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College of Engineering, Design, Art and Technology (CEDAT)
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College of Engineering, Design, Art and Technology (CEDAT)
Academic submissions (CEDAT)
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Distribution Transformer Monitoring and Automatic Load Sharing
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In this project, we designed a system that monitors the voltage, current and ambient temperature of Distribution transformers and by using a standby transformer, perform automatic load sharing between the transformers when they exceed their rated value. We made a prototype that monitors important parameters of a single transformer i.e. the voltage, current and ambient temperature using voltage sensors, current transducers, and temperature sensors. Readings from the sensors are processed by the microcontroller and the GSM module sends these parameters of the distribution transformer periodically to the respective service area engineers which are later relayed to the control center transformer database which contains the transformer ratings, GPS location and contact of the engineer in charge. Secondly, by using a standby transformer connected in parallel to the main transformer through a relay system with the main transformer supplying the loads and the other in standby mode, we set a reference load current value according to the transformer ratings. When the load goes beyond this value for the primary transformer, the standby transformer relay coil is powered to put the two transformers in parallel hence sharing the load equally. In conclusion, Transformers in a power distribution system is the most expensive pieces of the system thus their operational efficiency and protection is vital. With the constantly increasing and varying loads in Uganda, the most effective way of combatting this is connecting transformers in parallel and monitoring their day to day performance. This prevents single transformer overload and provides uninterrupted power to areas with varying loads such as town centers. We recommend using of the obtained data to perform load profiling and monitoring of the operational behavior of the transformers and identify faults before any catastrophic failures thus resulting in significant cost saving and improving efficiency and reliability of the system. (3.074Mb)
Author
Kimbugwe, Simon Peter
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URI
http://hdl.handle.net/20.500.12281/4221
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