Impact of DFIG‐based wind farm integration on sub‐synchronous torsional interaction between HVDC and thermal generators. Issue 17 (21st June 2018)

• Record Type: Journal Article
• Authors: Gao, Benfeng; Hu, Yunting; Song, Ruihua; Li, Ren; Zhang, Xuewei; Yang, Lin; Zhao, Shuqiang
• Is Part Of: IET generation, transmission & distribution. Volume 12:Issue 17(2018)
• Page Start: 3913
• Page End: 3923
• Publication Date: 2018-06-21
• Subjects: asynchronous generators -- wind power plants -- HVDC power transmission -- thermal power stations -- eigenvalues and eigenfunctions -- state‐space methods -- rectifying circuits; DFIG‐based wind farm integration -- sub‐synchronous torsional interaction -- thermal generators -- HVDC systems -- high‐voltage direct current system -- wind‐thermal bundled system -- WTBH system -- eigenvalue analysis -- improved block modelling method -- state‐space model -- electromagnetic transient simulation -- EMT simulation -- doubly‐fed induction generator -- SSTI -- HVDC rectifier station -- wind speed -- wind farm scale -- PSCAD‐EMTDC; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.0328
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : In western China, large‐scale wind power is generally bundled with thermal power, and transmitted to eastern China by high‐voltage direct current (HVDC) systems. This constitutes the wind–thermal bundled system transmitted by HVDC (WTBH). In this study, a typical studied system of WTBH is presented, and its models for eigenvalue analysis are introduced. To improve the efficiency of eigenvalue analysis, an improved block modelling method is proposed for building the state‐space model of WTBH. By eigenvalue analysis and electromagnetic transient (EMT) simulation, the impact of doubly‐fed induction generator (DFIG)‐based wind farm integration on sub‐synchronous torsional interaction (SSTI) between thermal generators (TGs) and HVDC was investigated. The sensitivity of the operating parameters of DFIG‐based wind farms was analysed, including wind speed, wind farm scale, and distance between the wind farm and HVDC rectifier station. The obtained results show that the integration of DFIG‐based wind farms can mitigate the SSTI between the TG and HVDC. The system becomes more stable as the wind speed and wind farm scale increase or the distance between the wind farm and HVDC rectifier station decreases. The conclusions of this study are validated through EMT simulations in PSCAD/EMTDC, and provide theoretical reference for practical WTBH projects.