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Evaluation of Distribution System Losses and the Mitigation Using Load Balancing Prediction Model

Abdulkareem, Ademola and Popoola, M.O. and Somefun, Tobilola Emmanuel and Nnamdi, Elekwa Evaluation of Distribution System Losses and the Mitigation Using Load Balancing Prediction Model. ssrn. (Submitted)

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Abstract

Distribution network losses can be a result of losses in distribution transformers and distribution power lines. However, this research work investigates the evaluation of losses in a distribution network due to unbalanced loading of the distribution transformers using the Covenant university distribution system as a test network. Analysis of losses due to unbalanced loading of distribution transformers in nine (9) substations was carried out by taking real-time load readings from all three phases of the 11kV/0.415kV distribution transformers for a duration of six (6) months. The copper losses were evaluated and compared with the losses that would have occurred if the loads on the transformers were evenly distributed. The result revealed that 4% of net copper losses were incurred due to the unbalanced load conditions of the distribution transformers. Furthermore, the study carries out a mitigation method of a corrective measure for balancing the currents across the three phases. The phase balancing model was developed to evaluate the unbalanced currents, the average current across the three phases, and the deviations of the individual currents from the average currents. The aforementioned parameters were used to generate a permissible range of balanced values across the three phases. A polynomial regression model was trained using the phase balancing model to accurately predict a balanced set of currents across the three phases with an accuracy ranging from 99.55% to 99.99%. Index Term- Losses, Transformer, Distribution system, Phase Balancing. Regression model

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Patricia Nwokealisi
Date Deposited: 21 Nov 2024 13:45
Last Modified: 21 Nov 2024 13:45
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/18610

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