Modeling and Implementation of Percentage Bias Differential Relay with Dual-Slope Characteristic

Desai, Jigneshkumar P.; Makwana, Vijay H.

doi:10.1109/tpec51183.2021.9384987

Cited by 12 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When LG fault is applied on the F7 location, which is in the grid and considered an external fault to the wind farm, the ratio of negative sequence voltage to positive sequence voltage and negative sequence current to positive sequence current is less than the set value [14]. So, as per the algorithm, relays R1 to R3 issued delayed tripping at 0.21 s after the fault instant.…”

Section: External Faultmentioning

confidence: 99%

An Algorithm for Default Detection of Wind Turbine Generators

Desai¹

2022

Wind Turbines - Advances and Challenges in Design, Manufacture and Operation

View full text Add to dashboard Cite

The protection of the wind turbine generator (WTG) required discrimination between internal and parallel WTG faults. Furthermore, it must discriminate the fault of its feeder line and parallel feeder line. This chapter describes the protection of wind turbine generators based on fault current and voltage analysis, which can identify the instantaneous operation, delay operation, or immune operation. A proposed Algorithm based digital relay is presented to provide all the different fault detection in a single unit suitable for internal and external fault protection of wind turbine generator. The main challenge to this scheme is that fault resistance may wrongly operate the scheme in some rare conditions. The phase angle of negative sequence current components determines the type of fault. The algorithm used negative sequence current and voltage to positive sequence current and voltage ratio, which is less than the set value in case of external fault. The fault seniors have been explained using simulation results on the wind turbine generator system modeled in a software environment.

show abstract

Section: External Faultmentioning

confidence: 99%