Analysis and processing of high generator wind temperature

Are high-temperature superconductor wires a good choice for wind turbine generators?

Significant progress in high-temperature superconductor (HTS) wires enables MW-rated generator designs with lower volume and mass. There are many studies on superconducting high-power synchronous wind turbine generators.

What is htssg for offshore wind energy?

HTSSG for offshore wind energy High temperature superconductors (HTS) evolve continuously with better electrical, mechanical and magnetic characteristics with a minor cost for application in industrial sectors as wind energy systems. The result of the high current density in HTS tapes is the high power density obtained in HTS generators.

How was data collected from a wind turbine?

It is noted that the data set was not collected under regular operating phase (or during electricity production stage) of the wind turbine. The data acquisition process was performed in a full-control scheme to collect a ‘benchmark’ SCADA data set including two fault events, which were human-made.

Are superconducting high-power synchronous wind turbine generators feasible?

There are many studies on superconducting high-power synchronous wind turbine generators. In , direct-driven wind turbine generators with HTS winding were studied in general, and their advantages were demonstrated in comparison with conventional generators. The feasibility of a 5 MW HTS wind turbine generator (WTG) was discussed in .

How does wind speed affect a generator?

In response to the wind speed variations, the generator speed dropped down from 800 rpm to almost stationary state (standstill), then suddenly increased up to more than 600 rpm and afterward rapidly decreased again to 0 rpm, and finally boosted up to the speed nearly 800 rpm (see Fig. 5 b).

How is condition monitoring used in a wind turbine drivetrain?

The method is applied for condition monitoring of a wind turbine drivetrain with a nominal power of 2 MW using temperature-related SCADA data. A multiple linear regression model is formed using gearbox and generator temperature data as the independent variables and generator speed data as the dependent variable.