Quasi real time state estimation of distribution systems using soft computing methodology

Popov, V.A.; Ekel, Petr; Farret, Felix A.; Fritzen, Paulo Cícero; König, Andreas

doi:10.1109/iccdcs.1998.705874

Cited by 1 publication

(2 citation statements)

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“…If any customer does not have a smart meter, this load can be presumed through the use of typical load curves, according to the class of the consumer and historical monthly consumption recorded by the utility [6], but due to this be a less accurate measure, this value will have a smaller weight to the estimator.…”

Section: The Smart Metersmentioning

confidence: 99%

“…The algorithm starts by state estimation in each low voltage circuit using the information already filtered from each of the meters. If the filter accuse error in some measure this should be replaced by an estimate that can be made based on the consumer class, their average monthly consumption, and the typical load curve linked to the consumer class [6].…”

Section: E Technical Approach For the Estimationmentioning

confidence: 99%

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Real-time evaluation of voltage control in distribution systems using remote measurements and smart meters

Milbradt

Canha

Pereira

et al. 2012

2012 9th International Conference on the European Energy Market

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The recent technological advances included in the distribution systems, such as the use of supervisory systems, automation and the emergence of the smart meters brings many possibilities for improvement in the methodologies used in the operation of these systems. This paper proposes a methodology for using state estimation techniques and error detection in smart grids, through measures in the MV network and smart meters to evaluate the voltage profile of the feeder. This evaluation is obtained by calculating an index that analyzes the voltage levels at nodes of consumers according to the ranges appropriate, precarious and critical, further penalizing violations in loads with higher priority or that are in this condition for a long time. The methodology for evaluation can be used to predict the scenarios when changing settings in voltage regulators, seeking to supply energy with a higher quality, thereby increasing consumer satisfaction.

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Section: The Smart Metersmentioning

confidence: 99%

Section: E Technical Approach For the Estimationmentioning

confidence: 99%