Landis+gyr Innovations, Inc.

Landis+gyr Technology, Inc.

Soorya Kuloor

Chethana Kuloor

Umang Deora

Sravan Buggaveeti

Anthony DeRubeis

Kelvin Proctor

Jack Dangar

Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Maintaining connectivity information for meters and transformers located in a power distribution network

A method for determining the phase of an electric meter includes: selecting a population of electric meters; selecting a historical time range based at least in part on the selected population of electric meters; selecting an interval period; creating profiles for each electric meter in the selected population of electric meters based on the voltage measurements over one or more interval periods; calculating a correlation coefficient matrix based on the profiles; clustering the selected population of electric meters into a plurality of clusters; and determining a phase of each cluster of the plurality of clusters.

Determining meter phase using interval voltage measurements

A method for ranking network assets based on downstream events may include: receiving communications from one or more sensors in a power distribution network, the communications indicating the occurrence of a network event; calculating a probability of a network asset causing a problem indicated by the event for each network asset in an affected area of the network; calculating a spread probability of the network asset causing the problem for each network asset in the affected area of the network; based on the probability and the spread probability, calculating a probability of the network asset malfunctioning for each network asset in the affected area of the network; comparing the probability of the network asset malfunctioning to a threshold value; based on the comparison, determining a network asset having a highest probability of malfunctioning; and controlling one of more other network assets to mitigate the problem.

Ranking network assets based on downstream events and measurements

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Cary, NC, United States of America

Soorya Kuloor