Transient Stability Assessment for Inverter-Interfaced Distributed Generators by Using Energy Function

2019 ◽  
Author(s):  
Zhoujun Ma ◽  
Moduo Yu ◽  
Yong Zhang ◽  
Mingqin Zhang ◽  
Xinze Xi ◽  
...  
Keyword(s):  
Energy Function ◽  
Transient Stability ◽  
Stability Assessment ◽  
Distributed Generators

scholarly journals Lyapunov-Based Large Signal Stability Assessment for VSG Controlled Inverter-Interfaced Distributed Generators

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2273 ◽  
Author(s):  
Meiyi Li ◽  
Wentao Huang ◽  
Nengling Tai ◽  
Moduo Yu
Keyword(s):  
Transient Stability ◽  
Stability Domain ◽  
Assessment Method ◽  
Stability Assessment ◽  
Large Signal ◽  
Machine Model ◽  
Signal Stability ◽  
Distributed Generators ◽  
Linearized Stability ◽  
The Stability

Inverter-interfaced distributed generators (IIDGs) have been widely applied due to their control flexibility. The stability problems of IIDGs under large signal disturbances, such as large load variations and feeder faults, will cause serious impacts on the system. The virtual synchronous generator (VSG) control is an effective scheme for IIDGs to increase transient stability. However, the existing linearized stability models of IIDGs are limited to small disturbances. Hence, this paper proposes a Lyapunov approach based on non-linearized models to assess the large signal stability of VSG-IIDG. The electrostatic machine model is introduced to establish the equivalent nonlinear model. On the basis of Popov’s theory, a Lyapunov function is derived to calculate the transient stability domain. The stability mechanism is revealed by depicting the stability domain using the locus of the angle and the angular frequency. Large signal stability of the VSG-IIDG is quantified according to the boundary of the stability domain. Effects and sensitivity analysis of the key parameters including the cable impedance, the load power, and the virtual inertia on the stability of the VSG-IIDG are also presented. The simulations are performed in PSCAD/EMTDC and the results demonstrate the proposed large signal stability assessment method.

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