Abstract




 
   

IJE TRANSACTIONS A: Basics Vol. 31, No. 4 (April 2018) 252-259    Article in Press

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  APPLICATION OF AN ADDITIVE SELF-TUNING CONTROLLER FOR SSSC FOR DAMPING OF SSR OSCILLATIONS
 
M. Abbasi and B. Tousi
 
( Received: June 27, 2017 – Accepted: November 30, 2017 )
 
 

Abstract    In this paper, an additive self-tuning (ST) control scheme is presented for a static synchronous series compensator (SSSC) in order to improve performance of conventional PI control system in damping sub-synchronous resonance (SSR) oscillations. A three-level 24-pulse SSSC and fix capacitor provide the active and passive series compensation, respectively. This paper’s proposed ST controller consists of a pole shift (PS) controller and a recursive least squares (RLS). The RLS identifier algorithm is used to estimate parameters of auto regressive moving average exogenous (ARMAX) model which is used in this paper. With this scheme, there is no any necessity for retuning the PI controller parameters under different operational circumstances of the system. The analysis of SSR are performed using eigenvalue analysis, transient simulation and FFT analysis. As the results of this case study on a system adapted from IEEE First Benchmark Model show clearly, the proposed additive ST controller for damping of SSR under different disturbances and system’s operating conditions is effective and acceptable. It should be noted here that all digital simulations have been done using MATLAB.

 

Keywords    Static synchronous series compensator (SSSC), sub-synchronous resonance (SSR), self-tuning (ST), ARMAX, recursive least squares (RLS), pole shift (PS).

 

چکیده    دراین مقاله, یک کنترل کننده خود تنظیم برای یک جبران ساز سنکرون سری اساتیکی (SSSC) ارایه می گردد که هدف از آن بهبود عملکرد سیستم کنترل PI مرسوم در کاهش میراسازی نوسازات تشدید زیر سنکرون (SSR) می باشد. جبران سازی سری اکتیو و راکتیو به ترتیب توسط یک SSSC سه سطحه 24 پالس و یک خازن ثابت انجام می گیرد. طرح کنترلی پیشنهادی متشکل از یک کنترل کننده شیفت قطب (PS) و نیز حداقل مربعات بازگشتی (RLS) می باشد. الگوریتم شناسایی RLS برای تخمین پارامترهای مدل ARMAX مورد استفاده در این مطالعه به کار رفته است. بر اساس طرح پیشنهادی, نیازی برای تنظیم مجدد پارامترهای کنترل کننده PI تحت شرایط مختلف کاری سیستم وجود نخواهد داشت. تحلیل های SSR با استفاده از آنالیز مقادیر ویژه, شبیه سازی حالت گذرا و آنالیز FFT انجام گرفته اند. همانطور که نتایج این مطالعه بر روی مدل اول محک IEEE به وضوح نشان داده اند, کنترل کننده خود تنظیم پیشنهادی در جهت میراسازی نوسانات تشدید زیر سنکرون دارای عملکرد قابل قبول و موثری تحت اختلالات و شرایط کاری مختلف سیستم می باشد. لازم به ذکر است که تمام شبیه سازی ها توسط نرم افزار MATLAB انجام شده اند.

References    REFERENCES      1.     K. R. Padiyar, FACTS Controllers in Power Transmission and Distribution. New Delhi, India: New Age International, 2007.     2.     Lim J U, Moon S I. An analytical approach for the operation of series compensators to relieve power flow congestion. Euro. Trans. Electr. Power 2003; 13: 247–252.     3.     K. R. Padiyar, Analysis of Subsynchronous Resonance in Power Systems. Norwell, MA: Kluwer, 1999     4.     P. M. Anderson, J. E. Van Ness, and B. L. Agrawal, Subsynchronous Resonance in Power Systems. New York: Wiley, 1990.     5.     P. Kundur, Power System Stability and Control. New York: McGrawHill, 1996.     6.     IEEE Subsynchronous Resonance Working Group, “Countermeasures to subsynchronous resonance problems,” IEEE Trans. Power App. Syst., vol. PAS-99, pp. 1810–1818, Sep. 1980     7.     Han B M, Ledwich G. Dynamic performance analysis of novel unified power flow controller with computer simulation and scaled-model experiment. Euro. Trans. Electr. Power 2008; 18: 250–265.     8.     Xiao Y, Song Y H. Power flow studies of a large practical power network with embedded facts devices using improved optimal multiplier newton-raphson method. Euro. Trans. Electr. Power 2001. 11: 247–256.      9.     Amrane Y, Boudour M, Belazzoug M. A new hybrid technique for power systems multi-facts optimization design. Int. Trans. Electr. Energ. Syst. 2014. Doi: 10.1002/etep.2016.  10.     Chong B, Zhang X P, Godfrey K R, Yao L, Bazargan M. Optimal location of unified power flow controller for congestion management. Euro. Trans. Electr. Power 2010; 20: 600–610.   11.     Singh J G, Tripathy P, Singh S N, Srivastava S C. Development of a fuzzy rule based generalized unified power flow controller. Euro. Trans. Electr. Power 2009; 19: 702–717.   12.     Mohammadalizadeh-Shabestary M, Hashemi-Dezaki H, Mortazavian S, Askarian-Abyaneh H, Gharehpetian G. A general approach for optimal allocation of facts devices using equivalent impedance models of vscs. Int. Trans. Electrical Energ. Syst. 2015; 7: 1187–1203.  13.     Song Y H, Liu J Y. Steady-state power flow and voltage control by unified power-flow controllers, part 1: modelling and algorithms. Euro. Trans. Electr. Power 2000; 10: 53–57.    14.     Khederzadeh M, Ghorbani A. Statcom modeling impacts on performance evaluation of distance protection of transmission lines. Euro. Trans. Electr. Power 2011; 21: 2063–2079.  15.     Zafari A, Jazaeri M. Statcom systems in distribution and transmission system applications: a review of power-stage topologies and control methods. Int. Trans. Electr. Energ. Syst 2015. Doi: 10.1002/etep.2084.  16.     Kasztenny, B., Hatziadoniu, C. and Funk, A. (1999), VSI-based series compensation scheme for transmission lines. Euro. Trans. Electr. Power, 9: 101–108. doi:10.1002/etep.445009020  17.     N. G. Hingorani and L. Gyugyi, Understanding FACTS. New York: IEEE Press, 2000.  18.     G. N. Pillai , “A. Ghosh and A. Joshi , Torsional interaction studies on a power system compensated by SSSC and fixed capacitor,” IEEE Trans. Power Del. , vol. 18 , no. 3 , pp. 988 -993 , 2003  19.     Nagarajan, S. T., and Kumar, N. (2015), Fuzzy logic control of SVS for damping SSR in series compensated power system. Int. Trans. Electr. Energ. Syst., 25, 1860–1874. doi: 10.1002/etep.1937.  20.     Khazaie, J., Mokhtari, M., Badkubi, S., Khalilian, M. and Nazarpour, D. (2013), Sub-synchronous resonance mitigation via distributed power flow controller. Int. Trans. Electr. Energ. Syst., 23: 751–766. doi:10.1002/etep.1617  21.     Xie, X., Jiang, Q. and Han, Y. (2012), Damping multimodal subsynchronous resonance using a static var compensator controller optimized by genetic algorithm and simulated annealing. Euro. Trans. Electr. Power, 22: 1191–1204. doi:10.1002/etep.655.  22.     U. Malhotra and R. Gokaraju, "An add-on self-tuning control system for a UPFC application”, IEEE Trans. Ind. Electron. , vol. 61, no. 5, pp.2378-2388, 2014  23.     P. Mitra and G. K. Venayagamoorthy, “An adaptive control strategy for DSTATCOM applications in an electric ship power system,” IEEE Trans.Power Electron. vol. 25, no. 1, pp. 95–104, Jan. 2010.  24.     G. Loukianov, J. M. Cañedo, L. M. Fridman, and A. Soto-Cota, “Highorder block sliding-mode controller for a synchronous generator with an exciter system, ”IEEE Trans. Ind. Electron., vol. 58, no. 1, pp. 337–347,Jan. 2011  25.     Y. Mi, Y. Fu, C. Wang, and P. Wang, "Decentralized Sliding Mode Load Frequency Control for Multi-Area Power Systems," IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 4301-4309, 2013  26.     Domahidi, B. Chaudhuri, P. Korba, R. Majumder, and T. C. Green, “Self-tuning flexible ac transmission system controllers for power oscillation damping: A case study in real time,”IET Gener. Transm. Distrib. vol. 3, no. 12, pp. 1079–1089, Dec. 2009.  27.     R. Thirumalaivasan, M. Janaki and N. Prabhu, "Damping of SSR using subsynchronous current suppressor with SSSC”, IEEE Trans. PowerSyst. , vol. 28 , no. 1 , pp.64 -74 , 2013  28.     C. T. Chang and Y. Y. Hsu, “Design of an ANN tuned adaptive UPFC supplementary damping controller for power system dynamic performance enhancement,” Electr. Power Syst. Res., vol. 66, no. 3, pp. 259–265, Sep. 2003  29.     W. Qiao and R. G. Harley, “Indirect adaptive external neuro-control for a series capacitive reactance compensator based on a voltage source PWM converter in damping power oscillations, ”IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 77–85, Feb. 2007.  30.     X. Duan, H. Deng, and H. Li, “A saturation-based tuning method for fuzzy PID controller,”IEEE Trans. Ind. Electron., vol. 60, no. 11, pp. 5177– 5185, Nov. 2013.  31.     C.-H. Liu and Y.-Y. Hsu, "Design of a self-tuning PI controller for a STATCOM using particle swarm optimization”, IEEE Trans. Ind. Electron. , vol. 57 , no. 2 , pp.702 -715 , 2010  32.     R. Gokaraju and O. P. Malik, “Radial basis function identifier and pole shifting controller for power system stabilizer application, ”IEEE Trans. Energy Convers., vol. 19, no. 4, pp. 663–670, Dec. 2004  33.     K. R. Padiyar and N. Prabhu, “Analysis of subsynchronous resonance with three level twelve-pulse VSC based SSSC,” in Proc. IEEE TENCON-2003, Oct. 14–17, 2003.  34.     Schauder and Mehta, “Vector analysis and control of advanced static VAR compensators,” IEE Proc.-c, vol. 140, no. 4, pp. 299–306, Jul. 1993.  35.     K. R. Padiyar, Power System Dynamics—Stability and Control,2nd ed. Hyderabad, India: B.S. Publications, 2002  36.     L. S. Kumar and A. Ghosh, “Modeling and control design of a static synchronous series compensator,” IEEE Trans. Power Delivery, vol. 14, pp. 1448–1453, Oct. 1999.  37.     “First bench mark model for computer simulation of subsynchronous resonance,” IEEE Trans. Power App. Syst., vol. PAS-96, no. 5, pp.1565–1572, Sep. /Oct. 1977.  38.     Using MATLAB-SIMULINK. Natick, MA: Math Works, 1999.  39.     L. Ljung, System Identification: Theory for the User, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 1999.  40.     N. Zhou , D. J. Trudnowski , J. W. Pierre and W. A. Mittelstadt, "Electromechanical mode online estimation using regularized robust RLS methods", IEEE Trans. Power Syst. , vol. 23 , no. 4 , pp.1670 -1680 , 2008  41.     K. J. Åström and B. Wittenmark, Adaptive Control, 2nded. New York, NY, USA: Dover, 2008.  42.     G. P. Chen, O. P. Malik, G. S. Hope, Y. H. Qin, and G. Y. Xu, “An adaptive power system stabilizer based on the self-optimizing pole shift control strategy,” IEEE Trans. Energy Convers., vol. 8, no. 4, pp. 639-645,Dec. 1993  43.     H. Khalilinia and V. Venkatasubramanian. "Subsynchronous Resonance Monitoring Using Ambient High Speed Sensor Data,” IEEE Trans. Power Syst., 2015.   


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