پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 13 |
| تعداد شماره‌ها | 200 |
| تعداد مقالات | 2,008 |
| تعداد مشاهده مقاله | 2,680,168 |
| تعداد دریافت فایل اصل مقاله | 1,937,362 |
Alleviating the Small-Signal Oscillations of the SMIB Power System with the TLBO–FPSS and SSSC Robust Controller | ||
| Journal of Electrical and Computer Engineering Innovations (JECEI) | ||
| مقاله 10، دوره 5، شماره 2 - شماره پیاپی 10، مهر 2017، صفحه 163-170 اصل مقاله (3 M) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22061/jecei.2017.789 | ||
| نویسندگان | ||
| H. Shayeghi؛ A. Ahmadpour؛ E. Mokaramian | ||
| Department of Electrical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran | ||
| تاریخ دریافت: 14 دی 1396، تاریخ بازنگری: 23 بهمن 1396، تاریخ پذیرش: 15 اسفند 1396 | ||
| چکیده | ||
| Power systems are subjected to small–signal oscillations that can be caused by sudden change in the value of large loads. To avoid the dangers of these oscillations, the Power System Stabilizers (PSSs) are used. When the PSSs can not be effective enough, installation of the Thyristor–based compensators to increase the oscillations damping is a suitable method. In this paper, a Static Synchronous Series Compensator (SSSC) is used in Single–Machine Infinite–Bus (SMIB). To control the signal of the output voltage of SSSC, a robust controller is used. Also, we proposed a hybrid control method to adjust the PSS voltage using Teaching–Learning Based Optimization (TLBO) algorithm and Fuzzy Inference System (FIS). Objective functions of designing parameters are based on Integral of Time multiplied by Absolute value of the Error (ITAE). The time–variations of angular speed deviations are investigated in different modes, including: with SSSC/PSS, without SSSC/PSS, different input mechanical power, and different system parameters. | ||
| کلیدواژه‌ها | ||
| Small–signal oscillations؛ Power system stabilizer؛ Static synchronous series compensator؛ Teaching–learning based optimization؛ Fuzzy inference system | ||
| مراجع | ||
|
[1] K. R. Padiyar, “FACTS Controllers in power transmission and distribution,” New Age International Publishers, pp. 1–6, 2007. [2] G. Zareiegovar, H. Shayeghi, A. Sakhavati, and V. Nabaei, “A new scheme to control SSSC in interconnected power systems,” presented at the 9th Int. Conf. Environment and Elec. Eng. (EEEIC), Czech Republic: Prague, May 2010. [3] A. Griffo and D. Lauria, “Two-Leg Three-Phase inverter control for STATCOM and SSSC applications,” IEEE Trans. Power Delivery, vol. 23, no. 1, pp. 361–370, Jan. 2008. [4] H. Wang and W. Du, “Analysis and damping control of power system low-frequency oscillations,” Springer: Power Electronics and Power Systems, New York, 2016. [5] X. P. Zhang, C. F. Xue, and K. R. Godfrey, “Modelling of the static synchronous series compensator (SSSC) in three-phase Newton power flow,” IET Proceedings-Generation Transmission and Distribution, vol. 151, no. 4, pp. 486–494, July 2004. [6] M. Bongiorno, L. Angquist, and J. Svensson, “A novel control strategy for subsynchronous resonance mitigation using SSSC,” IEEE Trans. Power Delivery, vol. 23, no. 2, pp. 1033–1041, Apr. 2008. [7] R. Thirumalaivasan, M. Janaki, and N. Prabhu, “Damping of SSR using subsynchronous current suppressor with SSSC,” IEEE Trans. Power System, vol. 28, no. 1, pp. 64–74, Feb. 2013. [8] T. Rajaram, J. M. Reddy, and Y. Xu, “Kalman filter based detection and mitigation of subsynchronous resonance with SSSC,” IEEE Trans. Power System, vol. 32, no. 2, pp. 1400–1409, Mar. 2017. [9] H. F. Wang, “Static synchronous series compensator to damp power system oscillations,” Electric Power Systems Research, vol. 54, no. 2, pp. 113–119, May. 2000. [10] S. R. Khuntia, S. Panda, “ANFIS approach for SSSC controller design for the improvement of transient stability performance,” Mathematical and Computer Modelling, vol. 57, no. 1, pp. 289–300, Jan. 2013.
[11] M. Ebadian, H. R. Najafi, and R. Ghanizadeh, “Controller design of SSSC for power system stability enhancement,” Iranian Journal of Power Engineering (IJPE), vol. 1, no. 1, pp. 7–17, Jan. 2016. [12] V. K. Tayal and J.S. Lather, “Reduced order H∞ TCSC controller & PSO optimized fuzzy PSS design in mitigating small signal oscillations in a wide range,” Electrical Power and Energy Systems, vol. 68, pp. 123–131, Jun. 2015. [13] B. C. Pal, “Robust pole placement versus root-locus approach in the context of damping interarea oscillations in power systems,” IET Proc. Gener. Transm. Distrib., vol. 149, no. 6, pp. 739–745. Nov 2002. [14] R. Sadikovic, P. Korba, and G. Andersson, “Application of FACTS devices for damping of power system oscillations,” in Proc. IEEE Power. Tech Conf., St. Petersburg, Russia, June 2005. [15] L. Rouco and F.L. Pagola, “An eigen value sensitivity approach to location and controller design of controllable series capacitor for damping power system oscillations,” IEEE Trans. Power System, vol. 12, no. 4, pp. 1660–1666, Nov. 1997. [16] H. Shayeghi, H. A. Shayanfar, and O. Abedinia, “Fuzzy PSS design for a multi-machine power system using improved genetic algorithm,” Computer Science and Engineering, vol. 2, no. 1, pp. 1–8, 2012. [17] R. V. Rao, V. J. Savsani, and D. P. Vakharia, “Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems,” Computer-Aided Design, vol. 43, no. 3, pp. 303–315, Mar. 2011. [18] R. V. Rao, V. J. Savsani, and D. P. Vakharia, “Teaching–Learning-based optimization: An optimization method for continuous non-linear large scale problems,” Information Sciences, vol. 183, no. 1, pp. 1–15, Jan. 2012. [19] R. V. Rao, V. J. Savsania, and J. Balicb, “Eaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems,” Engineering Optimization, vol. 44, no. 12, pp. 1447–1462, Dec. 2012. [20] S. C. Satapathy, A. Naik, and K. Parvathi, “A teaching learning based optimization based on orthogonal design for solving global optimization problems,” Springer Int. Publishing, pp. 2–12, Dec. 2013. [21] R. V. Rao, “Teaching-Learning-Based optimization algorithm,” Springer: International Publishing Switzerland, pp. 9–12, 2016. [22] M. Clerc and J. Kennedy, “The particle swarm—explosion, stability, and convergence in a multidimensional complex space,” IEEE Trans. Evolutionary Computation, vol. 6, no. 1, pp. 58–73, 2002. | ||
|
آمار تعداد مشاهده مقاله: 5,536 تعداد دریافت فایل اصل مقاله: 632 |
||