Maximum Power Tracking Of Large Wind Power System Optimization And Control Research

Because the fossil energy caused serious environmental pollution, itself reserves to dry up, renewable energy is highly valued. The continuation of traditional energy production and consumption mode, can not meet the requirements of economic and social development. So a new energy revolution has been imperative. Wind power as one of the most promising renewable energy, get more and more attention. Wind power as a kind of clean energy, have the advantage of rich resources, low cost of factory, no pollution, global feasible, does not produce greenhouse gas emissions in the process of operation. In order to efficient use of wind power, starting from the running characteristics of wind turbine, maximum power point tracking is need in wind power systems.This paper introduces the classical maximum wind power point tracking strategy, analyzes its principle and advantages and disadvantages. Then by building simulation model, the control strategy of the different classical control performance were analyzed, summarized several typical control strategy has a problem. According to this problem, this paper introduces and studies the control strategy, hill climbing algorithm. Aiming at the existing problem of traditional climbing algorithm, an improved algorithm is proposed. Affected by fan big moment of inertia, traditional climbing algorithm in tracking fast variable wind speed ability is poor, poor dynamic characteristics. And small amplitude oscillation problems near the maximum power point, increased mechanical load of the fan. Wind speed under the condition of rapid changes in search direction there is an error, this will seriously affect the control performance. Improved climbing algorithm by introducing the optimal gain, can overcome the influence of big inertia, adaptive adjustment of step length, search for the fast track wind speed. Gradient estimation method is adopted to define the variable step length coefficient, improves the search efficiency and accuracy. Increase the steady state point determination module, compared with the traditional algorithm in reaches near the maximum power point, can reduce the unnecessary mechanical load on tiny disturbance, prolong the service life of equipment. The simulation results validate the effectiveness of the proposed method. In addition, because the method from the wind speed measurement, the algorithm programming is simple, has high engineering application value.