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020 ▼a 9780438420496
035 ▼a (MiAaPQ)AAI10987144
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621.3
1001 ▼a Chen, Yue.
24510 ▼a Markovian Demand Dispatch Design for Virtual Energy Storage to Support Renewable Energy Integration.
260 ▼a [S.l.]: ▼b University of Florida., ▼c 2016.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2016.
300 ▼a 154 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
5021 ▼a Thesis (Ph.D.)--University of Florida, 2016.
520 ▼a The deployment of renewable energy is growing rapidly in the world because of its sustainability and low environmental impact. However, the integration of renewable resources, such as wind and solar power, introduces a high degree of variability
520 ▼a Introduced in this dissertation is a distributed control architecture that transforms a collection of electrical loads to create virtual energy storage for the power grid. A randomized control architecture is proposed, motivated by the need for
520 ▼a A key innovation in this dissertation is finite-dimensional system representations of mean field models, along with linear time-invariant approximations. These linear representations are used throughout the dissertation for system analysis, cont
590 ▼a School code: 0070.
650 4 ▼a Electrical engineering.
650 4 ▼a Energy.
690 ▼a 0544
690 ▼a 0791
71020 ▼a University of Florida. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0070
791 ▼a Ph.D.
792 ▼a 2016
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001407 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033