Forensic Identification and  Root Causes of Hot Socket Problems  Found in Electrical Meters

Electric meters play a critical role in electric utility distribution systems, especially for residential customers. Because it occurs so infrequently, forensic engineers may not recognize a dangerous condition within these meters known as a “hot socket.” This condition exists where the meter blades make insufficient electrical contact with the socket jaws. This paper reviews methods for forensically examining, diagnosing, and explaining the hot socket phenomenon while exploring smart meters’ incident trends.

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Applying reliability centered maintenance (RCM) to overhead electric utility distribution systems

2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134) ◽

10.1109/pess.2000.867647 ◽

2002 ◽

Cited By ~ 13

Author(s):

J.W. Goodfellow

Keyword(s):

Distribution Systems ◽

Electric Utility ◽

Reliability Centered Maintenance ◽

Utility Distribution

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Absorbing the Rays: Advanced Inverters Help Integrate PV into Electric Utility Distribution Systems

IEEE Power and Energy Magazine ◽

10.1109/mpe.2012.2234406 ◽

2013 ◽

Vol 11 (2) ◽

pp. 45-54 ◽

Cited By ~ 5

Author(s):

S. Steffel ◽

A. Dinkel

Keyword(s):

Distribution Systems ◽

Electric Utility ◽

Utility Distribution

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Data Analytics for Profiling Low-Voltage Customers with Smart Meter Readings

Applied Sciences ◽

10.3390/app11020500 ◽

2021 ◽

Vol 11 (2) ◽

pp. 500

Author(s):

Fabrizio Pilo ◽

Giuditta Pisano ◽

Simona Ruggeri ◽

Matteo Troncia

Keyword(s):

Energy Demand ◽

Data Analytics ◽

Distribution Systems ◽

Low Voltage ◽

Renewable Energy Sources ◽

A Priori ◽

Energy Transition ◽

Smart Meters ◽

Large Databases ◽

A New Technique

The energy transition for decarbonization requires consumers’ and producers’ active participation to give the power system the necessary flexibility to manage intermittency and non-programmability of renewable energy sources. The accurate knowledge of the energy demand of every single customer is crucial for accurately assessing their potential as flexibility providers. This topic gained terrific input from the widespread deployment of smart meters and the continuous development of data analytics and artificial intelligence. The paper proposes a new technique based on advanced data analytics to analyze the data registered by smart meters to associate to each customer a typical load profile (LP). Different LPs are assigned to low voltage (LV) customers belonging to nominal homogeneous category for overcoming the inaccuracy due to non-existent coincident peaks, arising by the common use of a unique LP per category. The proposed methodology, starting from two large databases, constituted by tens of thousands of customers of different categories, clusters their consumption profiles to define new representative LPs, without a priori preferring a specific clustering technique but using that one that provides better results. The paper also proposes a method for associating the proper LP to new or not monitored customers, considering only few features easily available for the distribution systems operator (DSO).

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An examination of the costs and critical characteristics of electric utility distribution system capacity enhancement projects

IEEE PES Power Systems Conference and Exposition, 2004. ◽

10.1109/psce.2004.1397503 ◽

2005 ◽

Cited By ~ 2

Author(s):

P. Balducci ◽

L. Schienbein ◽

T. Nguyen ◽

D. Brown ◽

E. Fathelrahman

Keyword(s):

Distribution System ◽

Electric Utility ◽

System Capacity ◽

Capacity Enhancement ◽

Critical Characteristics ◽

Utility Distribution

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Testing Electric Utility Smart Meters with High Harmonic Current Waveforms

2020 Conference on Precision Electromagnetic Measurements (CPEM) ◽

10.1109/cpem49742.2020.9191866 ◽

2020 ◽

Author(s):

Richard Steiner ◽

Michael Farrell ◽

Shannon Edwards ◽

Thomas Nelson ◽

Julia Codere ◽

...

Keyword(s):

High Harmonic ◽

Electric Utility ◽

Smart Meters ◽

Harmonic Current

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Minimum Night Flow Analysis and Application of the Fixed and Variable Area Discharges Model for Characterizing Leakage in the Gorino Ferrarese (FE-Italy) District

Environmental Sciences Proceedings ◽

10.3390/environsciproc2020002008 ◽

2020 ◽

Vol 2 (1) ◽

pp. 8

Author(s):

Irene Marzola ◽

Stefano Alvisi ◽

Marco Franchini

Keyword(s):

Time Series ◽

Distribution Systems ◽

Water Distribution ◽

Flow Analysis ◽

Water Utilities ◽

Smart Meters ◽

Minimum Night Flow ◽

Major Interest ◽

The Relationship ◽

District Metered Area

Leakage in water distribution systems is an important issue and of major interest for water utilities. In this study, the Minimum Night Flow (MNF) method to quantify the amount of water lost and the equations representing the relationship between pressure and leakage in power and FAVAD (Fixed and Variable Area Discharge) forms were applied to a District Metered Area (DMA) located in Gorino Ferrarese (FE, Italy) equipped with smart meters. The analysis carried out by exploiting the collected time series of user water consumption, DMA inflow, and pressure highlighted that: (a) the MNF method can lead to significant inaccuracy in leakage estimation in the presence of users with irregular consumptions, when based on literature values, and (b) the estimation of the parameters of the power and FAVAD equation is highly affected by the number and types of observed data used.

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