grid Integrated Energy Resources on Distribution Networks.
260 ▼a [S.l.]: ▼b University of California, Berkeley., ▼c 2017.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2017.
300 ▼a 136 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 ▼a Adviser: Dave Auslander.
5021 ▼a Thesis (Ph.D.)--University of California, Berkeley, 2017.
520 ▼a The proliferation of new sensing and actuation technologies presents new opportunities for enhanced supervision, optimization, and control of energy systems. In the commercial office environment, the use of smart power strips, uninterruptible po
520 ▼a At the commercial office scale, we discuss the development and implementation of optimal control of plug loads and office scale battery storage. Building upon successes in optimal control of plug loads, we propose a model predictive controller (
520 ▼a At the distribution network scale, we discuss power flow models for optimization of grid distributed energy resources (DER), and techniques for solving nonlinear optimal power flow (OPF) problems. First, we study semidefinite programming as a me
590 ▼a School code: 0028.
650 4 ▼a Mechanical engineering.
690 ▼a 0548
71020 ▼a University of California, Berkeley. ▼b Mechanical Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-09B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0028
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996758 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033