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Analysis of economical service period for power transformers
Cahyono B.b, Suwarnob, Hariyanto N.b, Takahashi T.c, Okamoto T.c
a Asset Management/School of Electrical and Informatics, PT. PLN (PERSERO)/Bandung Institute of Technology (ITB), Indonesia
b School of Electrical and Informatics, Bandung Institute of Technology (ITB), Indonesia
c Electric Power Engineering Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Japan
[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]Making good balance between power demand growth-and power equipment installation is one of important issues of electric power companies. Appropriate strategies of managing existing power equipment and reinforcement are necessary for obtaining the maximum quality of electricity supply with the optimum energy cost. Strategies for the existing equipment include maintenance and replacement planning. In this article, a method to evaluate average annual cost for maintaining a transformer is introduced based on real failure data of transformers. Using the method, an economical service period of transformers can be eventually estimated. Cost analysis includes transformer’s initial cost, maintenance cost, and cost in the event of failure. Analysis is performed using statistical data from PT. PLN Indonesia. © 2012 IEEE.[/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]Annual cost,Cost analysis,economical service period,Electric power company,Electricity supply,Failure data,Indonesia,Initial costs,Maintenance cost,Optimum energy,Power demands,Power equipment,Statistical datas[/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]average annual cost,economical service period[/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][/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]https://doi.org/10.1109/ICPERE.2012.6287222[/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]