Novel approach to power system state estimation for transmission and distribution systems
File(s)cpu_FDSE_R2_final.docx (248.52 KB)
Accepted version
Author(s)
Nogueira, Ellen M
Portelinha, Renan K
Lourenco, Elizete M
Tortelli, Odilon L
Pal, Bikash C
Type
Journal Article
Abstract
This article proposes a power system state estimation (PSSE) capable of dealing with distribution and transmission networks. The proposed approach combines decoupled techniques, complex per unit (cpu) system, and a switching branch representation to meet the increasing complexity of state estimation issue when associated with the emerging electrical systems. The result is an efficient tool that can easily deal with distributed generation, closed loop, or meshed operation and manoeuvres in distribution systems (DS) keeping the efficiency and ability of the fast decoupled estimator to process transmission systems (TS). Results obtained with several simulations carried out on two distribution test systems, a 136-node Brazilian feeder and a 907-node European feeder, and on the IEEE 14-bus TS, demonstrate the effectiveness of the proposed methodology.
Date Issued
2019-05-21
Date Acceptance
2019-02-14
Citation
IET Generation, Transmission and Distribution, 2019, 13 (10), pp.1970-1978
ISSN
1350-2360
Publisher
Institution of Engineering and Technology (IET)
Start Page
1970
End Page
1978
Journal / Book Title
IET Generation, Transmission and Distribution
Volume
13
Issue
10
Copyright Statement
© The Institution of Engineering and Technology 2019. This paper is a postprint of a paper submitted to and accepted for publication in IET Generation, Transmission and Distribution and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
Sponsor
Engineering & Physical Science Research Council (E
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000471025300024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
J15119 - PO:500174140
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
load flow
transmission networks
power system state estimation
distribution networks
distributed power generation
emerging electrical systems
distributed generation
distribution systems
fast decoupled estimator
transmission systems
distribution test systems
switching branch representation
PSSE
TOPOLOGY ERROR IDENTIFICATION
Publication Status
Published
Date Publish Online
2019-03-20