2020 VOL.3 Feb No.1

• Title: Cloud computing based on-line detection method of doubly-fed generator resistance signal
• Name: Yadong Zhou
• Company: State grid technology institute
• Abstract:

  Aiming at the problems of high complexity of conventional detection methods and low accuracy of signal detection, a cloud computing method is introduced, and an online detection method of doubly-fed generator resistance signals based on cloud computing is proposed. Directly rely on the high-speed computing capabilities of cloud computing to determine the carrier value of the internal resistance signal of the generator. The branch resistance with a smaller amplitude is activated to accurately calculate the position of the resistance signal, modulate the resistance signal, and realize the online detection of the resistance signal of the doubly-fed generator. Simulation results show that this method reduces the complexity of resistance signal detection by 52.3% compared with the conventional method, and at the cost of signal modulation, the signal detection accuracy is greatly improved.

• Keyword: Cloud Computing; Doubly-Fed Generator; Resistance Signal; Online Detection; Signal Carrier
• DOI: 10.12250/jpciams2020010113
• Citation form: Yadong Zhou.Cloud computing based on-line detection method of doubly-fed generator resistance signal[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 147-153.

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