عنوان مقاله
کنترل جمعی SFCL و SMES برای بهبود قابلیت گذر از خطا و هموارسازی نوسان برق مزرعه بادی DFIG
فهرست مطالب
مقدمه
سیستم مطالعه و مدلسازی
بهینه سازی پیشنهادی
مطالعه شبیه سازی
نتیجه گیری
بخشی از مقاله
بهینه سازیSFCL
بهینه سازیSFCL براساس بازداری از افزایش ناگهانی انرژی جنبشی در روتور DFIG در طول خطا و اتلاف انرژیSFCL انجام می شود. در نتیجه، نه تنها محدودیت جریان خطا و عیب، بلکه همچنین به حداقل رساندن افت ولتاژ پایانه و توان خروجی حاصل می گردد. بهبود قابلیتFRT DFIG دور از انتظار نمی باشد.
کلمات کلیدی:
Cooperative Control of SFCL and SMES for Enhancing Fault Ride Through Capability and Smoothing Power Fluctuation of DFIG Wind Farm Issarachai Ngamroo and Tanapon Karaipoom Abstract—This paper deals with a cooperative control of a resistive type superconducting fault current limiter (SFCL) and a superconducting magnetic energy storage (SMES) for enhancing fault ride through (FRT) capability and smoothing power fluctuation of the doubly fed induction generator (DFIG)-based wind farm. When the system faults occur, the SFCL is used to limit the fault current, alleviate the terminal voltage drop, and transient power fluctuation so that the DFIG can ride through the fault. Subsequently, the remaining power fluctuation is suppressed by the SMES. The resistive value of the SFCL as well as the superconducting coil inductance of the SMES are simultaneously optimized so that a sudden increase in the kinetic energy in the DFIG rotor during faults, an initial stored energy in the SMES coil, an energy loss of the SFCL, and an output power fluctuation of the DFIG are minimum. The superior control effect of the cooperative SFCL and SMES over the individual device is confirmed by simulation study. Index Terms—Doubly fed induction generator (DFIG) wind turbine, optimization, superconducting fault current limiter (SFCL), superconducting magnetic energy storage (SMES). I. INTRODUCTION RECENTLY, the doubly fed induction generator (DFIG)- based wind farms have been paid attentions extensively due to low cost of installation, controllable power output etc. [1]. Nevertheless, the DFIG faces two unavoidable problems, i.e., output power fluctuation and fault ride through (FRT) capability. The power fluctuation due to intermittent wind speeds may deteriorate power quality and system stability. Besides, the DFIG is vulnerable to the low voltage situation due to system faults. To protect the damage of the DFIG, the DFIG will be tripped from the system. The tripping of large wind farms may cause the system instability. To overcome both problems, the superconducting magnetic energy storage (SMES) has been applied [2]–[4]. Since the SMES has no any effect on the fault current limitation, the enhancement of the FRT capability by the SMES may be degraded when severe faults are adjacent to the SMES location. On the other hand, the resistive type superconducting fault current limiter (SFCL) has been used to enhance the FRT capability Manuscript received June 28, 2014; accepted July 14, 2014. Date of publication July 18, 2014; date of current version August 6, 2014. This work was supported by the King Mongkut’s Institute of Technology Ladkrabang Research Fund. The authors are with the School of Electrical Engineering, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand (e-mail: ngamroo@gmail.com; krpoom@gmail.com). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TASC.2014.2340445 Fig. 1. DFIG wind turbine system with SFCL and SMES. Fig. 2. Characteristic of resistive type SFCL. of the DFIG wind turbine [5], [6]. Study results show that the higher the value of SFCL resistance, the better improvement of the FRT capability can be achieved. Nevertheless, the high resistance results in the high energy loss during the period of fault current limitation. Additionally, the resistance value of the SFCL in these works is selected based on trial-and-error which cannot guarantee the optimal value. The problems of the high energy loss and the optimal value of the resistance should be taken into account in the selection of the SFCL resistance. To tackle all shortcomings above, the new optimization technique of the cooperative SFCL and SMES is proposed in this paper. SFCL and SMES models, optimization, and simulation results are described.
