Impact of the State Estimation in Different Scenarios and Topologies in a Power Distribution System

The acquisition of data in the scope of distribution system is extremely important for the operation of the electrical system, due to this be the most complex segment in Brazil and for being study object growing within the evolution directed to smart grids. In this scenario, the importance of obtain...

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Bibliographic Details
Published in:	2018 53rd International Universities Power Engineering Conference (UPEC) pp. 1 - 6
Main Authors:	da Silva, Emerson R., Bernardon, Daniel P., Delavechia, Robson P., Ortiz, Mauro S., Milbradt, Rafael G., Canha, Luciane N., Hokama, Wagner S.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2018
Subjects:	Current measurement DIgSILENT PowerFactory Measurement uncertainty Meters Power Distribution Systems Power Flow Remote Measurements State estimation Strips Weight measurement
Online Access:	Get full text
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Summary:	The acquisition of data in the scope of distribution system is extremely important for the operation of the electrical system, due to this be the most complex segment in Brazil and for being study object growing within the evolution directed to smart grids. In this scenario, the importance of obtaining information that directly influence the analysis of real-time monitoring variables is verified. However, the large-scale allocation of meters along the distribution network becomes an impractical practice due to the cost of these equipment. Within this context, the State Estimation (SE) method comes as a great allied, because it employs methods such as power flow to obtain data in places where no meters are available. In addition, their location directly affects the quantity and relevance of the information provided for system observability. Therefore, this article highlights the analysis of a low voltage Power Distribution Systems (PDS) from the SE perspective. In this way, it is tried to change the arrangement of the meters and the quantity of the meters in the network, to apply an Index of Increase in State Estimation Accuracy (IISEA). In summary, the impact of the remote measures in the estimation of states is evaluated, aiming, to obtain conclusions that help in a better view of the general panorama of the network. For this reason, focusing on the analysis of the impact of remote measurements in the estimation of states in PDS, the DIgSILENT PowerFactory 2017 software is used to obtain the results.
DOI:	10.1109/UPEC.2018.8542017