scholarly journals PID passivity‐based droop control of power converters: Large‐signal stability, robustness and performance

2021 ◽  
Author(s):  
Daniele Zonetti ◽  
Gilbert Bergna‐Diaz ◽  
Romeo Ortega ◽  
Nima Monshizadeh
Keyword(s):  
Power Converters ◽  
Droop Control ◽  
Large Signal ◽  
Signal Stability ◽  
Stability Robustness ◽  
And Performance

scholarly journals The Control Parameter Determination Method for Bidirectional DC-DC Power Converters Interfaced Storage Systems Based on Large Signal Stability Analysis

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1018 ◽  
Author(s):  
Liu ◽  
Bian ◽  
Cao ◽  
Zhang ◽  
Meng
Keyword(s):  
Control Parameter ◽  
Power Converters ◽  
Storage Systems ◽  
Parameter Determination ◽  
Determination Method ◽  
Large Signal ◽  
Signal Stability ◽  
Dc Power ◽  
The Stability ◽  
Storage Units

In DC microgrid (DC-MG), the loads connected with converters under strict control areconsidered as CPLs (constant power loads). When the voltage of CPLs decreases, the currentincreases and the negative impedance characteristic of CPLs cause instability easily. Fortunately,appropriate control for energy storage units could improve the system stability. However, mosttraditional control methods for bidirectional DC-DC power converters (BDC) connected withbattery storage units do not quantitatively consider the stability influences of control parameters.This paper quantitatively analyzes the stability influence of the BDC current-mode controlparameters and the negative impact of CPLs and derives the control parameter determinationmethod for BDC interfaced storage systems. Large signal stability constraints are obtained in termsof mixed potential function. According to the constraints, the large signal stability is improved whenthe BDC control parameter kp increases, while the stability is degraded when the power of CPLsincreases. The control parameter determination method is very effective and convenient to apply,and the appropriate parameter kp for BDC is determined. The regions of asymptotic stability (RAS)identify that the proposed control parameter determination method could improve the systemstability effectively. The determination method is fully verified by the simulation and experimental results.

scholarly journals Research on Large-Signal Stability of DC Microgrid Based on Droop Control

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3186 ◽  
Author(s):  
Haifeng Liang ◽  
Yuxi Huang ◽  
Hao Sun ◽  
Zhiqian Liu
Keyword(s):  
Potential Function ◽  
Function Method ◽  
Control Method ◽  
Multiple Time ◽  
Droop Control ◽  
Mixed Potential ◽  
Large Signal ◽  
Dc Microgrid ◽  
Signal Stability ◽  
Potential Function Method

Ensuring the large signal stability of the DC microgrid is the premise of the safe operation of the DC microgrid, but the research on the large-signal stability of microgrids with multiple droop control micro-sources is still scarce. In this paper, a DC microgrid system model with multiple droop control micro-sources was established by appropriate simplification. Addressing the problem that most stability research methods cannot be quantitatively analyzed, the mixed potential function method was used to analyze the large signal stability of the system. However, the criterion obtained by the conventional mixed potential function method is complicated and contains multiple time-varying parameters, which is not convenient for analysis. Therefore, the simple form of the criterion was obtained through simplification and the analysis proved the rationality of the simplification. On this basis, a nonlinear droop control method was proposed to improve the anti-interference ability of the system. Finally, the accuracy of the large signal stability criterion and the effectiveness of nonlinear droop control on the system’s large signal stability were verified by simulation.

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