Osea Zebua
Jurusan Teknik Elektro Universitas Lampung, Bandar Lampung Jl. Prof. Sumantri Brojonegoro No.1 Bandar Lampung 35145

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OPTIMASI KAPASITAS BANK KAPASITOR UNTUK MEREDUKSI RUGI-RUGI DAYA PADA PENYULANG WORTEL MENGGUNAKAN METODE GREY WOLF OPTIMIZER (GWO) Christopher Theophilus Prayogo; Osea Zebua; Khairudin Hasan
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 13 No. 3 (2019)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v13n3.2125

Abstract

Intisari — Jarak yang jauh antara sisi penyuplai energi listrik dan sisi konsumen (beban) pada jaringandistribusi menimbulkan permasalahan seperti meningkatnya rugi-rugi daya di sepanjang saluran dan jatuhtegangan. Pemasangan kapasitor adalah salah satu solusi untuk meminimalkan rugi-rugi daya sekaligusmemperbaiki profil tegangan. Tujuan dari penelitian ini adalah mencari nilai kapasitas optimal daribeberapa bank kapasitor yang dipasang pada jaringan distribusi untuk meminimisasi rugi-rugi daya aktifmenggunakan metode Grey Wolf Optimizer (GWO). Lokasi penempatan bank kapasitor ditentukan denganmenggunakan metode faktor sensitivitas rugi-rugi atau Loss Sensitivity Factor (LSF). Studi kasus yangdigunakan adalah jaringan distribusi 20 kV Penyulang Wortel, di Gardu Induk Menggala, ProvinsiLampung. Simulasi penentuan lokasi penempatan dan optimasi kapasitas bank kapasitor dilakukan denganmenggunakan perangkat lunak MATLAB. Hasil simulasi menunjukkan bahwa lokasi optimal penempatanempat bank kapasitor menggunakan metode LSF adalah pada bus 42, 51, 58 dan 60 dan kapasitas optimalbank kapasitor pada bus-bus tersebut yang diperoleh dengan menggunakan metode GWO masing-masingadalah sebesar 0,15 MVAR, 0,45 MVAR, 0,15 MVAR, dan 0,15 MVAR. Rugi-rugi daya aktif yang diperolehsetelah pemasangan bank kapasitor adalah sebesar 0,1041 MW atau berkurang sebesar 23 persen dari nilai rugirugi daya aktif sebelum pemasangan bank kapasitor yakni 0,1352 MW. Nilai tegangan minimum yangdiperoleh setelah pemasangan bank kapasitor adalah 0,944 pu dan memperbaiki profil tegangan dari nilaitegangan minimum sebelum pemasangan bank kapasitor yakni sebesar 0,916 pu.Kata-kata kunci - optimasi kapasitas, capacitor bank, Grey Wolf Optimizer, rugi-rugi daya aktif, faktorsensitivitas rugi-rugi.Abstract — Long distance between the electricity supply side and the consumer side (load) on the distributionnetwork can cause problems such as increasing power losses along the line and voltage drop. Installingcapacitors is one solution to minimize power losses while improving the voltage profile. The aim of this researchis to find the optimal capacity value of several capacitor banks installed in the distribution network to minimizeactive power losses using the Grey Wolf Optimizer (GWO) method. The location of the capacitor bank placementis determined by using the Loss Sensitivity Factor (LSF) method. The case study used is a 20 kV distributionnetwork of Wortel Feeders, in Menggala substation, Lampung Province. Simulation of determining theplacement location and optimization of capacitor banks capacity is performed using MATLAB software. Thesimulation results show that the location of four capacitor banks using the LSF method is on buses 42, 51, 58and 60 and the optimal capacitor bank capacity on those buses obtained using the GWO method are 0.15 MVAR,0.45 MVAR, 0.15 MVAR, and 0.15 MVAR, respectively. The active power losses obtained after the installation ofcapacitor bank are equal to 0.1041 MW or reduced by 23 percent from the value of active power losses before theinstallation of capacitor bank which is 0.1352 MW. The minimum voltage value obtained after the installation ofcapacitor bank is 0.94 pu and improves the voltage profile of the minimum voltage value before the installationof capacitor bank which is equal to 0.916 pu.Keywords— capacity optimization, capacitor bank, Grey Wolf Optimizer, active power losses, Loss SensitivityFactor.
Analisis Rugi-Rugi (Losses) Transformator Daya 150/20 KV di PT. PLN (Persero) Gardu Induk Sutami ULTG Tarahan Hendri Elnizar; Herri Gusmedi; Osea Zebua
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 15 No. 2 (2021)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v15n2.2197

Abstract

In general, in the distribution of electrical energy, there will always be losses. In a transformer, there are two types of losses, namely technical losses and non-technical losses. Non-technical losses are caused by things outside of system performance, such as accidents, natural disasters, human negligence, and so on. Meanwhile, technical losses are caused by two things, namely copper losses and core losses. Technical losses in the transformer cause the efficiency of the electricity supply to be low. Therefore the author will make a thesis entitled "Analysis of Losses Power Transformer 150/20 KV in PT PLN (PERSERO) Substation Sutami ULTG Tarahan" The analysis was carried out in July 2019, which aims to determine the amount of losses - losses on the transformer every day within a month, as well as calculating the percentage increase in losses due to changes in normal load current to peak load current. The calculation results show that the highest Losses on Transformer 1 falls on July 23, 2019, amounting to 4,588,204 kw. The highest loss on Transformer 2 falls on July 11, 2019, amounting to 16,246,884 kw. Then the magnitude of the change in the increase in current from normal load current to peak load current on Transformer 1, will cause losses to increase by 3.66 percent, and the amount of change in the increase in current from normal load current to peak load current on Transformer 2, will cause losses to increase by 2,38 percent. Keywords: Transformer, losses, copper losses, core losses