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ITS » PhD Theses » Program Doktoral Teknik Elektro
Posted by at 26/05/2010 14:32:39  •  2971 Views



Created by :
HAKIM, ERMANU AZIZUL ( 2205301004 )

SubjectSistem daya listrik
Alt. Subject Electric power systems
KeywordPower System Stabilizer
Logika Fuzzy
Genetic Algorithm


Sistem tenaga merupakan sistem yang kompleks dengan model dinamika yang sangat tak-linear. Interkoneksi sistem tenaga menambah kompleksitas sistem. Interkoneksi dalam skala besar menimbulkan osilasi inter-area atau intra-area frekuensi rendah. Osilasi ini menjadi masalah utama bagi stabilitas sinyal kecil-sistem tenaga (small signal stability). Stabilitas sinyal kecil tergantung pada kondisi beban maupun topologi sistem tenaga. Karena osilasi ini telah membatasi batas aliran daya dalam keadaan mantap, maka osilasi akan mempengaruhi sistem operasi baik dalam tinjauan ekonomi maupun keamanan. Power System Stabilizer (PSS) adalah piranti yang telah secara luas digunakan untuk memperbaiki peredaman osilasi frekuensi rendah. Stabilizer ini membangkitkan sinyal tambahan ke sistem eksitasi atau regulator tegangan otomatis (AVR). Oleh karenanya PSS telah digunakan secara luas pada generator-generator besar selama beberapa dekade untuk memperbaiki stabilitas dalam jangkauan operasi yang terbatas. Masukan PSS dilewatkan untuk menyediakan sudut mendahului (phase lead) pada frekuensi elektromekanis tertentu. Keperluan sudut mendahului merupakan sudut yang secara khusus diperlukan untuk mengkompensasi sudut tertinggal (phase lag) yang dihasilkan oleh regulator tegangan lup tertutup. Masalah utama dalam merancang PSS adalah masalah penalaan parameter. Mode osilasi teredam rendah dan perubahan kondisi operasi sistem tenaga telah menjadikan penalaan parameter PSS menjadi masalah yang cukup rumit. Kerumitan akan bertambah untuk sistem tenaga berskala besar (multimesin). Penalaan parameter yang tetap tidak akan menjamin keberhasilan PSS untuk meredam osilasi frekuensi rendah ini. Untuk itu diperlukan strategi stabilisasi melalui perancangan PSS yang bekerja dengan jangkauan parameter yang luas dan bekerja untuk mencapai performansi sistem yang optimal baik sistem tenaga listrik mesin tunggal maupun multimesin. Oleh karena itu, di dalam disertasi ini dikembangkan strategi stabilisasi sistem tenaga yang menjamin peredaman osilasi frekuensi rendah pada jangkauan yang luas. Strategi stabilisasi dilakukan dengan mengembangkan PSS berbasis fuzzy. Pengembangan PSS berbasis fuzzy dilakukan melalui dua pendekatan. Pendekatan pertama adalah PSS berbasis kontroler logika fuzzy optimal dengan variabel kontrol deviasi kecepatan putar rotor dan perubahan daya mesin. Pendekatan yang kedua adalah PSS berbasis pada Fuzzy PID (Proporsional, Integral and Derivative) optimal dengan masukan tunggal berupa deviasi kecepatan putar rotor. Untuk mendapatkan hasil stabilisasi dengan performansi sistem yang optimal dan kokoh (robust), parameter PSS pada dua model PSS ini ditala menggunakan dua metode optimisasi stokastik : yaitu Genetic Algorithm (GA) dan Particle Swarm Optimization (PSO). Performansi optimalitas dan robust diukur berdasarkan indeks performansi Integral of Time multiplied by Absolute Error (ITAE) dari deviasi kecepatan putar rotor pada mesin dan atau antar mesin. Efektifitas dari strategi stabilisasi yang diusulkan ini telah ditunjukkan melalui hasil pengujian perubahan kecil torka pada sistem tenaga listrik mesin tunggal-bus tak berhingga dan sistem tenaga listrik multimesin untuk berbagai beban. Hasil simulasi telah memperlihatkan bahwa peredaman osilasi frekuensi rendah optimal dapat diperoleh melalui strategi ini. Kata kunci : Power System Stabilizer, Logika Fuzzy, Genetic Algorithm, PSO

Alt. Description

Power system is a complex system. Dynamics model of power system is nonlinear. Interconnection system increase complexity. Interconnection caused inter-area or intra-area low frequency oscillations. These oscillations become major problems for small-signal stability of power system (small signal stability). Small signal stability depends on the load conditions and power system topology. Because of this oscillation has restricted the power flow limit in steady state, oscillations will affect power system operation in both economic and security reviews. Power System Stabilizer (PSS) is a device that has been widely used to improve the low frequency oscillation damping. The stabilizer generates an additional signal to the excitation system or automatic voltage regulator (AVR). PSSs were widely used in large generators for several decades to improve stability in a limited range of operation. PSS input spent to provide a point ahead (phase lead) at a given frequency electromechanical. Purposes of the corner ahead of a specific angle required to compensate for the left angle (phase lag) produced by the closed loop voltage regulator. The main problem in the design of PSS is the tuning of parameters. Low damped oscillation mode and changing power system operating conditions have made the PSS parameters tuning be a complicated issue. Complexity will increase for large-scale power systems (multimachine). The parameters tuning that still will not guarantee the success of PSS for damping low frequency oscillations. It is necessary for stabilization strategy through the design of PSS is working with a wide range of parameters and working to achieve optimum system performance both single machine and multimachine power system. Therefore, in this tesis developed power system stabilization strategy that ensures a low frequency oscillation damping in a wide range. Stabilization strategy is to develop a fuzzy-based PSS. Development of fuzzy-based PSS is carried out through two approaches. The first approach is PSS based on fuzzy logic controller with rotor speed deviation and electric power change. The second approach is PSS based on Fuzzy PID (Proportional, Integral and Derivative) with single input in the form of rotor speed deviation. To obtain stabilization results with optimal system performance and robust (robust), PSS parameters in two models of the PSS is tuned using two stochastic optimization methods: the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Optimality and robust performance is measured by performance index of Integral of Time multiplied by Absolute Error (ITAE) of the rotor speed deviation and the machines or between machines. Effectiveness of the proposed stabilization strategy has been demonstrated through test results of small changes in torque on single-machine infinite bus and multimachine power system for various loads. Simulation results have shown that optimal low frequency oscillation damping can be obtained through the strategies. Keywords: Power System Stabilizer, Fuzzy Logic, Genetic Algorithm, PSO

  1. Prof. Dr. Ir. Mauridhi Hery Purnomo, M.Eng
  2. Prof. Dr. Ir. Adi Soeprijanto, MT
Date Create:17/02/2010
Collection ID:3100010039465
Call Number:RTE 621.31 Hak s

Source :
Master Thesis, Electrical Engeenering, RTE 621.31 Hak s, 2010

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Copyright @2010 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library

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  2.  ITS-PhD-10451-strategy-of-optimal-power-system-stabilization-pss-design-based-on-fuzzy-ga-and-fuzzy-pso.pdf - 17 KB
  3.  ITS-PhD-10451-Approval_Sheet.pdf - 112 KB
  4.  ITS-PhD-10451-Abstract_id.pdf - 16 KB
  5.  ITS-PhD-10451-Abstract_en.pdf - 14 KB
  6.  ITS-PhD-10451-Preface.pdf - 14 KB
  7.  ITS-PhD-10451-Table_of_Content.pdf - 20 KB
  8.  ITS-PhD-10451-Tables.pdf - 10 KB
  9.  ITS-PhD-10451-Notations.pdf - 69 KB
  10.  ITS-PhD-10451-Bibliography.pdf - 29 KB
  11.  ITS-PhD-10451-Biography.pdf - 32 KB
  12.  ITS-PhD-10451-Chapter1.pdf - 44 KB
  13.  ITS-PhD-10451-Conclusion.pdf - 16 KB
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  3. ITS-PhD-10451-Chapter4.pdf - 360 KB
  4. ITS-PhD-10451-Chapter5.pdf - 524 KB
  5. ITS-PhD-10451-Chapter6.pdf - 556 KB

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Algorithm , Fuzzy , Genetic , Genetic Algorithm , Logika , Logika Fuzzy , PSO , Power , Power System Stabilizer , Stabilizer , System


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