Research On Wind Energy Conversion System Maximum Power Point Tracking Algorithm

Nowadays, with the rapid development of global economy and science as well as theexpanding scale of modern industrialization, human’s demand for energy continues to increase.However, due to people’s excessive consumption of traditional energy, the resource isgradually becoming exhausted and the ecological environment is deteriorating, these twoissues always sound the alarm to human. In order to effectively solve the two problems,scientists have begun to develop new energy to gradually replace the traditional sources. Windpower, which is considered as an abundant, inexhaustible, recycled and pollution-free energy,has attracted more and more people’s attention.Wind power generation can converts wind energy into electric energy. The power whichwind turbines capture from wind is related to the turbine’s rotor speed and the wind speed, inany wind speed, the captured power will have a maximum value, and the rotor speed which iscorresponding to the maximum power is called the turbine’s optimum rotor speed. Due to thecharacteristics of randomness and uncertainty of wind energy, when wind speed changes, howto make the system rapidly achieve the optimum rotor speed to attain maximum power pointtracking (MPPT) thereby the system’s output power is maximum is currently a hot issue whichscientists are researching in the field of wind power.This paper focuses on researching the characteristics of the double-fed wind powergeneration system and then analyses several common applied maximum power point trackingmethods in-depth, on the basis of comparison of the these maximum power point trackingmethods,analyze their advantages and deficiencies then proposed a new algorithm whichcombines tip speed ratio (TSR) method and variable step size hill climb search (HCS) methodto track the maximum power point. The initial TSR can make the wind turbine initial rotorspeed quickly locate near the maximum power point so that it can greatly narrow the searchrange and accelerate the search speed, save the search time; variable step size HCS methodcan make the system search maximum power point precisely in the vicinity of the maximumpower point, it ensure the wind power generation system reach maximum power point moreaccurately. The advantage of this new algorithm is that the maximum power point can be fastand accurate tracked. Finally, the simulation analysis is made by the matlab, simulation results show that whether under the given wind or random wind, compared to the HCS method, thisproposed algorithm can make the wind power system more quickly and accurately reach themaximum power point.