Risk Assessment Model for Wind Generator Tripping Off

Qiyu Chen, Tim Littler, Shushan Han, Haifeng Wang

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


With wind farms being rapidly integrated into power systems, the impacts of wind power on power system operation obviously emerges. Wind generator trip-off happens frequently in China, which has impacted power system operation. In order to keep a power system with wind generation operating safely, a risk assessment model for wind generator trip-off was established. It is impossible to calculate all of the possible faults online, because of the explosion of faults and the consumption of calculation time. Therefore, the wind generator trip-off index was designed to calculate the probability of wind generator trip-off when a fault occurs. Besides considering power system states, the failure in the wind farms was also taken into account based on the actual trip-off statistics in the index. The anticipating fault set was generated based on the index and the electrical distance from wind farm to fault location. The fault subset, which may cause wind generator trip-off, was sorted and filtered from the fault set by the probability of tripping off. Therefore, only the faults in the subset are scanning on line, and providing warning information simultaneously. The risk assessment model for wind generator trip-off can calculate wind farm trip-off capacity, and analyze the state of system stability. Both the accuracy and effectiveness of the proposed risk assessment model are verified by simulation results from Gansu Power Grid of China online data.
Original languageEnglish
Pages (from-to)576-582
Number of pages7
JournalProceedings of the CSEE
Issue number3
Publication statusPublished - 05 Feb 2015


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