Three-phase State Estimation Model for Distribution Grids / Chusovitin Pavel,Polyakov Ilya,Pazderin Andrey // . - 2016. - V. , l. .

ISSN/EISSN:

нет данных / нет данных

Type:

Proceedings Paper

Abstract:

The paper describes the influence of network models on state estimation results of three-phase distribution systems. State estimation algorithms for distribution networks should be designed taking into account the specific features of such networks. One of the important features is a high level of the phase unbalance due to unsymmetrical loads. Moreover, some distribution grids have two-phase and single-phase branches. Consequently, distribution networks cannot be treated in the context of a single-phase model of the state estimation problem. The purpose of this paper is to perform an analysis of the state estimation results for two different models of the grid tested which has strongly pronounced features described above. The first test is based on a three-phase model of the network, which takes into account the relation between phases. The second test is based on decoupling a three-phase model without this association which allows solving state estimation task separately for each phase. In the paper, the results of state estimation for the two models are analyzed and the advantages of the use of each model are presented.

Author keywords:

state estimation; distribution system; three-phase unbalanced model; three-phase state estimation

DOI:

нет данных

Web of Science ID:

ISI:000393410300036

Соавторы в МНС:

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Другие поля

Поле	Значение
Book-Group-Author	IEEE
Booktitle	2016 IEEE INTERNATIONAL CONFERENCE ON THE SCIENCE OF ELECTRICAL ENGINEERING (ICSEE)
Note	IEEE International Conference on the Science of Electrical Engineering (ICSEE), Eilat, ISRAEL, NOV 16-18, 2016
Organization	IEEE
Publisher	IEEE
Address	345 E 47TH ST, NEW YORK, NY 10017 USA
Language	English
ISBN	978-1-5090-2152-9
Research-Areas	Engineering
Web-of-Science-Categories	Engineering, Electrical \& Electronic
Author-Email	Ilyapol92@gmail.com
Funding-Acknowledgement	RFBR {[}16-38-60054 mol\_a\_dk]
Funding-Text	The reported study was funded by RFBR, according to the research project No. 16-38-60054 mol\_a\_ dk
Number-of-Cited-References	15
Doc-Delivery-Number	BG9LX