Live working. Guidelines for the installation of transmission and distribution line conductors and earth wires. Stringing equipment and accessory items

2017 ◽  
Keyword(s):  
Distribution Line ◽  
Earth Wires ◽  
Transmission And Distribution

scholarly journals Implementation of Voltage Stability System in Distribution Network by using D-STATCOM

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3374-3379
Keyword(s):  
Power Quality ◽  
Distribution Network ◽  
Life Time ◽  
Project Work ◽  
Voltage Sag ◽  
Safe Operation ◽  
Distribution Line ◽  
Quality Issues ◽  
Transmission And Distribution ◽  
Stable Voltage

This project work presents a proposed D-STATCOM system, Which is implemented in the distribution network. In the present scenario, the customer or consumer should be supplied with a quality power. The power quality issues like voltage sag, swell, lightning surges etc, can be reduced by using several advanced techniques. Among all these power quality issues voltage sag is considered and has been compensated in this project work by using D-STATCOM. The major advantage of D-STATCOM is that instead of installing the compensating device in the transmission and distribution line, the D-STATCOM unit is implemented at the consumers premises to maintain stable voltage for the connected electrical equipment’s and also to provide safe operation of the electrical equipment’s by extending their life time. The software ie., implemented by using MATLAB Simulink and the results are also verified experimentally by a hardware unit

Development and Investigation of a Proposed Voltage Sag Index

2012 ◽  
Vol 1 (1) ◽  
pp. 72-91
Author(s):  
Alexis Polycarpou
Keyword(s):  
Power Flow ◽  
Voltage Sag ◽  
Flow Equations ◽  
Load Transmission ◽  
R Ratio ◽  
Mathematical Equations ◽  
Distribution Line ◽  
Transmission And Distribution ◽  
Load Angle

A proposed voltage sag index based on power flow equations is developed and investigated in this paper. The index supervises the power quality of a system, through calculating the voltage sag profile caused by an increase in reactive demand due to induction motor starting. Mathematical equations representing the load angle of the system are also derived. The accuracy of the index is investigated for a range of load, transmission, and distribution line X/R ratio values as well as various motor loading levels. Results demonstrate the effectiveness and applicability of the proposed index.

scholarly journals Flashover Prevention System using IoT and Machine Learning for Transmission and Distribution Lines

2021 ◽  
Vol 15 (11) ◽  
pp. 34
Author(s):  
Kobkiat Saraubon ◽  
Nuttapong Wiriyanuruknakon ◽  
Natdanai Tangthirasunun
Keyword(s):  
Machine Learning ◽  
Short Term Memory ◽  
Polynomial Regression ◽  
Moving Average ◽  
Thin Layers ◽  
Prevention System ◽  
Auto Regressive ◽  
Distribution Line ◽  
Long Short Term Memory ◽  
Transmission And Distribution

Flashover on transmission and distribution line insulators occurs when the insulator’s resistance drops to a critical level and causes frequent power outages. Thin layers of dust, salt, and airborne particles, gradually deposited on the surface of insulators, as well as humidity, form an electrolyte which causes flashover.  In this paper, a flashover prevention system using IoT technology and machine learning is proposed in order to reduce loss and increase power reliability. The system includes an IoT module, a service and clients. The IoT module prototype was installed at a distribution line pole located in Pracha-utit, Bangkok, Thailand and had collected data for thirty-four months. The data were pre-processed and split for the training process and evaluation. In this study, we built and compared four models including linear regression, polynomial regression, Auto-regressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models. The results revealed that the LSTM model outperformed (<em>R</em><sup>2</sup>=.931, RMSE= 530.74) the others.

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