Paper
16 December 2022 Research on intelligent start-up mode of Shaji power generation station
Bin Liu, Tao Jiang, Lijian Xu, Xuan Zhang, Tingting Cui
Author Affiliations +
Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125001U (2022) https://doi.org/10.1117/12.2660848
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
Some of the large and medium-sized pumping stations designed and built in the early 1980s and 1990s have the function of reverse power generation. When the upstream water source is abundant, they can operate as small hydropower stations and reverse power generation. However, when the main motor starts, it is necessary to manually observe the reverse speed and manually close the high-voltage switch of the main motor. It is often impossible to accurately judge the sub-synchronous speed of the main motor, resulting in too early or too late excitation input. As a result, the starting current of the main motor is too large, and in serious cases, the high-voltage switch protection of the main motor trips, resulting in the failure of starting the main motor. By optimizing and modifying the starting mode of the main motor, the intelligent monitoring of the main motor speed, the reliable capture of the sub-synchronous speed, the automatic closing of the high-voltage switch and the automatic excitation are realized, and the safety and reliability of the starting of the main unit are improved.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Liu, Tao Jiang, Lijian Xu, Xuan Zhang, and Tingting Cui "Research on intelligent start-up mode of Shaji power generation station", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125001U (16 December 2022); https://doi.org/10.1117/12.2660848
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KEYWORDS
Switches

Sensors

Transformers

Electromagnetism

Magnetism

Signal detection

Failure analysis

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