PERKIRAAN BEBAN TRANSFORMATOR 60 MVA DENGAN MENGGUNAKAN METODE ANFIS DI GI 150 KV TANGERANG BARU
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
NURUL HUDA NASUTION, AULIA
Oktaviana Putri, Tri Wahyu
Oktaviana Putri, Tri Wahyu
Subject
Teknik Elektro
Datestamp
2022-11-01 08:21:04
Abstract :
The soaring demand for electricity consumption that occurs every year makes PT. PLN (Persero) as an electricity supplier must have a plan regarding this problem in order to always provide the best electricity service to customers. By estimating the transformer load, an evaluation can be made as a lesson by PT. PLN (Persero) to start an effective and reliable operation. The estimation method used in this research is the ANFIS method which can recognize and study a pattern and can model a problem so that it can take a decision without having to be assisted by a mathematical modeling. The historical data used is the historical data of the 150 kV Tangerang Baru GI transformer load from 2018 to 2021 which is processed in the MATLAB software. The estimated load transformers are transformers 1, 2 and 3 with a capacity of 60 MVA each. The available data is univariate data, but generally ANFIS processes multivariate data, so from here there is a change in data from univariate data to multivariate data and fixed load estimates can be carried out to estimate the long-term load of the transformer from 2022 to 2031. This shows the ANFIS method can estimate the incidence with a MAPE value of 0.4002%.
The soaring demand for electricity consumption that occurs every year makes PT. PLN (Persero) as an electricity supplier must have a plan regarding this problem in order to always provide the best electricity service to customers. By estimating the transformer load, an evaluation can be made as a lesson by PT. PLN (Persero) to start an effective and reliable operation. The estimation method used in this research is the ANFIS method which can recognize and study a pattern and can model a problem so that it can take a decision without having to be assisted by a mathematical modeling. The historical data used is the historical data of the 150 kV Tangerang Baru GI transformer load from 2018 to 2021 which is processed in the MATLAB software. The estimated load transformers are transformers 1, 2 and 3 with a capacity of 60 MVA each. The available data is univariate data, but generally ANFIS processes multivariate data, so from here there is a change in data from univariate data to multivariate data and fixed load estimates can be carried out to estimate the long-term load of the transformer from 2022 to 2031. This shows the ANFIS method can estimate the incidence with a MAPE value of 0.4002%.
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