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An integrated load allocation/state estimation approach for distribution networks

Title
An integrated load allocation/state estimation approach for distribution networks
Type
Chapter or Part of a Book
Year
2004
Authors
Saraiva, JT
(Author)
FEUP
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Miranda, V
(Author)
FEUP
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Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
CORDIS: Technological sciences > Engineering > Electrical engineering
Other information
Authenticus ID: P-000-DXW
Abstract (EN): In this paper we present a complete methodology to perform state estimation studies in distribution networks. Due to the peculiarities of these networks the traditional state estimation concept was enlarged in different ways. It includes a load allocation study, as a way to cope with the reduced number of real time measurements in SCADA database. The algorithm estimates binary values of topology variables, due to incomplete or erroneous topology information in the control center and it is able to include data modeled by fuzzy numbers as a way to include fuzzy results of the load allocation procedure or fuzzy assessments from experts. Finally, the paper describes a methodology developed to tune the weights to be used in the state estimation based on a Takagi-Sugeno fuzzy inference system. The paper includes a case study based in the IEEE 24 bus system to highlight and illustrate its application in a variety of situations.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
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