Articles
<![CDATA[Voltage Stability Index Improvement In Radial Distribution Systems Using Capacitors ]]>
<![CDATA[Doni, Donata]]>;
<![CDATA[Gianto, Rudy]]>;
<![CDATA[Abidin, Zainal]]>
<![CDATA[ Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 12, No 1: April 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/j3eit.v12i1.76767
<![CDATA[The radial distribution network system is an important part of the electric power system because this distribution system is useful for distributing electricity to loads (customers). the existence of voltage drops and electric power losses in the provision of electrical energy is something that cannot be avoided. There are several ways that can be done to improve voltage, one of which is the installation of Shunt capacitors in the primary distribution network. Voltage drop can occur in the power system due to the loss of voltage stability in the radial distribution network. This study analyzes the value of voltage stability index in 33-bus IEEE and 69-bus IEEE with current injection method power flow analysis. In the 33-bus IEEE system, the existing condition obtained the minimum bus voltage of 0.9131 pu or 11.560 kV occurs at bus-18. By installing 2 units of shunt capacitors in the 33-bus IEEE system, it can minimize active power losses from 202.464 kW to 157.153 kW or by 22.38%. In the existing 69-bus IEEE system, the minimum bus voltage of 0.9092 pu or 11.511 kV occurs at bus-65. With the installation of 1 unit of shunt capacitor, the voltage at the installation of 3 units of shunt capacitors, the voltage at bus-65 is 0.9514 pu or 12.045 kV, which has increased by 0.534 kV. By installing 3 units of shunt capacitors in the 69-bus IEEE system, it can minimize active power losses from 224.698 kW to 22.994 kW or by 5.21%..]]>
<![CDATA[Planning Study Of On-Grid Based Solar Power Plant At Senior High School Of Negeri 1 Meliau ]]>
<![CDATA[Trivaldo, Angga]]>;
<![CDATA[Husin, Fitriah]]>;
<![CDATA[Gianto, Rudy]]>
<![CDATA[ Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 12, No 1: April 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/j3eit.v12i1.75737
<![CDATA[Photovoltaic power plants (PVPs) are an environmentally friendly renewable energy source that can ensure sustainable electricity supply for schools while reducing dependence on traditional energy sources, which are not only expensive but also often harmful to the environment. Although the construction of solar power plants requires a large initial investment, technical planning such as the location of solar panels, system capacity, and integration into the existing power grid are important factors that need to be considered. This solar power plant is built on the roof of an office building that has the longest roof at 34 meters. It will be built using monocrystalline solar panels with a capacity of 670 Wp, an inverter with a capacity of 5.000 W, a solar charge controller with a capacity of 38 A, and lithium-ion batteries with a capacity of 400 Ah. This solar power plant will be planned to operate for 25 years with generated energy of 10.063 Wp.]]>
<![CDATA[Three-phase model of SCIG-based variable speed wind turbine for unbalanced DSLF analysis ]]>
<![CDATA[Yusuf, Ismail]]>;
<![CDATA[Gianto, Rudy]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 2: June 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i2.pp351-361
<![CDATA[Steady state performances of the electric power distribution system are normally assessed or evaluated based on load flow analysis. To properly carry out the analysis, a valid steady state load flow model of each distribution system component, including the wind power plant (WPP), needs to be developed. The present paper proposes a method for modeling and integrating squirrel cage induction generator (SCIG)-based variable speed WPP into a three-phase unbalanced distribution system load flow (DSLF) analysis. The proposed method is based on a single-phase T-circuit model of fixed speed WPP, which has successfully been applied to balanced electric power systems. In the present work, the single-phase T-circuit model is extended and modified to be used in steady state load flow analysis of three-phase unbalanced distribution systems embedded with SCIG-based variable speed WPP. Results of the case studies confirm the validity of the proposed method.]]>
<![CDATA[Multiple-node model of wind turbine generating system for unbalanced distribution system load flow analysis ]]>
<![CDATA[Gianto, Rudy]]>;
<![CDATA[Khwee, Kho Hie]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v13i2.5461
<![CDATA[This paper discusses a method to integrate a wind turbine generating system (WTGS) into a three-phase unbalanced distribution system load flow (DSLF) analysis. The proposed method is based on the single-phase multiple-node model. In the present work, the single-phase multiple-node model is extended to a three-phase multiple-node model to facilitate the load flow analysis of a three-phase unbalanced power system network. The multiple-node model (i.e., three-node model) will only modify the load flow analysis by introducing two lines and two load buses to the distribution system network where the WTGS is installed. Thus, a standard three-phase load flow program can be employed to compute the unknown quantities in the DSLF problem formulation. The proposed method is verified by incorporating the model into the load flow analysis of three-phase distribution networks. The investigation uses two representative distribution networks (i.e., 19-bus and 25-bus networks). The results of the study confirm the validity of the proposed method.]]>
<![CDATA[ENERGY AUDIT ON LIGHTING AND AIR CONDITIONING SYSTEMS AT AL-AZHAR ISLAMIC SCHOOL ]]>
<![CDATA[Khabaranus, Yusvian]]>;
<![CDATA[Purwoharjono, Purwoharjono]]>;
<![CDATA[Gianto, Rudy]]>
<![CDATA[ Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 1: June 2023 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/telectrical.v1i1.69827
<![CDATA[Based on Government Regulation No. 70 of 2009 concerning energy conservation, it is stated that the use of energy by energy sources and users must be carried out sparingly and efficiently. Based on these regulations, this thesis was made with the aim of analyzing opportunities for saving electrical energy in the Islamic Middle School Al-Azhar 17 Pontianak and Islamic High School Al-Azhar 10 Pontianak buildings. Data collection was carried out from December 2022 to January 2023. The results of the analysis obtained 2 recommendations for saving electricity. In the first option, for the lighting system it is done by changing TL lamps to LEDs, requiring 240 LED lamps and for the air conditioning system it is done by changing the refrigerant to Musicool MC-22. Estimated electricity savings of 17%. The payback period is 2 years, 3 months. In the second option, 446 LED lamps were also replaced with TL lamps to LEDs. For the air conditioning system, the AC is replaced with an inverter type. Estimated electricity savings of 61.13%. The payback period is 2 years, 2 months. From the results of this analysis, energy conservation efforts to get electricity savings and cost savings are very feasible in these schools.]]>
<![CDATA[TRANSFORMER RELIABILITY ANALYSIS USING THE WEIBULL DISTRIBUTION METHOD (CASE STUDY OF THE POWER TRANSFORMER AT THE KOTA BARU PONTIANAK SUBSTATION) ]]>
<![CDATA[Chaniago, Muhammad Ilham]]>;
<![CDATA[Purwoharjono, Purwoharjono]]>;
<![CDATA[Gianto, Rudy]]>
<![CDATA[ Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 2: October 2024 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/telectrical.v2i2.83889
<![CDATA[Reliability is the probability that a component or system will be able to operate according to the desired function for a certain period of time when used under specified operating conditions. To determine reliability in operational terms, a more specific definition is needed, namely a description of the failure that is not confusing and can be observed, identification of the time unit, and the system being observed must be in normal environmental and operating conditions. Transformer reliability is greatly influenced by two things, namely disruption and maintenance of the transformer. Scheduled and regular maintenance can increase transformer reliability, however incomplete and poorly scheduled maintenance will result in the transformer not operating or serving more often. The Weibull distribution is a distribution that has an important role, especially in matters of reliability and maintainability analysis. The Weibull distribution is often used as an approach to determine the characteristics of the damage function because changes in value will result in the Weibull distribution having certain properties or being equivalent to a certain distribution. This distribution is a versatile distribution that can take on the characteristics of other types of distribution, based on the values of the form parameters. The Weibull distribution has several reliability indices such as failure rate and MTTF (Mean Time To Failure). Based on the calculation results, power transformer 1 has an average failure rate of 0.0015 times/day, and an MTTF of 714.0685 days or 1.9564 years. Meanwhile, power transformer 3 has a failure rate of 0.0009 times/day, and an MTTF of 1587.6033 days or 4.3496 years. It can be said that power transformer 3 has much better failure rate and MTTF values than power transformer 1. The results shows that power transformer 3 shows better overall performance with a lower failure rate and higher MTTF.]]>
<![CDATA[EVALUASI SISTEM INSTALASI PENERANGAN DAN PENDINGIN RUANGAN DI SMKN 1 NGABANG ]]>
<![CDATA[Saputra, Febi]]>;
<![CDATA[Gianto, Rudy]]>;
<![CDATA[-, Junaidi]]>
<![CDATA[ Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 10, No 2: Juli 2022 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/j3eit.v10i2.57146
<![CDATA[Evaluasi instalasi listrik terhadap suatu bangunan adalah hal yang perlu dilakukan agar kualitas dari instalasi listrik tersebut tetap terjaga kondisi dan keandalannya. Penelitian ini bertujuan untuk mengevaluasi sistem penerangan dan pendingin ruangan, mengetahui intensitas penerangan untuk mendapatkan hasil, menentukan besar kapasitas AC dalam ruangan, Dapat menghitung kebutuhan daya total pada SMKN 1 Ngabang. Dari hasil perhitungan intensitas penerangan pada sebuah ruangan mendapatkan hasil dari ruangan laboratorium komputer adalah 5 lampu dan perhitungan besar kapasitas AC pada ruangan laboratorium komputer didapat hasil 16.316,96 Btu/h. didapat besar pengaman MCB dengan daya total lampu dan AC pada laboratorium komputer adalah 11,20 A]]>
<![CDATA[STUDI PENGARUH PEMBANGKIT LISTRIK TENAGA ANGIN TERHADAP TEGANGAN DAN RUGI-RUGI DAYA SISTEM DISTRIBUSI TENAGA LISTRIK ]]>
<![CDATA[Ghassan, Ariq Naoval]]>;
<![CDATA[Gianto, Rudy]]>;
<![CDATA[-, Junaidi]]>
<![CDATA[ Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 10, No 2: Juli 2022 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/j3eit.v10i2.57237
<![CDATA[Pembangkit listrik tenaga angin merupakan jenis pembangkit energi terbarukan yang paling efektif dikarenakan energi angin merupakan energi yang biayanya paling kompetitif bila dikonversikan ke energi listrik. Penelitian ini menyelidiki pengaruh pembangkit listrik tenaga angin terhadap tegangan dan rugi-rugi daya sistem distribusi tenaga listrik pada berbagai kondisi beban sistem distribusi. Data yang digunakan merupakan sistem distribusi 33 Bus. Jaringan distribusi ini memiliki tegangan sebesar 12.66 kV dengan total beban rata-rata sebesar 3715 kW dan 2300 kVAR. Sistem ini kemudian dimodifikasi dengan menambahkan PLTAn pada bus 33 melalui transformator penaik tegangan (Step-up transformer) yang memiliki impedansi 0,1 pu. Perhitungan besar tegangan setiap bus serta rugi-rugi daya sistem menggunakan program matlab. Secara umum instalasi PLTAn pada sistem distribusi akan memperbaiki profil tegangan sistem, membaiknya profil tegangan ini dikarenakan dengan adanya PLTAn, jatuh tegangan pada saluran-saluran distribusi dapat dikurangi. Pemasangan PLTAn juga akan mereduksi rugi-rugi daya pada saluran distribusi. Lebih lanjut, dengan adanya PLTAn, suplai daya dari substasiun yang biasanya berasal dari sumber energi tak terbarukan, dapat dikurangi karena sebagian beban dicatu oleh PLTAn.]]>
<![CDATA[PERHITUNGAN ARUS HUBUNG SINGKAT SALURAN KABEL BAWAH TANAH 20 kV DI KOTA PONTIANAK ]]>
<![CDATA[Darmawan, Afif]]>;
<![CDATA[Gianto, Rudy]]>;
<![CDATA[-, Purwoharjono]]>
<![CDATA[ Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 10, No 2: Juli 2022 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/j3eit.v10i2.57147
<![CDATA[Penelitian ini adalah untuk menghitung besar arus gangguan hubung singkat pada Saluran Kabel Bawah Tanah (SKTM) 20 kV di Kota Pontianak. Gangguan hubung singkat yang mungkin terjadi di dalam jaringan distribusi ada 3 (tiga), yaitu: gangguan hubung singkat 3 fasa, gangguan hubung singkat fasa ke fasa dan gangguan hubung singkat 1 fasa ke tanah. Dengan menulis penelitian ini dapat mengetahui besar arus hubung singkat dan acuan dalam penyetingan peralatan proteksi saluran kabel bawah tanah 20 kV di Kota Pontianak. Perhitungan ini dilakukan pada penyulang Mawar 1, Dahlia, Megamall, Krisan 1, Kenanga 1, Teratai 1, dan Sakura dengan asusmsi titik gangguan hubung singkat pada 25%, 50%, 75%, dan 100% dari panjang penyulang. Didapat hasil perhitungan gangguan arus hubung singkat SKTM di Kota Pontianak dengan bentuk kurva linier. Dapat disimpulkan bahwa arus hubung singkat tiga fasa lebih besar dari fasa-fasa maupun fasa-tanah. Semakin dekat titik gangguan dengan sumber, maka semakin besar arus gangguan yang dapat terjadi. Dan semakin kecil kapasitas trafo, maka arus gangguan hubung singkat juga akan semakin kecil.]]>
<![CDATA[OPTIMASI BIAYA PEMBANGKITAN UNIT PLTU BERBAHAN BAKAR BATUBARA MENGGUNAKAN METODE LAGRANGE ]]>
<![CDATA[Mawarlisti, Brenda]]>;
<![CDATA[Gianto, Rudy]]>;
<![CDATA[-, Yandri]]>
<![CDATA[ Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) Vol 10, No 2: Juli 2022 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/j3eit.v10i2.60197
<![CDATA[Biaya bahan bakar yang besar membuat biaya operasi pembangkitan menjadi tidak ekonomis. Oleh karena itu diperlukan cara optimalisasi untuk meminimalkan biaya operasi dan penjadwalan ekonomis pada pembangkit. Besarnya kebutuhan suatu beban, karakteristik suatu pembangkit, batas maksimum dan minimum kapasitas pembangkit, serta pengeluaran untuk bahan bakar setiap unit pembangkit berpengaruh secara ekonomis pada pengoperasian pembangkit. Tujuan penelitian ini untuk memperoleh biaya pembangkitan seminimum mungkin pada suatu kondisi pembebanan tertentu pada sistem tenaga listrik. Data pembebanan yang digunakan yaitu sistem 5 unit dan sistem 10 unit generator pembangkit.Metode yang digunakan adalah metode Lagrange dan perangkat lunak MATLAB secara ekonomis dan non-ekonomis. Hasil akhir penelitian ini menunjukkan bahwa, untuk sistem 5 unit dengan menggunakan metode Lagrange dan MATLAB sama-sama memiliki biaya pembangkitan yang ekonomis seperti pada saat beban 435 MW yang menghasilkan biaya pembangkitan sebesar $1250,8754/jam dengan selisih $13,6246/jam lebih murah dibandingkan metode non-ekonomis dengan biaya pembangkitan sebesar $1264,5/jam. Akan tetapi perhitungan metode Lagrange pada sistem 10 unit tidak dapat ditemukan seutuhnya, perhitungan hanya dapat dilakukan pada saat beban 1036 MW dengan biaya pembangkitan sebesar $59732,0886/jam dengan selisih $14438,5478/jam lebih murah dibandingkan metode non-ekonomis dengan biaya pembangkitan sebesar $74170,6364/jam. Dari hasil penelitian dapat disimpulkan bahwa metode Lagrange tidak selalu dapat menghasilkan solusi optimalisasi. Ini dikarenakan sistem terlalu besar sehingga pada saat perhitungan output masing-masing unit pembangkit terjadi pengulangan iterasi.]]>
