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Journal : Andalasian International Journal of Applied Science, Engineering, and Technology

Application of the Average Based Fuzzy Time Series Model in Predictions Seeing the Use of Travo Substations Ula, Mutammimul; Satriawan, Ivan; Fhonna, Rizky Putra; Hasibuan, Arnawan
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 3 No. 1 (2023): March 2023
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v3i01.74

Abstract

PT PLN expects the delivery of information quickly in predicting the capacity of transformer substations in each region in view of population growth in industrial areas. Unbalanced and overloaded electricity that is not suitable for the capacity of the transformer substation so that the results of this study are more optimal in predicting the usage load at the transformer substation using the methodaverage based fuzzy time series. The application of this method can provide fast and accurate information in accordance with consumer expectations in predicting each need in each area and the number of managed substations. The capacity of the substation can be seen in 1 phase and 3 phase with the percentage of loading quickly and precisely with the current transformer card system. The purpose of the transformer distribution in this study is to look at reducing high voltage to low voltage, so that the voltage used is in accordance with the customer's electrical equipment rating or the load rating used by all consumers in each region. The research methodology is to determine the placement of distribution transformer locations that are not suitable which can affect the end voltage drop on consumers or the drop/drop in consumer line end voltage and view complete data from the specifications of the distribution transformers along with the locations of distribution transformers that can be managed through Development of a mobile device-based Distribution Transformer Recording System at PT PLN. The results of this study in transformer power 100 consumption 99.43, unbalanced 28%, fuzzification A8, FLRG G8, forecasting results 10.69 with a Mape forecast value of 0.57%. Furthermore, power consumption of transformer 50 is 36.70, unbalanced 78%, fuzzification A6, FLRG G6, forecasting results 23.91 with Mape 1.11%. Results with the smallest mape with each travo travo 50 in each usage area 28.43, unbalanced 26%, fuzzification A5, FLRG G5, forecasting results 23.91 with Mape 0.28%. The results of this study can determine the location of the transformer along with unbalance, overload and the estimated amount of power consumption load for the use of transformer substations in an area, especially the ULP PT.PLN area for each region in PT.PLN (Persero) Krueng Geukuh. Then the results of this study can be used as a reference for monitoring population growth with excessive transformer power loads (overload) so that later you can install new transformer substations with a capacity according to the number of customers
Application of the Average Based Fuzzy Time Series Model in Predictions Seeing the Use of Travo Substations Ula, Mutammimul; Satriawan, Ivan; Fhonna, Rizky Putra; Hasibuan, Arnawan
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 3 No. 1 (2023): March 2023
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v3i01.74

Abstract

PT PLN expects the delivery of information quickly in predicting the capacity of transformer substations in each region in view of population growth in industrial areas. Unbalanced and overloaded electricity that is not suitable for the capacity of the transformer substation so that the results of this study are more optimal in predicting the usage load at the transformer substation using the methodaverage based fuzzy time series. The application of this method can provide fast and accurate information in accordance with consumer expectations in predicting each need in each area and the number of managed substations. The capacity of the substation can be seen in 1 phase and 3 phase with the percentage of loading quickly and precisely with the current transformer card system. The purpose of the transformer distribution in this study is to look at reducing high voltage to low voltage, so that the voltage used is in accordance with the customer's electrical equipment rating or the load rating used by all consumers in each region. The research methodology is to determine the placement of distribution transformer locations that are not suitable which can affect the end voltage drop on consumers or the drop/drop in consumer line end voltage and view complete data from the specifications of the distribution transformers along with the locations of distribution transformers that can be managed through Development of a mobile device-based Distribution Transformer Recording System at PT PLN. The results of this study in transformer power 100 consumption 99.43, unbalanced 28%, fuzzification A8, FLRG G8, forecasting results 10.69 with a Mape forecast value of 0.57%. Furthermore, power consumption of transformer 50 is 36.70, unbalanced 78%, fuzzification A6, FLRG G6, forecasting results 23.91 with Mape 1.11%. Results with the smallest mape with each travo travo 50 in each usage area 28.43, unbalanced 26%, fuzzification A5, FLRG G5, forecasting results 23.91 with Mape 0.28%. The results of this study can determine the location of the transformer along with unbalance, overload and the estimated amount of power consumption load for the use of transformer substations in an area, especially the ULP PT.PLN area for each region in PT.PLN (Persero) Krueng Geukuh. Then the results of this study can be used as a reference for monitoring population growth with excessive transformer power loads (overload) so that later you can install new transformer substations with a capacity according to the number of customers
Co-Authors . Zulfan Abadi, Sabani Ajuirai, Ajuirai Ali, Muhammad Abdullah Ananda Faridhatul Ulva Andrian, Deny Angelina, Difa Angga Pratama Aqmal, Jamalul Arief Fazillah Arif, Abdul Halim Arnawan Hasibuan Azka R, Rifqy Dahlan Abdullah Defri Salwan Desvina Yulisda Difa Angelina Dinanti, Intan Putri Dinda Saima Agustina Siregar Dzil Ikram, Muhammad Fadhli EDI YUSUF, EDI Fadhliani, Fadhliani Fidyatun Nisa Hafizh Al Kautsar Aidilof Hidayat, Amam Taufiq Himmatur Rijal ilham - sahputra Irhamna, Ayu Jamalul Aqmal Khaira, Miftahul Kuswoyo, Muhammad Riko Liana, Fara Lidya Rosnita Maida, Eka Maynizar Fadli Melia Rahma Amini Simanjuntak Muhammad Daud Muhammad Ikhwani Muhammad Zikri Muksalmin, Muksalmin Mukti Qamal Munirul Ula Mutammimul Ula Muthmainnah Muthmainnah Muthmainnah Muthmainnah Muzakir Nur Nadia Humaira Nasruddin Nasruddin nisa nurkhaira Nurdin Nurdin Nurfebruary, Nanda Sitti Putri Rangkuti, Salsabilah Qudrah, Ferdiansyah Rafika Rahma Fitria Rahma, Mutiara Ramlan, Rifqi Rasuna Renika, Vina Rizki Setiawan Rizki Suwanda rozakira zulfa Safwandi Safwandi Sahputra, Ilham Said Fadlan Anshari Salwan, Defri sanjani, lihan Satriawan, Ivan Sayed Fachrurrazi Selian, Riko Ardiansyah Sendi Pria Ardana Setiawan, Rio Siregar, Dinda Saima Agustina Siregar, M. Fredyansyah Sitepu, Yuni SariBr Subhi, M Ramadhan Sujacka Retno Syibral Malasyi, Syibral Teuku M. Arief Afwan Tulus Setiawan Ulva Ilyatin Usnawiah Usnawiah Veri Ilhadi Wardani, Putri Talitha Wiwik Handayani Yesy Afrillia Yulisda, Desvina Zalfie Ardian Zara Yunizar Zulfan