東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Distribution system state estimation.

Wang, Haibin.

Linked to FindBook

Google Book

Amazon

博客來

Distribution system state estimation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distribution system state estimation./
Author:	Wang, Haibin.
Description:	223 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-01, Section: B, page: 0352.
Contained By:	Dissertation Abstracts International64-01B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3077964
ISBN:	0493984291

Distribution system state estimation.
Wang, Haibin.

Distribution system state estimation. - 223 p.

Source: Dissertation Abstracts International, Volume: 64-01, Section: B, page: 0352.

Thesis (Ph.D.)--Michigan Technological University, 2002.

With the development of automation in distribution systems, distribution SCADA and many other automated meters have been installed on distribution systems. Also Distribution Management System (DMS) have been further developed and more sophisticated. It is possible and useful to apply state estimation techniques to distribution systems. However, distribution systems have many features that are different from the transmission systems. Thus, the state estimation technology used in the transmission systems can not be directly used in the distribution systems. This project's goal was to develop a state estimation algorithm suitable for distribution systems.

ISBN: 0493984291Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Distribution system state estimation.
LDR:03025nmm 2200313 4500 001 1845052
005 20051012083907.5
008 130614s2002 eng d
020 $a 0493984291
035 $a (UnM)AAI3077964
035 $a AAI3077964
040 $a UnM $c UnM
100 1 $a Wang, Haibin. $3 1933222
245 1 0 $a Distribution system state estimation.
300 $a 223 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-01, Section: B, page: 0352.
500 $a Adviser: Noel N. Schulz.
502 $a Thesis (Ph.D.)--Michigan Technological University, 2002.
520 $a With the development of automation in distribution systems, distribution SCADA and many other automated meters have been installed on distribution systems. Also Distribution Management System (DMS) have been further developed and more sophisticated. It is possible and useful to apply state estimation techniques to distribution systems. However, distribution systems have many features that are different from the transmission systems. Thus, the state estimation technology used in the transmission systems can not be directly used in the distribution systems. This project's goal was to develop a state estimation algorithm suitable for distribution systems.
520 $a Because of the limited number of real-time measurements in the distribution systems, the state estimator can not acquire enough real-time measurements for convergence, so pseudo-measurements are necessary for a distribution system state estimator. A load estimation procedure is proposed which can provide estimates of real-time customer load profiles, which can be treated as the pseudo-measurements for state estimator. The algorithm utilizes a newly installed AMR system to calculate more accurate load estimations.
520 $a A branch-current-based three-phase state estimation algorithm is developed and tested. This method chooses the magnitude and phase angle of the branch current as the state variable, and thus makes the formulation of the Jacobian matrix less complicated. The algorithm decouples the three phases, which is computationally efficient. Additionally, the algorithm is less sensitive to the line parameters than the node-voltage-based algorithms. The algorithm has been tested on three IEEE radial test feeders, both the accuracy and the convergence speed.
520 $a Due to economical constraints, the number of real-time measurements that can be installed on the distribution systems is limited. So it is important to decide what kinds of measurement devices to install and where to install them. Some rules of meter placement based on this state estimation algorithm are proposed and tested. These rules can improve the accuracy of the estimation results.
590 $a School code: 0129.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Energy. $3 876794
690 $a 0544
690 $a 0791
710 2 0 $a Michigan Technological University. $3 1032921
773 0 $t Dissertation Abstracts International $g 64-01B.
790 1 0 $a Schulz, Noel N., $e advisor
790 $a 0129
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3077964