D–Q Impedance Based Stability Analysis and Parameter Design of Three-Phase Inverter-Based AC Power Systems

Cao, Wenchao; Ma, Yiwei; Yang, Liu; Wang, Fei; Tolbert, Leon M.

doi:10.1109/tie.2017.2682027

Cited by 105 publications

(65 citation statements)

References 28 publications

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“…Instability undermines system resilience and should be avoided at the design stage. Indeed, small-signal stability analysis for microgrids under centralized hierarchical controls has been extensively studied [6]- [8], but little work has been done investigating performance of microgrids under distributed control, especially with communication latency considered.…”

mentioning

confidence: 99%

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Yan

Shi

Bian

et al. 2019

IEEE Trans. Smart Grid

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Distributed control, as a potential solution to decreasing communication demands in microgrids, has drawn much attention in recent years. Advantages of distributed control have been extensively discussed, while its impacts on microgrid performance and stability, especially in the case of communication latency, have not been explicitly studied or fully understood yet. This paper addresses this gap by proposing a generalized theoretical framework for small-signal stability analysis and performance evaluation for microgrids using distributed control. The proposed framework synthesizes generator and load frequency-domain characteristics, primary and secondary control loops, as well as the communication latency into a frequency-domain representation which is further evaluated by the generalized Nyquist theorem. In addition, various parameters and their impacts on microgrid dynamic performance are investigated and summarized into guidelines to help better design the system. Case studies demonstrate the effectiveness of the proposed approach.

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confidence: 99%

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Yan

Shi

Bian

et al. 2019

IEEE Trans. Smart Grid

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“…Values λ 1,2 −1.2277 × 104 ± 0.0332 × 104i λ 3,4 −0.0689 × 104 ± 0.2954 × 104i λ 5,6 −0.085 × 104 ± 0.281 × 104i λ 7,8 −0.189 × 104 ± 0.007 × 104i λ 9,10 −0.011 × 104 ± 0.030 × 104i λ 11,12 −16 ± 25i λ 13 −3 Figure A1 and Table A1 show that the eigenvalues of the IIDG complete model are distributed in multiple frequency bands, with significant multi-time scale characteristics. The IIDG multi-time scale model can be obtained by using strict model simplification and extracting perturbation factors.…”

Section: Eigenvaluesmentioning

confidence: 99%

Multi-Time Scale Model Order Reduction and Stability Consistency Certification of Inverter-Interfaced DG System in AC Microgrid

et al. 2018

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AC microgrid mainly comprise inverter-interfaced distributed generators (IIDGs), which are nonlinear complex systems with multiple time scales, including frequency control, time delay measurements, and electromagnetic transients. The droop control-based IIDG in an AC microgrid is selected as the research object in this study, which comprises power droop controller, voltage-and current-loop controllers, and filter and line. The multi-time scale characteristics of the detailed IIDG model are divided based on singular perturbation theory. In addition, the IIDG model order is reduced by neglecting the system fast dynamics. The static and transient stability consistency of the IIDG model order reduction are demonstrated by extracting features of the IIDG small signal model and using the quadratic approximation method of the stability region boundary, respectively. The dynamic response consistencies of the IIDG model order reduction are evaluated using the frequency, damping and amplitude features extracted by the Prony transformation. Results are applicable to provide a simplified model for the dynamic characteristic analysis of IIDG systems in AC microgrid. The accuracy of the proposed method is verified by using the eigenvalue comparison, the transient stability index comparison and the dynamic time-domain simulation.

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“…The impedance-based stability analysis method has been widely applied in the power-electronics-based power system [1], [2]. In the case of three-phase system, the small-signal impedance model can be developed in the rotating dq-frame for stability analysis [3]. However, the analytical dq impedance model is difficult to be obtained because system operators have no access to the detailed data of power converters.…”

Section: Introductionmentioning

confidence: 99%

Impact of Synchronization Phase Dynamics on DQ Impedance Measurement

Gong

Yang

Wang

2018

2018 IEEE 19th Workshop on Control and Modeling for Power Electronics (COMPEL)

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Small-signal stability assessment of the threephase system can be performed using the measured impedances of the load and source. To obtain the dc steadystate operation point, the impedances are measured in the rotating dq-frame, and the phase angle is needed for the coordinate transformation used in both the perturbation injection and the impedance calculation. However, the phase estimation may introduce additional dynamics, affecting the accuracy of impedance measurement. This paper investigates the impact of phase synchronization dynamics on the measured impedance results. It is revealed that the phase variations in the perturbation injection has little effect on the measured impedance, while the phase dynamics introduced in the impedance calculation may have a significant impact. Based on impedance transformation, a new impedance calculation method is proposed, which can reduce the errors caused by the phase dynamics. Finally, the simulation and experiment results verify the accuracy of the analytical results and the effectiveness of the proposed method.

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D–Q Impedance Based Stability Analysis and Parameter Design of Three-Phase Inverter-Based AC Power Systems

Cited by 105 publications

References 28 publications

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Multi-Time Scale Model Order Reduction and Stability Consistency Certification of Inverter-Interfaced DG System in AC Microgrid

Impact of Synchronization Phase Dynamics on DQ Impedance Measurement

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