access icon free Fault phase selection method applied to tie line of renewable energy power stations

The short-circuit current characteristics fed by the renewable energy source are quite different from those of the synchronous generator, which may lead to the phase selection error or failure of the traditional fault phase selection component, and then affect the operating reliability of the distance protection and the automatic reclosing. This study analyses the existing issues in the application of traditional phase selection components to the tie-line of renewable energy power, according to the fault characteristics of different renewable energy sources such as photovoltaic power source, direct-drive wind turbine and doubly-fed wind turbine. Furthermore, the sequence voltage expressions in the case of different types of faults, which takes account of the influence of the renewable energy type and the transition resistance, are theoretically derived. Hereby, a novel phase selection method by using sequence-voltage phase comparison and phase-voltage amplitude comparison is proposed. This method is applicable to the tie line of different types of renewable energy power station, and possesses the superiorities of high reliability and strong tolerance towards large fault transition resistance. Digital simulation results verify the favourable performance of the proposed method.

Inspec keywords: wind turbines; photovoltaic power systems; power generation reliability; power generation faults; renewable energy sources

Other keywords: renewable energy sources; tie line; doubly-fed wind turbine; fault phase selection component method; sequence-voltage phase amplitude comparison; renewable energy source; tie-line; photovoltaic power source; renewable energy power station; phase selection error; automatic reclosing; synchronous generator; distance protection; direct-drive wind turbine; short-circuit current characteristics; sequence voltage expressions; reliability; fault transition resistance

Subjects: Solar power stations and photovoltaic power systems; Wind power plants; Energy resources; Reliability

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