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All Journal International Journal of Electrical and Computer Engineering Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Teknik ITS Jurnal Ilmiah Kursor EMITTER International Journal of Engineering Technology Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JAVA Journal of Electrical and Electronics Engineering JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Fortech SinarFe7 Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Sewagati Jurnal Rekayasa elektrika Jurnal FORTECH

Ardyono Priyadi

Departemen Teknik Elekto, Fakultas Teknik Elektro, Institut Teknologi Sepuluh Nopember (ITS),Surabaya

Author-ID : 347723

Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Economic dan Emission Dispatch pada Sistem Kelistrikan 500 kV Jawa-Bali Menggunakan Composite Generation Cost Function dengan Metode Cuckoo Optimization Algorithm Daya Juang Mahaputra; Rony Seto Wibowo; Ardyono Priyadi
Jurnal Teknik ITS Vol 6, No 1 (2017)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Permintaan daya listrik yang terus bertambah menyebabkan daya listrik yang disuplai oleh pembangkit menjadi lebih besar. Kondisi beban yang harus disuplai pembangkit selalu berubah-ubah tiap waktunya, maka penyaluran energi listrik haruslah sesuai antara energi yang terbangkitkan oleh pembangkit dengan jumlah beban yang harus disuplai untuk memperoleh biaya pembangkitan yang paling ekonomis. Pada Tugas Akhir ini untuk mendapatkan biaya yang ekonomis akan dilakukan optimasi pembangkit sehingga didapatkan nilai pembangkitan yang paling optimal. Pengoptimalan pembangkit bertujuan untuk mendapatkan biaya operasional yang minimum tetapi tetap dapat memenuhi permintaan beban yang ada. Penggunaan generator dengan bahan bakar fosil dapat memberikan efek pencemaran lingkungan akibat emisi sisa dari pembakaran. Proses optimasi akan membuat jumlah bahan bakar yang digunakan dapat diminimalisir sehingga akan mengurangi emisi yang dihasilkan oleh pembangkit.

PARTICLE SWARM OPTIMIZATION FOR MANAGING AS INJECTION ALLOCATION Hannan Fatoni; Mauridhi Hery P; Ardyono Priyadi
Jurnal Ilmiah Kursor Vol 7 No 3 (2014)
Publisher : Universitas Trunojoyo Madura

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PARTICLE SWARM OPTIMIZATION FOR MANAGING AS INJECTION ALLOCATION aHannan Fatoni, bMauridhi Hery P, cArdyono Priyadi a Program Studi Magister ManajemenTeknologi, Institut Teknologi Sepuluh Nopember Jl. Cokroaminoto 12A, Surabaya, 60264, Indonesia b JurusanTeknikElektro, InstitutTeknologiSepuluhNopember Email: a hannanfatoni@gmail.com Abstract In oil and gas industry, the size of hydrocarbon reserves and type of the reservoir is crucial to the design methods and lifting the hydrocarbons for further processes. PT. XYZ uses the gas lift injection design to lift the oil content from the reservoir. In some conditions, the production choke valve shall be opened moreto increase the hydrocarbon production rates. However, it causes the reservoir instability, decreasing the reservoir pressure, and reducing the oil production drastically.Therefore, optimization of allocating gas lift injection rate on each of the production is needed to produce maximum oil and to improve the sustainability of oil and gas production on PT.XYZ. This paper proposes optimization technique for managing gas injection allocation using Particle Swarm Optimization (PSO). The procedure optimization can be explained as below; first step uses prosper modeling software to generate the model of production wells. Second, it obtains the curve of the gas lift injection rate against the oil production. Third, each well production model is validated by reference data from the well test result. The best PSO simulationwith limited gas injections which is 17 MMscfdresults of the gas lift injection allocation for each production wells are 0.98, 2.66, 1.39, 0.98, 3.19, 1.61, 1.78, 2.03, 1.40, and 0.98 MMscfd.With these gas injection allocations, the oil production increases to 4908.7 Barrels of oil per day (BPD). Maximum company profit after optimization reaching USD$ 578,004 compare with before optimization. The other optimization using Genetic Algorithm (GA) is also used for comparison. Keywords: Optimization, Prosper Modeling, PSO, GA.

DESIGN OPTIMIZATION OF MICRO HYDRO TURBINE USING ARTIFICIAL PARTICLE SWARM OPTIMIZATION AND ARTIFICIAL NEURAL NETWORK Lie Jasa; Ratna Ika Putri; Ardyono Priyadi; Mauridhi Hery Purnomo
Jurnal Ilmiah Kursor Vol 7 No 3 (2014)
Publisher : Universitas Trunojoyo Madura

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DESIGN OPTIMIZATION OF MICRO HYDRO TURBINE USING ARTIFICIAL PARTICLE SWARM OPTIMIZATION AND ARTIFICIAL NEURAL NETWORK aLie Jasa, bRatna Ika Putri, cArdyono Priyadi, dMauridhi Hery Purnomo a,b,c,d Instrumentation, Measurement, and Power Systems Identification Laboratory Electrical Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia a Electrical Engineering Department, Udayana University, Bali, Indonesia b Electrical Engineering Department, Politeknik Negeri Malang, Malang, Indonesia. Email: liejasa@unud.ac.id Abstrak Turbin digunakan mengkonversi energy potensial menjadi energy kinetik. Kapasitas Energy yang dihasilkan dipengaruhi oleh sudu-sudu turbin yang dipasang pada tepi. Sudu turbin dirancang seorang ahli dengan sudut kelengkungan tertentu. Efisiensi dari turbin dipengaruhi oleh besarnya sudut, jumlah dan bentuk sudu. Algoritma PSO dapat digunakan untuk komputasi dan optimasi dari design turbin mikro hidro. Penelitian ini dilakukan dengan; Pertama, Formula design turbin dioptimasi dengan PSO. Kedua, Data hasil optimasi PSO diinputkan kedalam jaringan ANN. Ketiga, training dan testing terhadap simulasi jaringan ANN. Dan yang terakhir, Analisa kesalahanr dari jaringan ANN. Data PSO sebanyak 180 record, 144 digunakan untuk training dan sisanya 40 untuk testing. Hasil penelitian ini adalah MAE= 0.4237, MSE=0.3826, dan SSE=165.2654. Error training terendah didapatkan dengan algoritma pembelajaran trainlm. Kondisi ini membuktikan bahwa jaringan ANN mampu menghasilkan desain turbin yang optimal. Kata kunci: Turbin, PSO, ANN, Energi Abstract Turbines are used to convert potential energy into kinetic energy. The blades installed on the turbine edge influence the amount of energy generated. Turbine blades are designed expertly with specific curvature angles. The number, shape, and angle of the blades influence the turbine efficiency. The particle swarm optimization (PSO) algorithm can be used to design and optimize micro-hydro turbines. In this study, we first optimized the formula for turbine using PSO. Second, we input the PSO optimization data into an artificial neural network (ANN). Third, we performed ANN network simulation testing and training. Finally, we conducted ANN network error analysis. From the 180 PSO data records, 144 were used for training, and the remaining 40 were used for testing. The results of this study are as follows: MAE = 0.4237, MSE = 0.3826, and SSE = 165.2654. The lowest training error was achieved when using the trainlm learning algorithm. The results prove that the ANN network can be used for optimizing turbine designs. Keywords: Turbine, PSO, ANN, Energy

COORDINATION CONTROLLER POWER SYSTEM IN JAVA-BALI 500 KV INTERCONECTED BASED ON BACTERIA FORAGING - PARTICLE SWARM OPTIMIZATION FOR STABILITY IMPROVEMENT IBG Manuaba; AAN Amrita; Ardyono Priyadi; Hery Purnomo
Jurnal Ilmiah Kursor Vol 8 No 2 (2015)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v8i2.65

Power system stabilizer (PSS) and flexible AC transmission system (FACTS) damping controller to improve the stability of the power system has been widely used. A coordinated control method based on the combined computational evolutionary theory is proposed to overcome some of damping controllers simultaneously so as to keep the allowable level of power system damping. It works by making full use of favorable interaction between the controlling and minimizing adverse interactions so that the power system oscillations can be suppressed effectively. Proportional integral derivative (PID) controller tuning based power system stabilizer types PSS3B (PIDPSS3B), static var compensator (SVC) and automatic voltage regulator (AVR) presented in this paper. PID controller gain parameters such as proportional, integral factor, differential coefficient and get AVR selected and optimized by BF-PSOTVAC. The integral time absolut error (ITAE) standards of optimization design as objective function. The results of simulations show that performance index of system the proposed method is 42.7890. The BF-PSOTVAC method has the capability to damping optimally and suppresses error to minimum.

CRITICAL TRAJECTORY - EXTREME LEARNING MACHINE TECHNIQUE FOR COMPUTING CRITICAL CLEARING TIME Irrine Budi Sulistiawati; Ardyono Priyadi; Adi Soepriyanto
Jurnal Ilmiah Kursor Vol 8 No 1 (2015)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v8i1.73

Electric power system is called reliable if the system is able to provide power supply without interrupted. However, in large systems changing on the system or disturbance may affect the power supply. Critical clearing time is the time for deciding the system is a stable or an unstable condition. Critical clearing time has also relationship with setting relay protection to keep the system in the stable condition. Prediction of critical real time for online assessment is expected to be used for preventive action system. That’s why critical clearing time still an interesting topic to be investigated.This paper calculating time of Extreme Learning Machine to predict critical clearing tim on system. Before predicted by Extreme Learning Machine, critical clearing time calculated using numerical calculation critical trajectory method with load changing and different fault occuring. Tested by Java-Bali 500 kv 54 machine 25 bus give result that Extreme learning machine is able to perform faster prediction of neural network.

Kinerja Micro Grid Menggunakan Photovoltaic-Baterai dengan Sistem Off-Grid Adhi Kusmantoro; Ardyono Priyadi; Vita Lystianingrum Budiharto Putri; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Renewable energy based micro grid planning is perfect for delivering electricity to rural areas, as an uninterruptible resource. In this paper, a DC micro grid system is designed. The system consists of several PVs and batteries which are connected to each other through a network. PV grids A and C deliver 1,904 watts of power in the micro grid system, while the battery contributes 784 watts of power. The system has a load of 730 watts. The purpose of this study is to improve the performance of micro grid with off-grid systems. The performance of the designed system is quite good because there sources of the grid A and grid C systems are sufficient to meet load demands and to charge batteries. When solar radiation is low, the battery meets load demands. To make the system more reliable, although it will increase system costs, a battery with a larger capacity can be used. The proposed system maintains the voltage at 12V with a change of only ± 10%.

Pengoperasian Penyimpan Energi Udara Tekan Skala Kecil Mode Discharged pada Efisiensi Maksimum Andi Setiawan; Ardyono Priyadi; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1090.972 KB)

This paper presents the results of research on the development of small-scale compressed air storage operating at its maximum efficiency. In contrast to what was done in previous studies using a buck converter on the output side of the generator, here a boost converter is used. The use of a boost converter allows the turbines to operate at a reasonably low speed and can still produce the desired voltage for the load, which is 12 volts. This strategy is chosen based on the characteristics of the turbine which indicates that the turbine will operate with better efficiency if operated at lower speeds. In this study, the search for maximum efficiency points is done by perturb and observe (P&O) method. The simulation results show that this strategy is effective for obtaining operating points with maximum efficiency if the load power is small relative to the nominal power of the turbine-generator, which is below 50%.

Pengaruh Penambahan SCES Terhadap Peningkatan Kestabilan Transien Menggunakan Metode Critical Trajectory Berbasis Losing Synchronism Ardyono Priyadi; Arief Riambodo; Talitha Puspita Sari; Soedibyo Soedibyo
Jurnal FORTECH Vol. 1 No. 1 (2020): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Three phase fault is one of a transient phenomenon that must be isolate immediately to prevent losing synchron of generator in power plant, so that the system remain stable. Critical clearing time is maximum time allowed to isolate the system fault so that the system remain stable. Super capacitor energy storage installation to the system is one way to improve CCT value. Super capacitor is one of energy storage that be able to supply and store large amounts of electricity power quickly. Super Capacitor can improve CCT value by muffle oscillation of 3 phase fault. With higher CCT value, then time operation of protection system can be longer. The result is the system remain stable after fault removed and it can be improve transient stability in power system. Within an optimal sizing of super capacitor capacities for the system, then the value of CCT that obtained is higher than protection time operation. So that in this final project will be carried out an optimal sizing of super capacitor for improving transient stability with critical trajectory based on losing synchronism method

Perbaikan CCT Pada Multi Machine Infinite Bus Dengan Supercapacitor Energy Storage Menggunakan Critical Trajectory Talitha Puspita Sari; Rafin Aqsa Izza Mahendra; Ardyono Priyadi; Vita Lystianingrum; Margo Pujiantara; Sjamsjul Anam
Jurnal FORTECH Vol. 1 No. 2 (2020): jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Transient stability is an important aspect in maintaining the continuity and reliability of the electrical power system when a sudden large disturbance occurs. However, there is a time operation's limitation of the protection system to eliminate disturbance before the system becomes unstable and loses its synchronization. Critical Clearing Time (CCT) is the toleration time to eliminate the fault to keep the system stable. To improve system stability, installing Supercapacitor Energy Storage (SCES) can be one of the methods for extending the CCT values. SCES absorb large amounts of electricity simultaneously when a fault occurs. This paper proposed a determination of SCES' controller effect in extending the CCT. SCES becomes a dummy load and extends the CCT value depending on the controller's ability to respond to a fault. Controller modeling is applied to SCES, which is installed at the bus generator with determined capacity. The modified Fouad and Anderson 9-bus 3-machine system with a single machine to an infinite bus is used to validate the proposed method. Moreover, the critical trajectory method, which is known as a faster calculation and better accuracy than the time domain simulation method, is used to obtain the CCT value. The result shows that the faster controllers work against fault, the higher the CCT value improvement of system CCT. The highest improvement occurs when the controller works at 0.001s.

Efek Penambahan SCES Pada Sistem Multimesin dengan Damping dan Kontroler Berdasarkan Metode Critical Trajectory Ardyono Priyadi; Nazila Iyyaya Fariha; Talitha Puspita Sari; Vita Lystianingrum; Margo Pujiantara; Sjamsjul Anam
Jurnal FORTECH Vol. 1 No. 2 (2020): jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

The system can maintain its synchronization under a transient condition. The transient stability system can be evaluated using the critical trajectory method by calculating the Critical Clearing Time (CCT). The advantage of using a critical trajectory method is that the CCT can be found directly and more accurate than the time domain simulation method. This paper proposed the addition of Supercapacitor Energy Storage (SCES) and damping to enhance the transient stability on multi machine system. SCES is an electrical energy storage device that quickly stores and supplies large amounts of electricity, while damper winding damp the oscillations during unstable steady state conditions. Within the addition of SCES and damping in the system, the stability will last longer than before. The stability system is seen by the extended CCT. Furthermore, multi-machine to infinite bus used to validate the proposed method. The test system also includes the Automatic Voltage Regulator (AVR) and the governor

Co-Authors A.A Ngurah Amrita Adhi Kusmantoro Adi Soeprijanto Adi Soepriyanto Akbar Swandaru Almira Atha Nurhasyimi Almira Atha Nurhasyimi Anam, Sjamsul Andi Setiawan Andi Setiawan Aprilia Rahmayanti Aprilia Rahmayanti Aqsa Izza Mahendra, Rafin Arief Riambodo Ariq Arsya Nanda Arwindra Rizqiawan Asadulloh, Latief Ni'am Bernandus Anggo Seno Aji Bima Mustaqim Budiharto, Vita Lystianingrum Chandra Agung Ramadhan Daya Juang Mahaputra Diah Puspito Wulandari Dimas Anton Asfani Dimas Fajar Uman Putra Dimas Fajar Uman Putra Eko Mulyanto Yuniarno Erhankana Ardiana Putra Erlan Fajar Prihatama Fahmi Nurfaishal Farah Zakiyah Rahmanti Fath, Nifty Fauzan Fakhrul Arifin Fauzan Fakhrul Arifin Fauzan Nusyura Feby Agung Pamuji Feby Agung Pamuji Gita Dwipermata Sari Gladi Samodra Hafiz Ichwanto Hafiz Ichwanto Hannan Fatoni Hery Purnomo Heryanto Hartra M M Heryanto Hartra M M I Made Yulistya Negara IBG Manuaba Imam Abadi Imam Robandi Irrine Budi Sulistiawati Isa Hafidz Iyyaya Fariha, Nazila Jaelani Putra, Riko Satrya Fajar Januarestu, Achmad Jawahir Jumaras Situngkir Laksana, Eka Purwa Lie Jasa Lystianingrum, Vita Margo Pujiantara Mauridhi Hery P Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mauridhy Hery Purnomo Moch. Iskandar Riansyah Mulyanto, Edy Nazila Iyyaya Fariha Nazila Iyyaya Fariha Nova Eka Budiyanta Nurio Herlambang Oddy Virgantara Putra Ontoseno Penangsang P., Mauridhi Hery Panji Setyo Suharso Prestian Rindho Saputra Pujiantara, Margo Pujiantoro, Margo Puspita Sari, Talitha Rachma Prilian Eviningsih Rafin Aqsa Izza Mahendra Rafin Aqsa Izza Mahendra Rakaditra Astungkara Ratna Ika Putri Rezi Delfianti Riambodo, Arief Risqiya Maulana Rizky Fadhli Hasben Rony Seto Wibowo Rosmaliati, Rosmaliati Rukmana, Maman Sandy, Yusdiar Sirait, Rummi Santi Rama Sitorus, Philip Nathanael Erlangga Sjamsjul Anam Soedibyo Soedibyo Soedibyo Soedibyo Suharto Suharto Sujono Sujono Sujono Talitha Puspita Sari Talitha Puspita Sari Talitha Puspita Sari Talitha Puspita Sari Talitha Puspita Sari Talitha Puspita Sari Talitha Puspita Sari Tegar Iman Ababil Tegar Iman Ababil Tri Arief Sardjono Tri Desmana Rachmildha, Tri Desmana Trihastuti Agustinah Vita Lystianingrum Vita Lystianingrum Wisbar, Andi Hidayah Yani Prabowo Yogadipha Bagas, I Gede Dyotha

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