Diagnosis of defects on Medium Voltage Electric Energy Distribution Networks

► Manual transfer of electrical energy has high incidence of interruption in the AES-SONEL network (up to 10%). ► Phase loss in the network is signaled by consumers rather than any intelligent system. ► Duration of fault detection is dependent on distance from station and time of occurence of the fa...

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Bibliographic Details
Published in:International journal of electrical power & energy systems 2011-11, Vol.33 (9), p.1556-1562
Main Authors: Tatietse, Thomas Tamo, Voufo, Joseph, Ntamack, Denis
Format: Article
Language:English
Subjects:
Applied sciences
Defects
Defects diagnosis
Diagnosis
Electric potential
Electric power generation
Electrical engineering. Electrical power engineering
Electrical power engineering
Electricity failures
Electricity supply
Energy distribution
Exact sciences and technology
Medium Voltage network (MV)
Miscellaneous
Networks
Operation parameters
Power networks and lines
Programmable logic controllers
Voltage
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Summary:► Manual transfer of electrical energy has high incidence of interruption in the AES-SONEL network (up to 10%). ► Phase loss in the network is signaled by consumers rather than any intelligent system. ► Duration of fault detection is dependent on distance from station and time of occurence of the fault. ► An algorithm of real-time monitoring of the AES-SONEL network is proposed to remedy the faults of the network. An analysis of the Medium Voltage (MV) electricity power distribution network in the operated by Cameroon’s AES-SONEL company shows that losses are very high due to energy which is produced but not distributed and that the duration of power interruptions as a result of these defects is long due to the time used in searching for the defects. Given that quick detection of defects is a sure means of improving availability and productivity in any company, we hereby propose a system of real-time diagnosis of the defects on AES-SONEL’s electric power distribution network. After an inventory of typical defects on electric power networks and the proposal of a tool for their identification, we propose a system for the detection and localization of these various failures. The implementation of the system on a Programmable Logic Controller (PLC) enables the performance of the system to be assessed.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2011.06.013