LDR | | 00000nmm u2200205 4500 |
001 | | 000000331039 |
005 | | 20241107173630 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438295728 |
035 | |
▼a (MiAaPQ)AAI10831506 |
035 | |
▼a (MiAaPQ)coe.neu:11041 |
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▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 621.3 |
100 | 1 |
▼a Xu, Chenxi. |
245 | 10 |
▼a Computationally Efficient PMU-based L1 Estimators for Large Power Systems. |
260 | |
▼a [S.l.] :
▼b Northeastern University.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 115 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
500 | |
▼a Adviser: Ali Abur. |
502 | 1 |
▼a Thesis (Ph.D.)--Northeastern University, 2018. |
520 | |
▼a Phasor Measurement Units (PMUs) are increasingly deployed in power systems because of their nice characteristics like fast data acquisition rate and GPS clock synchronization. With the explicit usage of PMU measurements, Least Absolute Value (LA |
520 | |
▼a The first part of this dissertation presents two centralized LAV SEs incorporating Zero Injection (ZI) measurements into the LAV state estimation formulation using direct enforcement and Kron reduction, respectively. |
520 | |
▼a Based on the current circumstance that VLSI power grids are usually divided into several independent and non-overlapping zones, the second part of this dissertation presents several multi-area distributed LAV SEs. |
520 | |
▼a The first algorithm combines a well-known LP decomposition method: Dantzig-Wolfe (DW) decomposition with the LAV SE considering the motivation that LAV can be formulated as an LP problem and multi-area state estimation measurement matrix has the |
520 | |
▼a The second algorithm uses a two-stage set-up to assure adequate robustness around zone boundaries. All zones run their own SEs and the estimated boundary bus states, together with measurements between zones, are both used as measurements for the |
520 | |
▼a The third algorithm generates one or several additional zones covering all boundary buses and their direct neighbors. This new zone and all existing zones run their SEs simultaneously in parallel. Results are collected and reconciled to provide |
520 | |
▼a The fourth algorithm creates one or several "copies" of the system. Each copy contains one way of system zone partitioning. All buses appear at least once as an internal bus in these copies. All zones in all copies run independent SEs. An algori |
520 | |
▼a The above multi-copy algorithm is implemented and further tested on a high-performance multi-core computer using parallel processing. |
520 | |
▼a Above algorithms are implemented on different test systems with sizes ranging from 30-bus to 16216-bus and the corresponding simulation results are presented in this dissertation. |
590 | |
▼a School code: 0160. |
650 | 4 |
▼a Electrical engineering. |
690 | |
▼a 0544 |
710 | 20 |
▼a Northeastern University.
▼b Electrical and Computer Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0160 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999522
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |