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Optimal Placement and Sizing of TCSC using Gravitational Search Algorithm Purwoharjono, Purwoharjono; Abdillah, Muhammad; Penangsang, Ontoseno; Soeprijanto, Adi
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 10, No 4: December 2012
Publisher : Universitas Ahmad Dahlan

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Abstract

This paper represents the GSA that can be used to determine the optimal location and rating of FACTS devices. They are devices used to regulate and improve the power flow in the power system. The method used in this study was GSA. FACTS types used were TCSC implemented on 500kV Java-Bali Power System. Load flow results before optimization showed that the active power loss was 297.607MW. While the load flow results after optimization using GSA with 5-TCSC obtained were 287.926MW of active power loss, with 10-TCSC, it was obtained 281.143MW of active power loss. In addition, using 15-TCSC, the active power loss obtained was 279.405MW. GSA methods can be used to minimize power losses and transmission lines as well as to improve the value of the voltage in the range of 0.95+ 1.05pu compared with load flow results before optimization.
Gabor-based Face Recognition With Illumination Variation Using Subspace-Linear Discriminant Analysis Kusuma, Hendra; Wirawan, NFN; Soeprijanto, Adi
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 10, No 1: March 2012
Publisher : Universitas Ahmad Dahlan

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Abstract

Although Face recognition has been an active research topic in the past few decades due to its potential applications. Accurate face recognition is still a difficult task, especially in the case that illumination are unconstrained. This paper presents an efficient method for the recognition of faces with different illumination by using Gabor features, which are extracted by using log-Gabor filters of six orientations and four scales. By Using sliding window algorithm, these features are extracted at image block-regions. Extracted features are passed to the Principal Component Analysis (PCA) and then to Linear Discriminant Analysis (LDA). For development and testing we used facial images from the Yale-B databases. The proposed method achieved 86 100 % rank 1 recognition rate.
Modeling And Control Of Excitation And Governor Based On PSO For MHPP Haddin, Muhamad; Soebagio, Soebagio; Soeprijanto, Adi; Hery Purnomo, Mauridhi
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 11, No 2: June 2013
Publisher : Universitas Ahmad Dahlan

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Abstract

This paper presents the modeling and control of the excitation system via the automatic voltage regulator (AVR) and governor system through the automatic generation control (AGC) or frequency load control (FLC) to improve stability on a micro hydro power plant (MHPP). Three main parts of the generation system are synchronous generator, AVR/excitation, AGC modelled linearly. Generator is modelled by a single machine connected to infinite bus (SMIB) which is equipped by AVR and excitation linear model. Excitation control system made ??by optimizing the gain of the AVR (KA) and the governor with the gain of the AGC (Ki). Optimization is done using the method improved particle swam optimization (IPSO). The main purpose of setting the gain of the AVR-AGC is to stabilize the oscillation frequency of the MHPP is connected to an infinite bus. Simulations are conducted by inputting step function with 5% load fluctuations as a representation of dynamic load. The simulation results show that the proposed method effectively raises the level  of electromechanical damping oscillations the SMIB by generating the comprehensive damping index (CDI) is minimum.
Steady-State Stability Assessment Using Neural Network Based on Network Equivalent Chaerah Gunadin, Indar; Abdillah, Muhammad; Soeprijanto, Adi; Penangsang, Ontoseno
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 9, No 3: December 2011
Publisher : Universitas Ahmad Dahlan

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Abstract

Power systems in all over the world have increased in size and complexity due to rapid growth of widespread interconnection. This situation will make power system operated closer to steady-state stability limit (SSSL) resulting in higher probability voltage instability or voltage collapse. This paper presents SSSL assessment in power system using Artificial Neural Network (ANN) model based on REI-Dimo method. The equivalent REI-Dimo is used to determine SSSL index of the power systems. Then, the result of REI-Dimo will be taught on ANN method via online. Studies were carried out on a Java-Bali 500kV system. The simulation showed that the proposed method could accurately predict the proximity to SSSL in power system. The method was computationally efficient and suitable for online monitoring of steady-state stability condition in the power systems.
MATLAB/SIMULINK SIMULATION OF UNIFIED POWER QUALITY CONDITIONER-BATTERY ENERGY STORAGE SYSTEM SUPPLIED BY PV-WIND HYBRID USING FUZZY LOGIC CONTROLLER Amirullah, Amirullah; Penangsang, Ontoseno; Soeprijanto, Adi
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1399.113 KB) | DOI: 10.11591/ijece.v9i3.pp1479-1495

Abstract

This paper presents performance analysis of Unified Power Quality Conditioner-Battery Energy Storage (UPQC-BES) system supplied by Photovoltaic (PV)-Wind Hybrid connected to three phase three wire (3P3W) of 380 volt (L-L) and 50 hertz distribution system. The performance of supply system is compared with two renewable energy (RE) sources i.e. PV and Wind, respectively. Fuzzy Logic Controller (FLC) is implemented to maintain DC voltage across the capacitor under disturbance scenarios of source and load as well as to compare the results with Proportional Intergral (PI) controller. There are six scenarios of disturbance i.e. (1) non-linear load (NL), (2) unbalance and nonlinear load (Unba-NL), (3) distortion supply and non-linear load (Dis-NL), (4) sag and non-linear load (Sag-NL), (5) swell and non-linear load (Swell-NL), and (6) interruption and non-linear load (Inter-NL). In disturbance scenario 1 to 5, implementation of FLC on UPQC-BES system supplied by three RE sources is able to obtain average THD of load voltage/source current slightly better than PI. Furthermore under scenario 6, FLC applied on UPQC-BES system supplied by three RE sources gives significantly better result of average THD of load voltage/source current than PI. This research is simulated using Matlab/Simulink.
PELEPASAN BEBAN OTOMATIS MENGGUNAKAN ANN-CBP-FLC PADA SISTEM TENAGA LISTRIK INDUSTRI BESAR Karim, Khairuddin; Soeprijanto, Adi; Purnomo, Mauridhi Hery
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2008
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Pelepasan beban pada suatu sistem daya sangat diperlukan terutama untuk mencegah terjadinya padam total(black out). Pelepasan beban (Load Shedding) ini berfungsi untuk mengantisipasi turunnya frekwensi padapembangkit-pembangkit yang masih bekerja sehingga pelayanan ke beban tetap terjaga kualitasnya. Makalahini akan membahas mengenai pelepasan beban secara otomatis dengan menggunakan Fuzzy Logic Controllersebagai pengontrol di sisi kestabilannya dan algoritma ANN-Constructive Backpropgation untuk penentuanpelepasan beban. Skema pelepasan bebannya menggunakan variabel perubahan frekwensi dan tegangan sertahasil pengukuran synchrophasor. Pada saat terjadi ketidak-stabilan tegangan maka dilakukan perbaikantegangan terlebih dahulu melalui Fuzzy Logic Controller dan jika tidak tercapai kestabilan maka dilakukanpelepasan beban agar sistem menjadi stabil.Simulasi data pada Artificial Neural Network (ANN) dan FuzzyLogic Controller (FLC) menggunakan Software MatLab. Hasil simulasi menunjukkan adanya perbaikantegangan pada bus setelah diinjeksi Qvar. Pada simulasi ANN dapat ditentukan tahapan pelepasan bebanberdasarkan perubahan frekwensi pada sistem.Keywords: Load Shedding, Fuzzy Logic Controller, Artificial Neural Network, Constructive Back Propagation.
DESAIN KONTROLER PRIMEMOVER GENERATOR DENGAN FUZZY ADAPTIF Nursalim, Nursalim; Soeprijanto, Adi; Hery P, Mauridhi
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 2 (2009): Instrumentational And Robotic
Publisher : Jurusan Teknik Informatika

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Abstract

Salah satu permasalahan yang sering timbul dalam pendistribusian tenaga listrik adalah adanya perubahan frekuensi dan daya listrik yang tidak stabil akibat adanya perubahan putaran primemover di pusat pembangkit. Perubahan putaran primemover ini biasanya diakibatkan oleh adanya perubahan beban yang tidak teratur baik berupa gangguan dinamis, maupun gangguan transien. Apabila hal tersebut dibiarkan maka selain dapat merusak peralatan yang dicatunya juga akan merusak primemover itu sendiri. Untuk mengatasi adanya perubahan frekuensi dan daya listrik ini dilakukan pemulihan frekuensi sistem dengan cara menjaga agar putaran primemover tetap konstan. Tujuan penelitian ini yaitu mendesain sebuah kontroler yang berbasis fuzzy adaptif untuk mengatur kecepatan putaran primemover agar putarannya tetap konstan dan cepat stabil walaupun terdapat gangguan atau perubahan beban. Primemover dalam penelitian menggunakan motor DC penguatan terpisah karena tipe motor ini mempunyai keunggulan dalam kehalusan perubahan kecepatan, kemudahan pengendalian, dan tanggapan dinamis yang cepat terhadap perubahan torsi beban. Berdasarkan hasil percobaan yang dilakukan, pengontrol Fuzzy Adaptif menghasilkan nilai parameter yang lebih baik dibanding dengan PI yaitu settling (ts) = 0.4 detik, rise time (tr) = 0.1 detik, delay time (td) = 0.07 detik, dan memiliki waktu pemulihan 0.35 detik pada kondisi berbeban.
OPTIMAL GENERATOR SCHEDULING BASED ON PARTICLE SWARM OPTIMIZATION Tuegeh, Maickel; Soeprijanto, Adi; Hery P, Mauridhi
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2009): Computatinal
Publisher : Jurusan Teknik Informatika

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Abstract

Generator scheduling merupakan bagian penting dalam pengoperasian sistem tenaga listrik. Tidak ada penjadwalan yang baik dapat menyebabkan biaya yang sangat besar dalam proses pengoperasian terutama pada sisi pembangkitan, juga dapat menyebabkan tidak ada koordinasi dalam menyalurkan tenaga listrik. Optimasi penjadwalan dari generator diperoleh dengan kecerdasan buatan diantaranya menggunakan teknik Particle Swarm Optimization (PSO). Hasil simulasi menunjukkan bahwa metode yang digunakan memberikan performa yang sangat baik dan hasil ini juga dibandingkan dengan metoda iterasi lamda untuk melihat keakuratan dari hasil yang didapat. Metode ini diaplikasikan pada dua contoh sistem dan diselesaikan dengan menggunakan Matlab.
PENGEMBANGAN SISTEM MONITORING VISUAL KEAMANAN TRANSMISI Reza, Mohammad Arie; Purnomo, Mauridhi Hery; Soeprijanto, Adi
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 3 (2009): Network And Security
Publisher : Jurusan Teknik Informatika

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Abstract

Level keamanan transmisi dalam satu kondisi operasi yang dihasilkan oleh paralel load flow dinyatakan secara visual dalam kurva kapabilitas transmisi . Kurva tersebut dibentuk berdasarkan batas termal dan kestabilan steady state. Secara visual, level keamanan transmisi dinyatakan pula secara kuantitatif dengan besaran indeks keamanan. Dengan indeks ini, level keamanan tiap saluran untuk satu kondisi operasi dapat diurutkan. Untuk kepentingan monitoring dan kontrol operasi maupun perencanaan, visualisasi tersebut diintegrasikan kedalam software monitoring dan kontrol yang telah lebih dulu dikembangkan yaitu EWCS (Early warning and Control System). EWCS di desain menggunakan delphi dan dapat diintegrasikan dengan sistem SCADA eksisting. Simulasi visualisasi keamanan transmisi akan diterapkan untuk sistem Jawa Timur 150 KV.
ECONOMIC DISPATCH USING QUANTUM EVOLUTIONARY ALGORITHM IN ELECTRICAL POWER SYSTEM INVOLVING DISTRIBUTED GENERATORS Aryani, Ni Ketut; Soeprijanto, Adi; Yulistya Negara, I Made; Syai?in, Mat
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 5: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.9 KB) | DOI: 10.11591/ijece.v7i5.pp2365-2373

Abstract

Unpredictable increase in power demands will overload the supply subsystems and insufficiently powered systems will suffer from instabilities, in which voltages drop below acceptable levels. Additional power sources are needed to satisfy the demand. Small capacity distributed generators (DGs) serve for this purpose well. One advantage of DGs is that they can be installed close to loads, so as to minimise loses. Optimum placements and sizing of DGs are critical to increase system voltages and to reduce loses. This will finally increase the overall system efficiency. This work exploits Quantum Evolutionary Algorithm (QEA) for the placements and sizing. This optimisation targets the cheapest generation cost. Quantum Evolutionary Algorithm is an Evolutionary Algorithm running on quantum computing, which works based on qubits and states superposition of quantum mechanics. Evolutionary algorithm with qubit representation has a better characteristic of diversity than classical approaches, since it can represent superposition of states.