A Novel HCS Algorithm Applied In Direct Drive Permanent Magnet Wind Power Generation System

Wind power come from both the sun power and earth rotation, which reflect on it complexity. The sun makes the wind change seasonal, and the wind is reflected by the landform and obstacle. So it is variable, and hard to estimate or use. Conventional energy are coal oil and natural gas. It is not only restricted, but also causing serious air pollution. Therefore, the utilization of renewable energy especially wind power development is regarded by many country in the world.This paper focus on how to convert the wind power to electricity mostly, which include both side:firstly, turbine side which realize the conversation from wind power to machine power; secondly, generator side, which realize the conversation from machine power to electricity, and control the turbine speed to absorb the maximum wind power. The power use coefficient reach the decide value when the turbine speed and the wind speed achieve the optimal ratio, according to the Betz theory. Therefore, how to control the turbine speed is the key.Hill climb search algorithm does need the wind speed or the turbine characteristic to realize maximum power capture, therefore are widely used in wind power generation. An optimized hill-climb search based on power-perturbation was brought forward to shorten the algorithm period, which advanced the maximum wind power capture response speed of the direct-drive permanent magnet wind power generation (D-PMSG). The algorithm added in data storage and output function and formed an updated Max-Power work table related to the motor speed to avoid repeated HCS based on variable step hill-climb search (HCS).Which, was also integrated with power fed back control to track the Max-Power.At last, set up the wind power system model by SIMULINK tool, introduce how to adjust PI parameter, use both optimal current enactment HCS and optimal power enactment HCS strategy to realize maximum power absorb. The optimal power enactment HCS strategy this paper mentioned is proved more efficiency and reliable than the tradition maximum power control algorithm.