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Designing of power system stabilizer based on the root locus method with lead-lag controller and comparing it with PI controller in multi-machine power system

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a method for designing a multi-machine power system stabilizer. The conventional design technique using a single machine infinite bus approximation involves a frequency response estimation called GEP(s). Frequency response is estimated between the input AVR and electrical output torque. The power system stabilizer is designed by frequency response and based on the root locus method to improve the damping of oscillatory modes. By using this method, we can adjust the structure of the PSS compensator and its parameters in the multi-machine system and it does not need to know the equivalent reactance of output and voltage of the infinite bus or the other estimations in every machine. In the proposed method, information available at the high voltage bus of the step-up transformer is used to set up a modified Heffron-Phillips model. Finally, this method is examined on three test systems. Simulation results indicate the performance and effectiveness of the proposed method.
Rocznik
Strony
45--56
Opis fizyczny
Bibliogr. 32 poz., rys., tab., wykr.
Twórcy
autor
  • Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad 85141-43131, Iran
  • Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad 85141-43131, Iran
Bibliografia
  • [1] G. Shahgholian, A. Movahedi, Power system stabiliser and flexible alternating current transmission systems controller coordinated design using adaptive velocity update relaxation particle swarm optimization algorithm in multi-machine power system, IET Generation, Transmission Distribution 10 (2016) 1860–1868.
  • [2] X. Zhao, L. Shi, L. Chen, Z. Xia, A. Bendre, Modeling and current control strategy for a medium-voltage cascaded multilevel statcom with lcl filter, Journal of Power Technologies 95 (2015) 1–13.
  • [3] G. Shahgholian, Modelling and simulation of low-head hydro turbine for small signal stability analysis in power system, Journal of Renewable Energy and Environment 3 (2016) 11–20.
  • [4] M. Farahani, S. Ganjefar, Intelligent power system stabilizer design using adaptive fuzzy sliding mode controller, Neurocomputing 226 (2017) 135–144.
  • [5] M. B. A. Jabali, M. H. Kazemi, A new lpv modeling approach using pcabased parameter set mapping to design a pss, Journal of advanced research 8 (2017) 23–32.
  • [6] G. Shahgholian, M. Ahmadi-Zebarjad, Application of a nonlinear hybrid controller in multi-machine power system based on a power system stabilizer, Journal of Power Technologies 97 (2017) 295–301.
  • [7] A. Jafari, G. Shahgholian, Analysis and simulation of a sliding mode controller for mechanical part of a doubly-fed induction generatorbased wind turbine, IET Generation, Transmission & Distribution 11 (2017) 2677–2688.
  • [8] G. Shahgholian, Power system stabilizer application for load frequency control in hydro-electric power plant, International Journal of Theoretical and Applied Mathematics 3 (2017) 148–157.
  • [9] Z. AZIMI, G. SHAHGHOLIAN, Power system transient stability enhancement with tcsc controller using genetic algorithm optimization., International Journal of Natural & Engineering Sciences 10 (2016).
  • [10] H. Quinot, H. Bourles, T. Margotin, Robust coordinated avr+ pss for damping large scale power systems, IEEE Transactions on Power Systems 14 (1999) 1446–1451.
  • [11] A. Shoulaie, M. Bayati-Poudeh, G. Shahgholian, Damping torsional torques in turbine-generator shaft by novel pss based on genetic algorithm and fuzzy logic, Journal of Intelligent Procedures in Electrical Technology 1 (2010) 3–10.
  • [12] P. M. Anderson, A. A. Fouad, Power system control and stability, John Wiley & Sons, 2008.
  • [13] G. Shahgholian, J. Faiz, Coordinated control of power system stabilizer and facts devices for dynamic performance enhancement-state of art, in: Intelligent Energy and Power Systems (IEPS), 2016 2nd International Conference on, IEEE, pp. 1–6.
  • [14] X. Lei, E. N. Lerch, D. Povh, Optimization and coordination of damping controls for improving system dynamic performance, IEEE Transactions on Power Systems 16 (2001) 473–480.
  • [15] Y. Abdel-Magid, M. Abido, Robust coordinated design of excitation and tcsc-based stabilizers using genetic algorithms, Electric Power Systems Research 69 (2004) 129–141.
  • [16] N. M. Razali, V. Ramachandaramurthy, R. Mukerjee, Power system stabilizer placement and tuning methods for inter-area oscillation damping, in: Power and Energy Conference, 2006. PECon’06. IEEE International, IEEE, pp. 173–178.
  • [17] O. Abedinia, N. Amjady, H. Izadfar, H. Shayanfar, Multi-machine power system oscillation damping: Placement and tuning pss via multiobjective hbmo, International Journal of Technical and Physical Problems of Engineering 4 (2012) 12.
  • [18] G. Shahgholian, Review of power system stabilizer: Application, modeling, analysis and control strategy, International Journal on Technical and Physical Problems of Engineering 5 (2013) 41–52.
  • [19] A. C. Padoan, B. Kawkabani, A. Schwery, C. Ramirez, C. Nicolet, J.-J. Simond, F. Avellan, Dynamical behavior comparison between variable speed and synchronous machines with pss, IEEE Transactions on Power Systems 25 (2010) 1555–1565.
  • [20] P. Kundur, M. Klein, G. Rogers, M. S. Zywno, Application of power system stabilizers for enhancement of overall system stability, IEEE Transactions on Power Systems 4 (1989) 614–626.
  • [21] P. Kundur, N. J. Balu, M. G. Lauby, Power system stability and control, The EPRI Power System Engineering Series ed., McGraw-hill New York, 1994.
  • [22] P. Sauer, M. Pai, Power system dynamics and stability, Prentice Hall, Upper Saddle River, Nj, 1998.
  • [23] G. Shahgholian, Development of state space model and control of the statcom for improvement of damping in a single-machine infinite-bus, International Review of Electrical Engineering 4 (2009).
  • [24] G. Shahgholian, A. Movahedi, J. Faiz, Coordinated design of tcsc and pss controllers using vurpso and genetic algorithms for multi-machine power system stability, International Journal of Control, Automation and Systems 13 (2015) 398–409.
  • [25] G. Shahgholian, A. Movahedi, Coordinated design of thyristor controlled series capacitor and power system stabilizer controllers using velocity update relaxation particle swarm optimization for two-machine power system stability, Revue Roumaine Des Sciences Techniques 59 (2014) 291–301.
  • [26] G. Gurrala, I. Sen, Power system stabilizers design for interconnected power systems, IEEE Transactions on Power Systems 25 (2010) 1042–1051.
  • [27] V. Keumarsi, M. Simab, G. Shahgholian, An integrated approach for optimal placement and tuning of power system stabilizer in multimachine systems, International Journal of Electrical Power & Energy Systems 63 (2014) 132–139.
  • [28] G. Shahgholian, M. Mehdavian, M. Azadeh, S. Farazpey, M. Janghorbani, The principle of effect of the transient gain reduction and its effect on tuning power system stabilizer, in: Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2016 13th International Conference on, IEEE, pp. 1–6.
  • [29] M. J. Gibbard, D. J. Vowles, Design of power system stabilizers for a multi-generator power station, in: International Conference on Power System Technology, volume 3, pp. 1167–1171 vol.3.
  • [30] Y.-N. Yu, Q.-H. Li, Pole-placement power system stabilizers design of an unstable nine-machine system, IEEE transactions on power systems 5 (1990) 353–358.
  • [31] A. Doi, S. Abe, Coordinated synthesis of power system stabilizers in multimachine power systems, IEEE Transactions on Power Apparatus and Systems (1984) 1473–1479.
  • [32] K. Padiyar, Power system dynamics: Stability and control, BS publications, Hyderabad, India, 2nd edition, 2002.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-65d7cbb3-e8b6-4eb3-99ed-d17304b99273
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