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Nanogrid reliability assessment study using loss of load expectation
Widjajanto D.a,b, Leksono E.a, Widyotriatmo A.a
a Department of Engineering Physics, Institut Teknologi Bandung, Bandung, 40132, Indonesia
b Department of Electrical Engineering, Politeknik Negeri Jakarta, Depok, 16424, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 International Journal of Renewable Energy Research.Microgrids are autonomous electric power distribution systems for small communities that utilize distributed generation to improve performance. Various microgrid advantages, such as increased reliability, efficiency, etc. are causing its penetration to the electric power system to be increased every day. Currently, microgrid applications have evolved to a smaller scale called nanogrids. The objective of this research is to promote a method that can be used to asses the reliability of a various nanogrid system using loss of load expectation (LOLE), a well known and established reliability analysis method for power system. The increasing number of microgrids and nanogrids raises the need for a tool that can be used to assess their performance. This method would be used as a tool to compare one nanogrid system to another and to measure the ups and downs of a system’s performance over time or after an improvement has been made. As a validation, this method will be used to evaluate the reliability of nanogrids in the energy management laboratories, physics engineering study programs, the Institut Teknologi Bandung.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]LOLE,Markov model,Microgrid,Nanogrid,Reliability analysis[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This research was supported by the Domestic Scholarship Program of Indonesian Lecturer (Beasiswa Unggulan Dosen Indonesia-Dalam Negeri, BUDI-DN) by the Ministry of Research, Technology and Higher Education of the Republic of Indonesia.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]