Impact of COVID-19 on Electrical Utilities Panel

2021 ◽  
Author(s):  
Bethany Schunn ◽  
Dragan Komljenovic ◽  
Emeka Okafor ◽  
Frank Michell ◽  
Shripad Revankar
Keyword(s):  
Electrical Utilities

SMART IDENTIFICATION OF POWER QUALITY EVENTS USING NEW STOCKWELL TRANSFORM AND MACHINE LEARNING ALGORITHM

2019 ◽  
Vol XVI (4) ◽  
pp. 95-113
Author(s):  
Muhammad Tariq ◽  
Tahir Mehmood
Keyword(s):  
Machine Learning ◽  
Power Quality ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Noisy Environments ◽  
Satisfactory Performance ◽  
Feature Values ◽  
Learning Machine ◽  
Stockwell Transform ◽  
Electrical Utilities

Accurate detection, classification and mitigation of power quality (PQ) distortive events are of utmost importance for electrical utilities and corporations. An integrated mechanism is proposed in this paper for the identification of PQ distortive events. The proposed features are extracted from the waveforms of the distortive events using modified form of Stockwell’s transform. The categories of the distortive events were determined based on these feature values by applying extreme learning machine as an intelligent classifier. The proposed methodology was tested under the influence of both the noisy and noiseless environments on a database of seven thousand five hundred simulated waveforms of distortive events which classify fifteen types of PQ events such as impulses, interruptions, sags and swells, notches, oscillatory transients, harmonics, and flickering as single stage events with their possible integrations. The results of the analysis indicated satisfactory performance of the proposed method in terms of accuracy in classifying the events in addition to its reduced sensitivity under various noisy environments.

scholarly journals Industrial Electricity Consumption and Expropriate Analysis Technique

2019 ◽  
Vol 9 (1) ◽  
pp. 479-481
Keyword(s):  
Electricity Consumption ◽  
Power Losses ◽  
Cost Of Electricity ◽  
Analysis Technique ◽  
Electricity Power ◽  
The Cost ◽  
Electrical Utilities

Electricity power losses activity is a major problem for many electrical utilities worldwide. Not only does it affect a company’s profitability and credibility, but it also increases the cost of electricity to industrial consumers. Therefore, the need to minimize the extent and impact this problem is crucial for both the utilities, including MGVCL Gujarat that is the focus here, and their industrial consumers.

The physical demands of electrical utilities work in North America

2016 ◽  
Vol 13 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Robert D. Meade ◽  
Martin Lauzon ◽  
Martin P. Poirier ◽  
Andreas D. Flouris ◽  
Glen P. Kenny
Keyword(s):  
North America ◽  
Physical Demands ◽  
Electrical Utilities

Traceable measurements of harmonic (2 to 150) kHz emissions in smart grids: uncertainty calculation

2020 ◽  
Vol 9 (2) ◽  
pp. 375-381
Author(s):  
Daniela Istrate ◽  
Deepak Amaripadath ◽  
Etienne Toutain ◽  
Robin Roche ◽  
Fei Gao
Keyword(s):  
Measurement System ◽  
Smart Grids ◽  
Uncertainty Estimation ◽  
Point Of View ◽  
Uncertainty Calculation ◽  
Electrical Utilities ◽  
Uncertainty Determination

Abstract. The necessity of measuring harmonic emissions between 2 and 150 kHz is outlined by several standard committees and electrical utilities. This paper presents a measurement system and its traceable characterization designed to acquire and analyse voltages up to 230 V and currents up to 100 A with harmonics up to 150 kHz that may occur in smart grids. The uncertainty estimation is carried out and described in detail for both the fundamental and supraharmonics components. From a metrological point of view, ensuring the traceability of current measurements for frequencies higher than 100 kHz and dealing with the complexity of uncertainty determination are bottlenecks related to supraharmonics measurements that this paper proposes an approach to deal with.

Data Exchange Between Electrical Utilities

1988 ◽  
Vol 21 (11) ◽  
pp. 81-84
Author(s):  
J. Willekens ◽  
R. Hatert
Keyword(s):  
Data Exchange ◽  
Electrical Utilities
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