A New Fuzzy controller for Damping of Sub Synchronous Resonance (SSR) in the modified IEEE First Bench Mark

Journal of Optimization in Industrial Engineering

دوره 15، شماره 2 - شماره پیاپی 33، آذر 2022، صفحه 45-55   

نوع مقاله: Original Manuscript

شناسه دیجیتال (DOI): 10.22094/joie.2022.1943281.1906

نویسندگان

Yaser Bostani¹؛ saeid jalilzadeh^{* 2}

¹Guilan Regional Electricity, Rasht, Iran

²Department of Electrical Engineering, University of Zanjan, Zanjan, Iran

چکیده

In this paper, the mitigating subsynchronous resonance (SSR) phenomenon has been designed in modified IEEE- first bench mark including DFIG-based wind farms connected compensated transmission lines that includes a series capacitor with fuzzy controller. In addition, wide- area measurement systems have been used in the fuzzy controller. This paper designs a fuzzy logic wide-area damping controller to mitigate SSR by considering the time delay caused by the (Phasor Measurement Unit) PMU measurement. The fuzzy controller is a supplementary signal at the stator voltage of the gird-side converter (GSC) of DFIG-primarily based wind farms. This controller is executed by including voltage and capacitor voltage variations of series capacitive compensated. The effectiveness and validity of the proposed auxiliary damping control had been verified on a modified scheme of the IEEE- first benchmark model via time area simulation analysis by using MATLAB/Simulink.

کلیدواژه‌ها

Fuzzy controller؛ Double fed induction generator؛ Rotor-side convertor؛ Grid-side convertorSC؛ Subsynchronous resonance

مراجع

Li, Y., Xie, X., Liu, H., Liu, H., , & Zhang, C. (2017).     Mitigation of sub-synchronous control interaction in wind power systems with GA-SA tuned damping controller. IFAC-PapersOnLine, 50(1), 8740-8745.

Miller, N. W., Sanchez-Gasca, J. J., Price, W. W., & Delmerico, R. W. (2003, July). Dynamic modeling of GE 1.5 and 3.6 MW wind turbine-generators for stability simulations. In 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No. 03CH37491) (Vol. 3, pp. 1977-1983). IEEE.

Mohammadpour, H. A., & Santi, E. (2014). Modeling and control of gate-controlled series capacitor interfaced with a DFIG-based wind farm. IEEE Transactions on Industrial Electronics, 62(2), 1022-1033.

Mohammadpour, H. A., & Santi, E. (2014, September). Sub-synchronous resonance analysis in DFIG-based wind farms: Definitions and problem identification—Part I. In 2014 IEEE Energy Conversion Congress and Exposition (ECCE) (pp. 812-819). IEEE.

Mohammadpour, H. A., & Santi, E. (2015). Optimal adaptive sub-synchronous resonance damping controller for a series-compensated doubly-fed induction generator-based wind farm. IET Renewable Power Generation, 9(6), 669-681.

Mohammadpour, H. A., & Santi, E. (2015). Optimal adaptive sub-synchronous resonance damping controller for a series-compensated doubly-fed induction generator-based wind farm. IET Renewable Power Generation, 9(6), 669-681.

Mohammadpour, H. A., & Santi, E. (2015). Optimal adaptive sub-synchronous resonance damping controller for a series-compensated doubly-fed induction generator-based wind farm. IET Renewable Power Generation, 9(6), 669-681.

Mohammadpour, H. A., Shin, Y. J., & Santi, E. (2014, March). SSR analysis of a DFIG-based wind farm interfaced with a gate-controlled series capacitor. In 2014 IEEE Applied Power Electronics Conference and Exposition-APEC 2014 (pp. 3110-3117). IEEE.

Mohammadpour, H., & Santi, E. (2015). SSR damping in wind farms using observed-state feedback control of DFIG converters. Electric Power Systems Research, 123, 57-66.

Moharana, A., Varma, R. K., & Seethapathy, R. (2014). SSR alleviation by STATCOM in induction-generator-based wind farm connected to series compensated line. IEEE Transactions on Sustainable Energy, 5(3), 947-957.

Momoh, J. A., Ma, X. W., & Tomsovic, K. (1995). Overview and literature survey of fuzzy set theory in power systems. IEEE Transactions on power systems, 10(3), 1676-1690.

Naduvathuparambil, B., Valenti, M. C., & Feliachi, A. (2002, March). Communication delays in wide area measurement systems. In Proceedings of the thirty-fourth southeastern symposium on system theory (Cat. No. 02EX540) (pp. 118-122). IEEE.

Piwko, R., Miller, N., Sanchez-Gasca, J., Yuan, X., Dai, R., & Lyons, J. (2006, August). Integrating large wind farms into weak power grids with long transmission lines. In 2006 CES/IEEE 5th International Power Electronics and Motion Control Conference (Vol. 2, pp. 1-7). IEEE.

Raiesdana, S. (2021). A Hybrid Method for Industrial Robot Navigation. Journal of Optimization in Industrial Engineering, 14(1), 219-234.

Rajaram, T., Reddy, J. M., & Xu, Y. (2016). Kalman filter based detection and mitigation of subsynchronous resonance with SSSC. IEEE Transactions on Power Systems, 32(2), 1400-1409.

Raju, D. K., Umre, B. S., Junghare, A. S., & Babu, B. C. (2016). Improved control strategy for subsynchronous resonance mitigation with fractional-order pi controller. International Journal of Emerging Electric Power Systems, 17(6), 683-692.

Raju, D. K., Umre, B. S., Junghare, A. S., & Babu, B. C. (2017). Mitigation of subsynchronous resonance with fractional-order PI based UPFC controller. Mechanical Systems and Signal Processing, 85, 698-715.

Rohit, C., Darji, P., & Jariwala, H. (2021). Modeling and Control of Static Synchronous Series Compensator Interfaced with DFIG-Based Wind Farm using PSO for SSR Alleviation. International Journal of Ambient Energy, (just-accepted), 1-24.

Sahni, M., Badrzadeh, B., Muthumuni, D., Cheng, Y., Yin, H., Huang, S. H., & Zhou, Y. (2012, July). Sub-synchronous interaction in Wind Power Plants-part II: An ercot case study. In 2012 IEEE Power and Energy Society General Meeting (pp. 1-9). IEEE.

Suriyaarachchi, D. H. R., Annakkage, U. D., Karawita, C., Kell, D., Mendis, R., & Chopra, R. (2012, July). Application of an SVC to damp sub-synchronous interaction between wind farms and series compensated transmission lines. In 2012 IEEE Power and Energy Society General Meeting (pp. 1-6). IEEE.

Tapia, A., Tapia, G., Ostolaza, J. X., & Saenz, J. R. (2003). Modeling and control of a wind turbine driven doubly fed induction generator. IEEE Transactions on energy conversion, 18(2), 194-204.

Tomsovic, K., Tapper, M., & Ingvarsson, T. (1993). A fuzzy information approach to integrating different transformer diagnostic methods. IEEE Transactions on Power Delivery, 8(3), 1638-1646.

Vajpayee, S., Panda, N. R., Behera, P., & Swain, S. C. (2020, July). Implementation of PLL algorithm in DFIG based wind turbine connected to utility grid. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 549-553). IEEE.

Wang, L., Xie, X., Jiang, Q., & Pota, H. R. (2013). Mitigation of multimodal subsynchronous resonance via controlled injection of supersynchronous and subsynchronous currents. IEEE Transactions on Power Systems, 29(3), 1335-1344.

Wang, Y., Wu, Q., Yang, R., Tao, G., & Liu, Z. (2018). H∞ current damping control of DFIG based wind farm for sub-synchronous control interaction mitigation. International Journal of Electrical Power & Energy Systems, 98, 509-519.

Xie, H., & de Oliveira, M. M. (2014, October). Mitigation of SSR in presence of wind power and series compensation by SVC. In 2014 International Conference on Power System Technology (pp. 2819-2826). IEEE.

Xie, H., Li, B., Heyman, C., De Oliveira, M. M., & Monge, M. (2014). Subsynchronous resonance characteristics in presence of doubly‐fed induction generator and series compensation and mitigation of subsynchronous resonance by proper control of series capacitor. IET renewable power generation, 8(4), 411-421.

Xu, L., & Cartwright, P. (2006). Direct active and reactive power control of DFIG for wind energy generation. IEEE Transactions on energy conversion, 21(3), 750-758.

Xu, L., & Wang, Y. (2007). Dynamic modeling and control of DFIG-based wind turbines under unbalanced network conditions. IEEE Transactions on power systems, 22(1), 314-323.

Zhang, X., Xie, X., Liu, H., Liu, H., Li, Y., & Zhang, C. (2017). Mitigation of sub-synchronous control interaction in wind power systems with GA-SA tuned damping controller. IFAC-PapersOnLine, 50(1), 8740-8745.