Abstract
To achieve the goals of the "Dual Carbon" strategy, the efficient aggregation and transmission of wind energy resources in the "deep and far offshore" areas have become important topics. Flexible low-frequency offshore wind power systems, by reducing the transmission frequency to enhance transmission capacity, have significant potential for large-scale long-distance offshore wind power transmission. However, the stability issues of flexible low-frequency offshore wind power systems, especially the problems related to large-scale signal stability, remain challenging in engineering practice. In this paper, based on the T-S fuzzy theory and considering the system's asynchronous coupling characteristics, the Lyapunov equation for flexible low-frequency offshore wind power systems is constructed. The stability under large-scale signal disturbances during system operation is analyzed using the domain of attraction analysis. To address the potential instability conditions of the system, the normal boundary intersection method and fuzzy membership function theory are employed to optimize the multi-objective system stability operation, considering both operational efficiency and stability margin. A system stability control strategy is designed to effectively mitigate the risk of large-scale signal instability in real-time online scenarios. Finally, time-domain simulations and hardware-in-the-loop experiments are conducted to validate the conclusions of the large-scale signal stability analysis and the effectiveness of the proposed stability operation methods.
| Translated title of the contribution | Analysis of Large-signal Stability in Flexible Low-frequency Offshore Wind Power Systems and Research on System Stability Control Strategies Based on Multi-objective Optimization |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 2356-2368 |
| Number of pages | 13 |
| Journal | Dianwang Jishu/Power System Technology |
| Volume | 49 |
| Issue number | 6 |
| DOIs | |
| State | Published - 5 Jun 2025 |
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