Research On The Maximum Power Point Tracking Controlled Study Based On New Climbing Search Algorithm

Due to conventional energy exhaustion, high costs and negative effects on the environment, wind power generation system as one of the most promising renewable energy sources in the past decade has gained great attention. Wind energy is a non-polluting and inexhaustible energy, therefore wind power is very likely a potential future alternative energy, for this reason many countries reach a consensus and paid the action in the field of wind power technology. Thus, the wind power is not only renewable energy, but also "policy energy". Many countries had developed appropriate policies and regulations to encourage the development of wind power. To take full advantage of wind energy, we need to analyze operating characteristics of the wind turbine, and capture the maximum power point of wind power systems. Because of the stochastic of wind speed and the nonlinear of wind power systems, the maximum power point of capture control be more difficult, and also it is one of the hot issues of wind power generation.Above all, this article introduces the development status of wind turbine technology both in international and domestic scope. The tendency of this technique, then, is also introduced. In the section two, some fundamental theories and principles of maximum power point tracking technique of wind turbine generation system are listed, including tip-speed ratio, power feedback, optimal torque, and climbing algorithms. In the section3, a novel climbing algorithm is proposed and the numerical simulation has been made. The model and the application of wind turbine is illustrated in section4. A adaptive control based approach is used to achieve rotor speed tracking.This paper presents a novel maximum power point tracking (MPPT) algorithm for wind energy generation systems (WEGS) which considering the air density change. The novel hill climb searching (HCS) algorithm calculates the variable step size and the direction of the next perturbation by considering how far the operating point lies from the optimal curve. Owning to the climatic conditions change results in the variation of the air density, so we have to consider the modification of the value kopt. The algorithm works in two stages. In the first stage, it uses the proposed HCS algorithm track the MPP based on the precise value of kopt. In the second stage, there is an online updating of the parameter kopt once it reach the peck point.The advantages of the proposed MPPT method are that no knowledge of the WG optimal power characteristic or measurement of the wind speed is required and the WG operates at a variable speed. The validity and performance of the proposed technique are confirmed by MATLAB simulations.