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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | DESIGN OF AN OPTIMIZED ALGORITHM FOR PARAMETER MONITORING OF DISTRIBUTION TRANSFORMERS IN A SMART GRID |
| Authors Name: | Christopher Ogwugwuam Ezeagwu , Onwuzulike Daniel Amuche , Alagbu Ekene Emmanuel , David Idakwo Friday |
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IJNRD_186258
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| Published Paper Id: | IJNRD2301215 |
| Published In: | Volume 8 Issue 1, January-2023 |
| DOI: | |
| Abstract: | 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%. |
| Keywords: | Smart grid, Health Index, Distributed Transformer, Genetic Algorithm |
| Cite Article: | "DESIGN OF AN OPTIMIZED ALGORITHM FOR PARAMETER MONITORING OF DISTRIBUTION TRANSFORMERS IN A SMART GRID", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.c110-c122, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301215.pdf |
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2301215 Registration ID: 186258 Published In: Volume 8 Issue 1, January-2023 DOI (Digital Object Identifier): Page No: c110-c122 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2301215 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2301215 |
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Impact Factor: 8.76 and ISSN APPROVED
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