Application of Fuzzy Adaptive PID Control for Rotor Side Converter of DFIG Based WPGS

Abstract:

PI control strategy was introduced into rotor side converter of DFIG control with the mathematical models and the structure of stator flux-oriented vector control. As the main problem of conventional PID controller with parameters fixed in the whole control process, and influence of three PID control parameters can not be distinguished between different stages, so, the adaptive fuzzy PID control was introduced into RSC control system. The parameters were tuned by adaptive fuzzy control, the design of membership was designed and the control feature was verified with simulation.

• Periodical: Applied Mechanics and Materials (Volumes 541-542)
• Pages: 1238-1242
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.541-542.1238
• Online since: March 2014
• Authors: Wen Jian Si, Nan Zhang
• Keywords: Double Fed Induction Generation (DFIG), Fuzzy Control, PID Control, Rotor-Side Converter (RSC), Simulation

References

[1] Wu Wang. Application of direct feedback linearization control for permanent magnet synchronous generator based wind energy conversion system. Applied Mechanics and Materials, Volume 313-314. 2012 2nd International Conference on Machinery Electronics and Control Engineering, ICMECE 2012 (12): 571-576.

DOI: 10.4028/www.scientific.net/amm.313-314.571

[2] Wang Wu, Su Liang-yu. Application of CMAC-PID Compound Control in PMLSM Servo System[J]. Advanced Materials Research Vols. 341-342(2012), pp.780-784.

DOI: 10.4028/www.scientific.net/amr.341-342.780

[3] Idsoe Nass B, Undeland T, Gjengedal T. Methods for reduction of voltage unbalance in weak grids connected to wind plants, IEEE workshop on wind power and the impacts on power systems, Norway, 2002: 17-18.

[4] Yuan Xufeng, Sun Haishun, When Jinyu, et al. DFIG control design based on internal model controller, 2010 China International Conference on Electricity Distribution. pp.1-6.

[5] QU Dongcai, ZHAO Guorong. On IMC structure scheme based on ANN's inverse model for nonlinear system and simulation researches, Proceedings of the 29th Chinese Control conference, July 29-31, 2010, Beijing, China, pp.1168-1171.

[6] TAN Xun-qiong, TANG Jie, WU Zheng-qiu . 10 MW variable speed direct-driven wind turbines modeling and Matlab simulation [J]. Power System Protection and Control, 2011, 39(24): 31-37.

[7] HU Jiabing, Yi Kang He. Reinforced control and operation of DFIG-based wind generation system under unbalanced grid voltage conditions, IUEEE transaction on Energy Conversion. 2009, 24(4): 905-915.

DOI: 10.1109/tec.2008.2001434

[8] Yongfeng Ren, Hanshan Li, Jie zhou, et al. Dynamic characteristics analysis of DIFG base on IMC, APPEEC 2009. pp.935-939.

[9] LIU Zhi-ya, QU Yan-bin, LIN Wen-pin. Research on improved MPPT control method of direct-drive wind power generation system [J]. Micromotors, 2010(4): 49-51.

[10] XIA An-jun, HU Shu-ju, XU Hong-hua. Research on dynamic power curve control strategy of MPPT for wind turbine. ELECTRIC DRIVE, 2011(12): pp.61-65.

[11] MENG Tao, JI Zhi-cheng. Two-frequency-loop control for wind energy conversion system based on sliding mode control [J]. Electric Machines and Control, 2009, (11): 152-156.

[12] HUANG Jin-cheng, YANG Ping. An optimize maximum power point tracking algorithm for small scale wind power generator. ELECTRIC MACHINES & CONTROL APPLICATION, 2011(2): pp.44-48.

[13] ZHANG Xiaolian, LI Qun, YIN Minghui, et al. An improved HILL-climbing searching method based on halt mechanism. Proceedings of CSEE. 2012, 32(14): 128-134.

[14] Wang Wu, Wang Hong-ling, Bai Zheng-min. Fault Diagnosis of Three Level Inverter Based on Improved Neural Networks[J]. Lecture Notes in Electrical Engineering, 2011, Vol. 97, pp.55-62.

DOI: 10.1007/978-3-642-21697-8_8