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All Journal Dia: Jurnal Administrasi Publik Conference on Innovation and Application of Science and Technology (CIASTECH) Dimasejati: Jurnal Pengabdian Kepada Masyarakat E-JOINT (Electronica and Electrical Journal Of Innovation Technology) Jurnal Fortech Mestro
Siswanto, Agus
Electrical Engineering Study Program, Faculty Of Engineering, Universitas 17 Agustus 1945 Cirebon
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Planning of Low Voltage Electricity Distribution at Griya Arjuna Kejuden Housing Deni Wachyudin; Amy Fahmy Ardiansyah; Mohammad Soleh; Agus Siswanto
Mestro Vol 4 No 01 (2022): Edisi Juni
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47685/mestro.v5i01.377

Abstract

In a low-voltage power distribution system, there are often disturbances that result in disruption of electricity distribution to customers, resulting in losses for customers and PLN. The problem that often occurs is the occurrence of voltage drops and power losses so that in planning the construction of a low-voltage electric power distribution network, it is necessary to anticipate the occurrence of these problems. This research is expected to be used as a lesson for the creation of a low-voltage electric power distribution network with suitable and environmentally friendly construction and with low investment costs. collected data by visiting the location to conduct a survey and obtain accurate data related to the state of the research location. The stages in planning the Low Voltage Electricity Distribution Network begin with a field survey to obtain the required data. The installed power for each unit is 1.300 VA, so the total installed power is 122,200 VA and the spare power is 5% of the installed power so that the total installed power is 128.310 VA. during peak load times it is estimated that power consumption will only absorb 80% or 97,760VA. The required substation is a Portal Type Pole with a transformator capacity is 160kVA. The total breakdown of the electricity distribution network budget at the Griya Arjuna Kejuden is IDR 382,333,141.
Flower Polination Algorithm Sebagai Optimalisasi LFC Pada Hybrid Pembangkit Wind-Diesel Machrus Ali; Agus Siswanto; Mudofar Baehaqi
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5106

Abstract

As input power, the amount of wind and wind speed greatly influences the wind power generation system. A combination of a wind-diesel power generation system is needed to obtain optimal power quality. A hybrid system is a controlled network of multiple renewable energy generators such as wind turbines, solar cells, micro-hydro, and so on. Gain settings that are not optimal and the time constant is small in Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, the wind-diesel system is controlled with a PID controller. Setting the gain value of the PID is still in the conventional method, so it is difficult to get the optimal value. In this research, a control design was implemented using the Smart Method to find the optimum value of the Proportional Integral Derivative (PID) based on the FPA (Flower Pollination Algorithm). For comparison, methods were used without control methods, conventional PID methods, PID Auto tuning methods, and FPA (Flower Pollination Algorithm) methods. Wind-diesel modeling uses transfer function diagrams of wind and diesel turbines. This study compares several uncontrolled methods and conventional PID, PID-Auto tuning, and PID-FPA. The results of the research that has been carried out show that the smallest undershoot is -1.187.10-04 for PID-FPA, the smallest overshot is 0 for PID-FPA, and the fastest settling time is 9.827 s for PID-FPA. So it can be concluded that PID-FPA is the best controller in this research. This research can later be continued using other artificial intelligence methods.
Co-Authors . Nuryanto Adriyani, Ria Amy Fahmy Ardiansyah Arifudin Arifudin Deni Wachyudin Erfan Subiyanta Erna Erna Ferry Irmansyah Junaedi Junaedi M. Luthfi Abdullah Machrus Ali Mohammad Soleh Mohammad Soleh Mudofar Baehaqi Mudofar Baehaqi Muhamad Soleh Muhamad Soleh Muhammad Rizal Ma’arif Munaji Munaji Petra Aprilia Pandiksa Santi Rachmat Indrianto Rachmat Indrianto Rendy Chandra Nova Rizaldi Lukman Imani Sugeng Suprijadi Taufik Susanto Yepie Dwi Vaktiyan Yogi Permana