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Iranian Journal of Electrical and Electronic Engineering، جلد ۲۰، شماره ۱، صفحات ۲۹۵۷-۲۹۵۷
عنوان فارسی
چکیده فارسی مقاله
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عنوان انگلیسی A Dependable Protection Scheme for Electrical Vehicle Integrated Microgrid Considering Stressed Fault Scenarios and Dissimilar Fault Inceptions
چکیده انگلیسی مقاله In recent years, due to the widespread applications of DC power-based appliances, the researchers attention to the adoption of DC microgrids are continuously increasing. Nevertheless, protection of the DC microgrid is still a major challenge due to a number of protection issues, such as pole-to-ground and pole-to-pole faults, absence of a zero crossing signal, magnitude of the fault current during grid-connected and islanded mode, bidirectional behaviour of converters, and failure of the converters due to enormous electrical stress in the converter switches which are integrated in the microgrid.  Failure of the converter switches can interrupt the charging of the electrical vehicles in the charging stations which can affect transportation facilities. In addition to the above mentioned issues protection of the DC microgrid is more challenging when fault parameters are varying due to dissimilar grounding conditions and varying operational dynamics of the renewable sources of energy. Motivated by the above challenges a support vector machine and ensemble of k-nearest neighbor based protection scheme has been proposed in this paper to accurately detect and classify faults under both of the modes of operation. Results in the section 5 indicate that performance of the protection scheme is greater as compared to other algorithms.
کلیدواژه‌های انگلیسی مقاله DC Microgrid, Fault Detection, Support Vector Machine, Ensemble of k-Nearest Neighbor, Grid Connected and Islanded Mode
نویسندگان مقاله | Shankarshan Prasad Tiwari
National Institute of Technology Raipur, Chhattisgarh, India
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-4353-8&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Artificial Intelligence Techniques
نوع مقاله منتشر شده Closed - 2023 Special Issue on Application of Electric Vehicles in Smart Energy Systems
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