Summary
In this study, a single synchronous generator connected to an infinite bus (SMIB), augmented by a DFIG, was assessed by studying a system model at various operating positions, wind speeds, and DFIG ratings. In addition, several tests were conducted to compare power systems with and without a connected DFIG. Following detailed analysis and residual configuring, we identified the optimal positioning of the DFIG rotor‐ and grid‐side converter controllers for mitigating small oscillations. Three distinct signals were tested at the selected position to determine the most robust signal in terms of several key characteristics, namely, high average residue magnitude and average phase angle of residue. This was done to ensure system stability without reducing or destabilizing other system modes under a range of operating conditions. Based on the results of eigenvalue analysis, participation factor calibration, and time domain simulation, this study validated and demonstrated the effectiveness of the proposed modified system.
This study modifies the IEEE first benchmark model (FBM) by connecting nearby doubly-fed induction generator (DFIG) wind farms to utilize the inbuilt convertor controller for damping the sub-synchronous resonance (SSR) oscillations. The overall model was evaluated to determine the induction generator effect (IGE) and torsional interaction (TI) of sub-synchronous resonance (SSR) at various compensation levels, wind speeds, and system parameter settings both with and without a DFIG wind farm. The results of this detailed analysis demonstrated that augmenting an IEEE FBM with a DFIG wind farm suppresses SSR-induced IGE in the power system. An optimal orientation was investigated from rotor-side converter (RSC) and grid-side converter (GSC) of DFIG wind farm using residue configuration to design a SSR supplementary damping controller (SSDC). To suppress the TI effect of SSR, the SSDC implements damping control using three different feedback signals: line current, line power, and voltage across a series capacitor. A robust signal for achieving smooth damping under various operating conditions was defined in terms of several key characteristics, namely, high average residue magnitude, average phase angle of residue and avoidance of destabilisation of other dominant modes. The proposed model was validated using eigenvalue analysis, participation factor calculation and time-domain simulation.
The rapid growth of non-conventional energy sources makes it important to identify the sub-synchronous oscillationdamping capacity of generating systems such as doubly fed induction-generator-based (DFIG) wind farms under the IEEE-first benchmark model (FBM). In this study, a system, in which the FBM is augmented to include DFIG generation was evaluated at various compensation levels, wind speeds, and DFIG ratings. On the basis of this analysis, the authors propose a basis for the selection of an accurate configuration of wind farms penetration at a given compensation for damping and reducing the risk of sub-synchronous resonance (SSR) in the FBM-DFIG augmented system. It is also demonstrated that, with a suitable DFIG rating, carefully choosing the gains of the DFIG inbuilt converter controllers and an acceptable distance of connected short transmission line between the DFIG and the synchronous generator can suppress induced SSR at 60% compensation, eliminating the need for a damping controller. To obtain higher ranges of compensation level, a corresponding DFIG wind farm asset is suggested for reducing the risk of SSR. The proposed model was validated using eigenvalue analysis, calculation of the participation factor, and time-domain simulation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.