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构网型SVG深度暂降失效机理及网荷协同治理

Failure Mechanism of Grid-Forming SVG under Deep Voltage Sags and Grid-Load Collaborative Governance

  • 摘要: 针对新型电力系统“双高”区域电压暂降治理难题,以武汉光谷片区为对象,基于实测数据与电磁暂态仿真,揭示电网侧集中补偿设备在深度暂降下的失效机理。结果表明:220 kV三相短路时用户电压跌落85%~92%;构网型SVG因电流限幅器饱和导致虚拟内电势崩溃,电压抬升仅0.4%,调相机等效高估约6倍。据此提出治理效率指数(SMEI)和合作博弈分摊模型,SMEI显示用户侧DVR效率高于电网侧SVG近万倍;Shapley值法得最优分摊比例为电网22%、用户78%。成果已应用于武汉光谷,可为同类园区提供决策参考。

     

    Abstract: To address voltage sag mitigation in "double-high" areas of new power systems, this paper takes Wuhan Optics Valley as the case. Based on measured data and electromagnetic transient simulation, the failure mechanism of grid-side centralized compensation devices under deep sags is revealed. Results show that under a 220 kV three-phase fault, user voltage drops by 85%–92%. The grid-forming SVG suffers virtual EMF collapse due to current limiter saturation, with voltage rise of only 0.4%, while the synchronous condenser equivalent overestimates by about six times. The Sag Mitigation Efficiency Index (SMEI) and a cooperative game allocation model are proposed. SMEI shows user-side DVR efficiency is nearly 10,000 times higher than SVG. The Shapley value gives an optimal cost-sharing ratio of 22% for the grid and 78% for users. The findings have been applied in Wuhan Optics Valley, providing decision-making tools for similar high-tech parks.

     

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