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Topological configuration of N coupled inverters.

Topological configuration of N coupled inverters.

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Figure 1. (a) Third harmonic cancellation through a 60-degree phase...
Figure 2. Topological configuration of N coupled inverters.
Figure 5. The hardware configuration of the experimental test setup.
Figure 6. Experimental results of the impact of electrical distance on...
+5 Figure 7. Experimental result of output THD level vs. electrical...
Nonlinear Impact of Topological Configuration of Coupled Inverter-Based Resources on Interaction Harmonics Levels of Power Flow
Article
Full-text available
  • May 2024
The increasing level of harmonics in the power grid, driven by a substantial presence of coupled inverter-based energy resources (IBRs), poses a new challenge to power grid transient stability. This paper presents the findings from experiments and analytical studies on the impact of the topological configuration of coupled IBRs on the level of powe...
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Context 1
... explanation can be extended to the number of inverters. For example, Figure 2 shows N coupled inverters. A simplified model of N-coupled inverters is used as an example to illustrate the relationship between reactance and harmonics level. ...

Citations

... Distributed energy sources are being integrated into power systems on an increasing scale. Nonlinear devices, including grid-connected converters, electromagnetic saturated motors, and impact loads, serve as harmonic sources that inject harmonics into the public grid, thereby impairing the normal operation of the power system [1][2][3][4][5]. To mitigate these harmonics, an accurate harmonic state evaluation (HSE) is essential [6][7][8][9]. ...
Improved Sage–Husa Unscented Kalman Filter for Harmonic State Estimation in Distribution Grid
Article
Full-text available
  • Jan 2025
In distribution grids with the large-scale integration of renewable energy sources and energy storage systems, power signals are often contaminated with time-varying noise and frequency deviation caused by low-frequency inertia. To achieve an accurate dynamic harmonic state estimate (HSE), a novel method based on an improved Sage–Husa unscented Kalman filter (ISHUKF) is proposed. Considering the frequency deviation, a nonlinear filter model for power signal is proposed, and a UKF is used to address the nonlinear estimation. A Sage–Husa noise estimator is incorporated to enhance the robustness of the UKF-based HSE against the time-varying noise. Additionally, the noise covariance of the Sage–Husa algorithm is modified to ensure the rapid convergence of the estimation. Then, the performance of the proposed method is validated using an IEEE 14-node system. Finally, the method is applied to evaluate the harmonic states of grid-connected inverter faults in real-world scenarios. The simulation and experiment results demonstrate that the proposed method provides an accurate dynamic HSE even in the presence of time-varying noise and frequency deviation.
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