A reactive power control method, device and equipment of a direct current converter station and a medium
By constructing a reactive power control optimization model and using the PSO-BA algorithm to adjust the output power of reactive power equipment, combined with multi-scale adaptive convolutional neural networks to predict voltage stability, the problem of insufficient reactive power in DC transmission lines was solved, thereby improving the safety and stability of the power grid and the operational safety of transformers.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA SOUTHERN POWER GRID EXTRA HIGH VOLTAGE POWER TRANSMISSION CO LIUZHOU BRANCH
- Filing Date
- 2023-12-28
- Publication Date
- 2026-07-10
AI Technical Summary
Insufficient reactive power in DC transmission lines leads to voltage fluctuations, affecting the safety and stability of the power grid. Existing deep learning methods are not ideal in reactive power optimization, and frequent operation of transformers in converter stations generates electric arcs, affecting safe operation.
By acquiring the operating status data of the DC converter station, a reactive power control optimization model and constraints are constructed. The target output value is calculated using the PSO-BA algorithm, the output power of the reactive power equipment is adjusted, and the voltage stability is predicted by combining a multi-scale adaptive convolutional neural network to optimize the reactive power control strategy.
This effectively reduces the frequent operation of transformers in the converter station, improves voltage transient stability, ensures the stable operation of the DC converter station, and reduces network losses.
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Figure CN117791692B_ABST