Adaptive Harmonic Power Flow Algorithm for Hybrid AC/DC Transmission Systems Under Geomagnetic Disturbance Threats

With the ongoing integration of new generation resources and evolving load profiles in modern power systems, the presence of harmonic pollution in the electric power network is continuously on the rise. This level of waveform distortion in the electric power system, and its impact on the operation of energy delivery infrastructure, can no longer be neglected in high-voltage power systems. In this paper and beyond the state-of-the-art, an adaptive frequency-domain-based harmonic power flow (HPF) analytic is proposed for power systems with voltage source converter (VSC)-based high-voltage direct current (HVDC) transmission lines. The proposed algorithm uses a two-layer loop to estimate the initial modulation variables of the VSC. It updates the initial variable by calculating the first-order harmonic, ensuring that the adaptive effect of the HPF solution remains consistent regardless of any changes in the firing angle. The hybrid nonlinear model is applicable to both fundamental and harmonic power flow analyses at the point of common coupling, and also under the geomagnetic disturbance (GMD) events. To demonstrate the effectiveness of the proposed HPF algorithm in hybrid AC/DC transmission systems, a modified pulse width modulation (PWM)-controlled bi-terminal VSC-HVDC transmission system based on the IEEE 30-bus test system is used as a testbed. Simulation results and numerical analyses verify the effective performance of the proposed solution as compared to the conventional practices.

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2024-10-02
DOI
https://doi.org/10.1109/tia.2024.3472646
Citations
2
Primary Topic
High-Voltage Power Transmission Systems
Type
article
Field-Weighted Citation Impact
0.42
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article

Adaptive Harmonic Power Flow Algorithm for Hybrid AC/DC Transmission Systems Under Geomagnetic Disturbance Threats

Amir H. Etemadi, Payman Dehghanian, Shiyuan Wang, Yifu Li
2 citations
IEEE Transactions on Industry Applications
High-Voltage Power Transmission Systems
0.42
article

Adaptive Harmonic Power Flow Algorithm for Hybrid AC/DC Transmission Systems Under Geomagnetic Disturbance Threats

Amir H. Etemadi, Payman Dehghanian, Shiyuan Wang, Yifu Li
article en
2 citations

Abstract

With the ongoing integration of new generation resources and evolving load profiles in modern power systems, the presence of harmonic pollution in the electric power network is continuously on the rise. This level of waveform distortion in the electric power system, and its impact on the operation of energy delivery infrastructure, can no longer be neglected in high-voltage power systems. In this paper and beyond the state-of-the-art, an adaptive frequency-domain-based harmonic power flow (HPF) analytic is proposed for power systems with voltage source converter (VSC)-based high-voltage direct current (HVDC) transmission lines. The proposed algorithm uses a two-layer loop to estimate the initial modulation variables of the VSC. It updates the initial variable by calculating the first-order harmonic, ensuring that the adaptive effect of the HPF solution remains consistent regardless of any changes in the firing angle. The hybrid nonlinear model is applicable to both fundamental and harmonic power flow analyses at the point of common coupling, and also under the geomagnetic disturbance (GMD) events. To demonstrate the effectiveness of the proposed HPF algorithm in hybrid AC/DC transmission systems, a modified pulse width modulation (PWM)-controlled bi-terminal VSC-HVDC transmission system based on the IEEE 30-bus test system is used as a testbed. Simulation results and numerical analyses verify the effective performance of the proposed solution as compared to the conventional practices.

IEEE Transactions on Industry ApplicationsVol. 61(1)
Quanta Technology (United States) (US), George Washington University (US)
Affordable and clean energy
Openalex Percentile: Top 38%
High-Voltage Power Transmission Systems
0.42
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