Sub-Synchronous Resonance damping via Doubly Fed Induction Generator |
| |
| Affiliation: | 1. Electrical Engineering Department, Urmia University, Urmia, Iran;2. Electrical Engineering Department, University of South Florida, FL, United States;1. Facultad de Ingeniería, Universidad Nacional de la Patagonia San Juan Bosco, Ruta 1 S/N Ciudad Universitaria, 9000 Comodoro Rivadavia, Argentina;2. Instituto de Investigaciones en Ing. Eléctrica (IIIE) Alfredo Desages (UNS-CONICET), Dpto. de Ing. Eléctrica y de Computadoras, Universidad Nacional del Sur, San Andrés 800, 8000 Bahía Blanca, Argentina;1. State Key Laboratory of Power Transmission Equipment and System Security and New Technology (Chongqing University), Shapingba District, Chongqing 400044, China;2. Sichuan Electric Vocational and Technical College, Chengdu 610072, China;3. Institute of Energy Technology, Aalborg University, Aalborg East DK-9220, Denmark;1. State Key Laboratory of Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;2. National Power Dispatching and Control Center, Beijing 100032, China;3. North China Electric Power Research Institute, Beijing 100007, China |
| |
| Abstract: | Interests of low frequency oscillation damping with the Doubly Fed Induction Generator (DFIG) has been increased recently. In addition, it is widely accepted that, the Sub-Synchronous Resonance (SSR) is another unfavorable dynamical phenomenon in power systems. In this study, the implementation of the DFIG in SSR mitigation will be investigated. The IEEE second benchmark model aggregated with a DFIG based wind farm is employed as the case study. Two different control methodologies are proposed: a Fuzzy Logic Damping Controller (FLDC) and a conventional damping controller (CDC) that are added to the main control loop of the DFIG in order to damp the SSR. To validate the results of SSR suppression via DFIG, several case studies are introduced based on changing the operation point of the system and duration of the fault. It has been shown that the DFIG can damp the SSR through both proposed methodologies, but when the system operating point or fault duration is changed, the FLDC can present a cost-effective solution for SSR damping. The Fast Fourier Transform (FFT), simulation results, and a method based on performance index (PI) are conducted to compare two controllers through various cases in Matlab. |
| |
| Keywords: | Doubly Fed Induction Generator (DFIG) Power system dynamic Sub-Synchronous Resonance (SSR) Fuzzy logic controller (FLC) |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
