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Analisa Tegangan Jatuh pada Jaringan Distribusi 20 kV PT.PLN Area Rantau Prapat Rayon Aek Kota Batu Suprianto Suprianto
JET (Journal of Electrical Technology) Vol 3, No 2 (2018): JET Edisi Juni
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v3i2.544

Abstract

Electrical voltage is one of the magnitude of electricity that very influential on a power system as well as a determinant factor  inelectrical power system quality. Over voltage, under voltage and voltage stability, they are the main problem in the elecrical voltage problem, this research aims to evaluate the voltage drop in medium voltage distribution system 20 kV in PT.PLN Area Rantau Prapat Rayon Aek Kota Batu this research is expected to be a reference to make improvement the voltage drop and increasing  quality of electrical power service better. This research was conducted on a radial network of primary distribution systems where voltage drop was observed  at three types of buses in the system ie the main buses, the sub ofmain buses and the lateral buses. The data collection is done according to the data that needed  in analyzing the voltage drop with load flow simulation using Electrical Transient Analysis Program software, the result that obtained then validated by comparing the simulation result with the manual calculation according to related formulas and applicable for the calculation of voltage drop, from the simulation results show that the greatest voltage drop when outside of peak load time is 91,52% or in the magnitude of the voltage is 18,303 kV, this means the voltage drop is 8,49%. For the peak load time the greatest voltage drop is 83,9%, or in the voltage magnitude is 16,779 kV, this means the voltage drop of 16,11% exceeds the standard limit for the maximum allowable drop voltage of 10%. This is likely due to the line cableis loaded for power flow at maximum load,  the quality of line cables is bad or the junction of cable  is lax.
Optimization of Capacity and Performance Analysis of Rooftop Solar Power Plants Using MATLAB Based on Load Profiles and Solar Irradiance at Politeknik Negeri Medan Cholis Cholish; Abdullah Abdullah; Suprianto Suprianto; Surya Hardi; Irfan Nofri; Abdul Azis Hutasuhut; Zarina Binti Ismail
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13817

Abstract

The demand for electrical energy in the education sector continues to increase along with the growing use of electrical equipment, laboratories, and academic activities. Politeknik Negeri Medan, as a vocational education institution, has relatively high electrical energy consumption; therefore, a more efficient and environmentally friendly alternative energy source is required. This study aims to analyze and optimize a rooftop Solar Power Plant (SPP) system using MATLAB based on building load profiles and solar irradiance intensity in Medan City. The research method was carried out through the collection of building electrical load profile data, solar irradiance data, and rooftop area measurements. Simulation and optimization of the rooftop photovoltaic system were conducted using MATLAB to analyze system capacity, number of solar panels, energy performance, system efficiency, solar panel distribution, and potential electrical energy savings. The results showed that the total electrical energy demand of the Politeknik Negeri Medan building was 5,410 kWh/day with a total installed power of 1,352.57 kW. Based on the simulation results, the optimum photovoltaic system capacity was 1,516.25 kWp with 2,757 solar panels of 550 Wp capacity each. The photovoltaic system was able to generate relatively stable electrical energy throughout the year, with solar irradiance having a significant influence on the system output energy. The analysis also showed that the effective rooftop area of 11,601.61 m² was sufficient for solar panel installation requiring an area of 8,491 m². In addition, the photovoltaic system has the potential to reduce electricity costs by approximately IDR 2.81 billion per year. This study demonstrates that the implementation of a rooftop photovoltaic system using MATLAB at Politeknik Negeri Medan is feasible from technical, economic, and environmental perspectives. The use of MATLAB improves the quality of photovoltaic system analysis through detailed and systematic energy performance simulations and solar panel configuration optimization
SISTEM PENDUKUNG KEPUTUSAN CERDAS UNTUK MANAJEMEN ENERGI PERKOTAAN YANG MENGINTEGRASIKAN PV SURYA DAN PENGISIAN KENDARAAN LISTRIK Suprianto; Surya Hardi; Aprima Anugerah Matondang
ATDS Saintech Journal of Engineering Vol. 7 No. 1 (2026): Edisi Juni
Publisher : Akademi Teknik Deli Serdang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Urbanisasi yang cepat dan meningkatnya adopsi kendaraan listrik (EV) menghadirkan tantangan signifikan bagi manajemen energi perkotaan, terutama dalam menyeimbangkan integrasi energi terbarukan dan stabilitas jaringan. Studi ini mengusulkan kerangka Sistem Pendukung Keputusan Cerdas (IDSS) yang mengintegrasikan peramalan pembangkitan fotovoltaik surya (PV), penilaian ketahanan jaringan, dan optimasi pengisian EV untuk mendukung perencanaan energi perkotaan yang berkelanjutan. Kerangka ini menggunakan pendekatan pembelajaran mesin hibrida yang menggabungkan Random Forest dan Long Short-Term Memory untuk peramalan PV, mencapai akurasi 87,6% dengan MAPE sebesar 7,6%. Penilaian ketahanan jaringan menggunakan ATP-EMTP mengungkapkan deviasi tegangan sebesar 0,18 p.u. selama skenario sambaran petir. Optimasi pengisian EV mencapai pengurangan beban puncak sebesar 23,4% dan pemanfaatan PV sebesar 84,2%. Kerangka IDSS terintegrasi memungkinkan pengambilan keputusan holistik dengan mempertimbangkan pertukaran antara pemanfaatan PV, stabilitas jaringan, dan kenyamanan pengisian daya. Penelitian ini berkontribusi pada manajemen energi perkotaan berbasis AI dan memberikan wawasan praktis bagi para pembuat kebijakan di negara-negara berkembang.
Co-Authors Abdul Azis Hutasuhut Abdul Rahim Bin Ridzuan Abdullah Adam, Muhammad Ahmad Sumantri - Aprima Matondang Arridina Susan Silitonga - Bakti, Imam Rangga Batubara, Febrin Aulia Bunda, Yola Permata Cholis Cholish Cholish Cholish Haq, Moh Zainul Hardi, Surya Hulu, Fitria Nova Irfan Nofri Maharani Putri mardiana Muhammad Fadlan Siregar Muhammad Fadlan Siregar Muhammad Rusdi Muhammad Rusdi dan Afritha Amelia - Nooritawati Md Tahir Pius Fernando Hutauruk Priansus Rhein Rumahorbo Roslina, Roslina Zarina Binti Ismail