Wind Farm Mathematical Modelling And Frt Improvement Using...

Wind Farm Mathematical Modelling and FRT Improvement Using PMSG and Soft-computing Abstract: In this paper multi machine concept is taken for fault ride through (FRT) improvement. Here FRT capability improvement of two wind generator are considered and two wind farms are connected with multi machine. This paper incorporates a detailed mathematical model for wind turbine and it shows how input wind is converted to power and how bet’z limit varies with wind. As a soft computing technique, fuzzy logic controller is used at grid side for voltage control. Crow bar protection concept is applied and implemented between machine and greed side converters. Ground fault is created in simulation and control technique helps to improve this FRT capability due to fault which we can say due to network disturbance. Key Words: Fault ride through, PMSG, fuzzy, mathematical modelling, multi machine Introduction As the world is growing, demand for energy is also considerably increasing. Now a days due to more concern on pollution free power generation sources renewable energy sources are in high demand. Wind farm is also one of the renewable energy source and its use and implementation is considerably increasing. As the wind is not constant at all the time, so generated power may vary. We can get stable power by using particular control strategies but still we need to minimize transients available in power. As well characteristics should match between generator source and load. In this