DESIGN OF AN OPTIMIZED ALGORITHM FOR PARAMETER MONITORING OF DISTRIBUTION TRANSFORMERS IN A SMART GRID

Registration ID: IJNRD_186258

Published ID: IJNRD2301215

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Christopher Ogwugwuam Ezeagwu , Onwuzulike Daniel Amuche , Alagbu Ekene Emmanuel , David Idakwo Friday

Smart grid, Health Index, Distributed Transformer, Genetic Algorithm

Distribution transformers are currently monitored manually where a person periodically visits a transformer site for maintenance and recording the parameters. This type of monitoring cannot provide information about occasional overloads and overheating of transformer oil and windings. In this thesis, an optimized algorithm for parameter monitoring of distribution transformers in a smart grid based on HI analysis was developed. The HI was formulated based on the measured (online) data of the distribution transformer obtained from the work by Gajanan et al (2017). The experimental setup adopted is similar to the work by Gajanan et al (2017). This work was also used to validate the results obtained in this work. Results obtained showed that the overall HI obtained by the method developed in this work is 99.89%, while the overall HI obtained by the GA technique employed by Gajanan et al (2017) was 99.78%. This shows a 0.11% improvement when compared to the benchmark performance of 100% obtained by Numerical Method. To obtain the HI, a number of iterations were required to ensure that the obtained results were accurate. Results showed that, under typical circumstances, it took the algorithm employed in this work about 45 iterations before the HI stayed constant, while the work by Gajanan et al (2017) required about 48 iterations to achieve their result. This points to show a conservation of processing resources by the model used in this work. The HI of the DT was also computed when the system was operated under abnormal conditions with faulty sensors, and the overall HI obtained by the method developed in this work for this scenario was 99.70%, while the overall HI obtained by the GA technique employed by Gajanan et al (2017) was 99.53%.

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Christopher Ogwugwuam Ezeagwu, Onwuzulike Daniel Amuche, Alagbu Ekene Emmanuel, & David Idakwo Friday (January-2023). DESIGN OF AN OPTIMIZED ALGORITHM FOR PARAMETER MONITORING OF DISTRIBUTION TRANSFORMERS IN A SMART GRID. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), c110-c122. https://ijnrd.org/papers/IJNRD2301215.pdf

Volume 8 Issue 1, January-2023

Pages : c110-c122

Paper Reg. ID: IJNRD_186258

Published Paper Id: IJNRD2301215

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Research Area: Engineering

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Published Paper PDF: https://ijnrd.org/papers/IJNRD2301215.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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