Singular value decomposition-based dynamic response analysis of VSC-MTDC/AC systems for renewable energy integration

Abstract

The dynamic performance of voltage source converter-based multi-terminal high-voltage direct current (VSC-MTDC) grid for large-scale renewable energy integration is becoming a concern. This study proposes a system-level dynamic response model of wind farm (WF)-MTDC-main AC systems, and then analyses the dynamic performance based on the singular value decomposition (SVD) technique. In the modelling, an improved virtual synchronous machine control is developed, and the interaction between AC frequency and DC voltage can be readily described. Using the SVD technique, parameters of the controllers are tuned, thereby making the AC frequency and DC voltage deviations within the limitations. Some oscillation modes of the system are observed and virtual power system stabiliser is proposed to suppress the oscillations. Additionally, the oscillation can be mitigated by emulating capacitance-based inertia response. The efficiency of the proposed model and analysis is verified through the frequency-domain and time-domain results.

Keywords

• HVDC power convertors
• power grids
• synchronous machines
• power transmission control
• wind power plants
• power system stability
• machine control
• power generation control
• dynamic response
• voltage control
• HVDC power transmission
• singular value decomposition
• voltage-source convertors
• singular value decomposition-based dynamic response analysis
• dynamic performance
• large-scale renewable energy integration
• system-level dynamic response model
• WF
• VSC
• frequency-domain analysis
• time-domain analysis
• capacitance-based inertia response emulation
• system oscillation modes
• DC voltage deviations
• AC frequency
• wind farm-MTDC-main AC systems
• voltage source converter-based multiterminal high-voltage direct current grid
• VSC-MTDC-AC systems
• virtual power system stabiliser
• SVD technique
• improved virtual synchronous machine control