INVERTER-BASED distributed generation(DG)and renewable energy sources(RESs)are recognized as key elements to address the challenge of economically harvesting energy while,at the same time,achieving net-zero targets.Ho...INVERTER-BASED distributed generation(DG)and renewable energy sources(RESs)are recognized as key elements to address the challenge of economically harvesting energy while,at the same time,achieving net-zero targets.However,inverter-based generation decreases the physical inertia available in the system and increases uncertainty.展开更多
This paper presents a quantitative assessment of the transient stability of grid-forming converters,considering current limitations,inertia,and damping effects.The contributions are summarized in two main aspects:Firs...This paper presents a quantitative assessment of the transient stability of grid-forming converters,considering current limitations,inertia,and damping effects.The contributions are summarized in two main aspects:First,the analysis delves into transient stability under a general voltage sag scenario for a converter subject to current limitations.When the voltage sag exceeds a critical threshold,transient instability arises,with its severity influenced by the inertia and damping coefficients within the swing equation.Second,a comprehensive evaluation of these inertia and damping effects is conducted using a model-based phase-portrait approach.This method allows for an accurate assessment of critical clearing time(CCT)and critical clearing angle(CCA)across varying inertia and damping coefficients.Leveraging data obtained from the phase portrait,an artificial neural network(ANN)method is presented to model CCT and CCA accurately.This precise estimation of CCT enables the extension of practical operation time under faults compared to conservative assessments based on equal-area criteria(EAC),thereby fully exploiting the system's low-voltage-ride-through(LVRT)and fault-ride-through(FRT)capabilities.The theoretical transient analysis and estimation method proposed in this paper are validated through PSCAD/EMTDC simulations.展开更多
Faced with the wave of global energy structure transition,it is imperative to promote the application of renewable power generators(RPGs),such as wind energy,in power systems.Thus,wind turbine generation(WTG)has been ...Faced with the wave of global energy structure transition,it is imperative to promote the application of renewable power generators(RPGs),such as wind energy,in power systems.Thus,wind turbine generation(WTG)has been gradually promoted.To improve the inertia response(IR)and primary frequency regulation(PFR)capability of WTG in power systems,the gridforming control strategy of WTG(GFM-WTG),which displays an independent IR ability,has shown great potential in PFR,especially in weak grids.展开更多
文摘INVERTER-BASED distributed generation(DG)and renewable energy sources(RESs)are recognized as key elements to address the challenge of economically harvesting energy while,at the same time,achieving net-zero targets.However,inverter-based generation decreases the physical inertia available in the system and increases uncertainty.
基金supported by the EPSRC project‘Sustainable Urban Power Supply through Intelligent Control and Enhanced Restoration of AC/DC Networks'under Grant EP/T021985/1.
文摘This paper presents a quantitative assessment of the transient stability of grid-forming converters,considering current limitations,inertia,and damping effects.The contributions are summarized in two main aspects:First,the analysis delves into transient stability under a general voltage sag scenario for a converter subject to current limitations.When the voltage sag exceeds a critical threshold,transient instability arises,with its severity influenced by the inertia and damping coefficients within the swing equation.Second,a comprehensive evaluation of these inertia and damping effects is conducted using a model-based phase-portrait approach.This method allows for an accurate assessment of critical clearing time(CCT)and critical clearing angle(CCA)across varying inertia and damping coefficients.Leveraging data obtained from the phase portrait,an artificial neural network(ANN)method is presented to model CCT and CCA accurately.This precise estimation of CCT enables the extension of practical operation time under faults compared to conservative assessments based on equal-area criteria(EAC),thereby fully exploiting the system's low-voltage-ride-through(LVRT)and fault-ride-through(FRT)capabilities.The theoretical transient analysis and estimation method proposed in this paper are validated through PSCAD/EMTDC simulations.
基金supported by the National Natural Science Foundation of China(Grant No.52325702)。
文摘Faced with the wave of global energy structure transition,it is imperative to promote the application of renewable power generators(RPGs),such as wind energy,in power systems.Thus,wind turbine generation(WTG)has been gradually promoted.To improve the inertia response(IR)and primary frequency regulation(PFR)capability of WTG in power systems,the gridforming control strategy of WTG(GFM-WTG),which displays an independent IR ability,has shown great potential in PFR,especially in weak grids.
