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008181129s2017 ||| | | | eng d
020 ▼a 9780438097445
035 ▼a (MiAaPQ)AAI10891781
035 ▼a (MiAaPQ)OhioLINK:osu1512111263124549
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 621.3
1001 ▼a Zhao, Lin.
24510 ▼a Aggregate Modeling of Large-Scale Cyber-Physical Systems.
260 ▼a [S.l.] : ▼b The Ohio State University., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 126 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Wei Zhang.
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2017.
520 ▼a This dissertation delivers new theoretical and computational frameworks for systematically modeling the aggregate dynamics of large-scale cyber-physical systems. Particularly focused on the hierarchical demand response management system in smart
520 ▼a For control-oriented modeling, we develop a unified stochastic hybrid system (SHS) framework to derive the partial differential equations (PDE) that characterize the dynamical evolution of the load distribution. A deterministic hybrid system is
520 ▼a The optimization-oriented modeling is to characterize the constraint sets satisfied by the aggregate load power, also known as the aggregate flexibility. We show that the individual power flexibility can be modeled by a polytope and the aggregat
520 ▼a Aggregate flexibility modeling of deferrable loads is more challenging than that of TCLs due to the additional timing constraints. A sufficient characterization (i.e., inner approximation) of the aggregate flexibility with controllable model com
590 ▼a School code: 0168.
650 4 ▼a Electrical engineering.
690 ▼a 0544
71020 ▼a The Ohio State University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000274 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자