Fast analytical calculation-based modeling method and fault ride-through parameters selection to enhance short-term voltage stability of grids with large-scale photovoltaic power plants
•Dynamic interactions between the grid voltage and the PVPP’s FRT behaviors is formulated as a real-time varying impedance.•A simulation-free analytical method is proposed for fast calculation of STV dynamic trajectories of the grid with PVPPs.•The dominant FRT parameters of PVPPs are selected and v...
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Veröffentlicht in: | International journal of electrical power & energy systems 2025-03, Vol.164, p.110414, Article 110414 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Dynamic interactions between the grid voltage and the PVPP’s FRT behaviors is formulated as a real-time varying impedance.•A simulation-free analytical method is proposed for fast calculation of STV dynamic trajectories of the grid with PVPPs.•The dominant FRT parameters of PVPPs are selected and validated based on the recommended STV evaluation index.
Large-scale centralized photovoltaic power plants (PVPPs) connected to a power grid may cause short-term voltage instabilities during fault ride-through (FRT) processes. However, analyzing and optimizing short-term voltage characteristics requires extensive time-consuming simulations due to complex dynamic interactions between the grid voltage and FRT behaviors of PVPPs. To solve this problem, an analytical simulation-free method is proposed in this paper. Firstly, the coupling between the grid voltage and the PVPP’s FRT behaviors is formulated as a real-time varying impedance. Then, a fast analytical method is proposed to derive the grid short-term voltage dynamic trajectories during the complete FRT processes, and the non-monotonic impact of the PVPP’s FRT parameters on short-term voltage stabilities is demonstrated. Further, a selection method for the PVPP’s FRT parameters is proposed and verified using a regional grid. The proposed method improves the grid’s short-term voltage stability with small computational burdens. |
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ISSN: | 0142-0615 |
DOI: | 10.1016/j.ijepes.2024.110414 |