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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Journal of Electrical Technology RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Rang Teknik Journal Jurnal Darma Agung Journal of Renewable Energy, Electrical, and Computer Engineering Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) ATDS Saintech Journal of Engineering
Hardi, Surya
Departemen Teknik Elektro, Fakultas Teknik, Universitas Sumatera Utara, Jl. Dr. T. Mansyur No. 9, Medan, 20155, Sumatera Utara, Indonesia
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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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

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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.
Electrical Energy Audit of Operation Support Equipment at 200 MW Steam Power Plant Heri Priagusno; Surya Hardi; Rohana Rohana; Arnawan Hasibuan; Muzamir Isa
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.13521

Abstract

Based on data from the Pangkalan Susu steam power plant, the total amount of electrical energy used for generating process is on average 10% by the total of electrical energy generated by the plant. Increasing of electrical energy used will reduce the electrical energy sales to the network system. This research was carried out with reference according to ISO 50006:2014. This research is studies to the sample equipment with the largest rating capacity (significant energy user), such as boiler and turbine operation support equipment with on voltage 6 kV. The data of electrical energy in equipment is taken from the last 3 years historical data, namely in 2020, 2021 and 2022, Furthermore, the lowest point of electrical energy usage data was selected, then analyzed with the Linear Regression method to obtain the baseline Energy equation. The equation is used to conduct an analysis by comparing against the new data of the electrical energy in equipment, namely on April 1, 2023, the analysis showed that there was a waste of electrical energy of 164.12 kW equivalent to a fuel purchase loss of IDR 2,343,960 in 1 day. Furthermore, the baseline equation is used to input formulas in the AVEVA application (PI VISION). The Changes of electrical energy used will be monitored directly, so that if there is a waste of electrical energy, the operating pattern can be regulated directly to avoid energy waste in the electrical equipment and earn the fuel cost reduction of the Steam Power Plant.
Co-Authors Abdul Azis Hutasuhut Adam Pangestu Aprima Matondang Arnawan Hasibuan Cholis Cholish Deny Hermawan Hasdari H. Rangkuti Hefri Yuliadi Hefri Yuliadi Heri Priagusno Irfan Nofri Irwan S. Harahap M. Isa Muchsin Harahap Muhammad Fitra Zambak Muzamir Isa Oni Afriyandi Primasyukra, Mhd Aldi R. Harahap R. Harahap Riza R. Wirasari Riza Ria Wirasari Rohana Ismail S. Ahmad Suprianto Syafruddin HS. Syarqawi A. Siregar Zarina Binti Ismail