scholarly journals Artificial Intelligence Based Distribution System Management and Control

2020 ◽  
Vol 2 (2) ◽  
pp. 137-147
Author(s):  
Dr. Nirmal D.

The electrical transmission and distribution systems are working on their own independence in operation. The operation of these systems can be modified by manual switching process. The switching process takes place only there is a need for transmission line alteration and transmission line fault attendance period. The manual switching operation during fault occurrence period consumes lot of time for the trained person to reach the place and it may leads to severe damages to the transmission system, also it’s a threat to human safety. In order to avoid such drawbacks circuit breakers and automatic trippers were installed to the transmission lines and distribution systems. The circuit breakers and trippers are able to switch off the system only after the fault observation in the transmission line system. The proposed artificial intelligence based management and control system consists of several sensor elements and wireless IoT transmission to predict and avoid the fault occurrence by monitoring the physical and atmosphere condition of the transmission and distribution line. The control structure fitted with the transmission line monitors the environment and line fault condition and the IoT transmission unit gives a possible communication from the remote monitoring system to the transmission line system for switching operations.

Author(s):  
René Smeets ◽  
Lou van der Sluis ◽  
Mirsad Kapetanović ◽  
David F. Peelo ◽  
Anton Janssen

2021 ◽  
Vol 3 (3) ◽  
pp. 192-204
Author(s):  
R. Rajesh Sharma

Transformers are one of the primary device required for an AC (Alternating Current) distribution system which works on the principle of mutual induction without any rotating parts. There are two types of transformers are utilized in the distribution systems namely step up transformer and step down transformer. The step up transformers are need to be placed at some regular distances for reducing the line losses happening over the electrical transmission systems. Similarly the step down transformers are placed near to the destinations for regulating the electricity power for the commercial usage. Certain regular check-ups are must for a distribution transformer for increasing its operational life time. The proposed work is designed to regularize such health check-ups using IoT sensors for making a centralized remote monitoring system.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Xiangyang Ye ◽  
Mahesh Dhotre

A high-voltage circuit breaker is an indispensable piece of equipment in the electric transmission and distribution systems. Transonic flow typically occurs inside breaking chamber during the current interruption, which determines the insulating characteristics of gas. Therefore, accurate compressible flow simulations are required to improve the prediction of the breakdown voltages in various test duties of high-voltage circuit breakers. In this work, investigation of the impact of the solvers on the prediction capability of the breakdown voltages in capacitive switching is presented. For this purpose, a number of compressible nozzle flow validation cases have been presented. The investigation is then further extended for a real high-voltage circuit breaker geometry. The correlation between the flow prediction accuracy and the breakdown voltage prediction capability is identified.


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