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Control Technology Research On Wind Energy Conversion System

Posted on:2017-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:J HouFull Text:PDF
GTID:2272330488485294Subject:Control science and engineering
Abstract/Summary:PDF Full Text Request
With the gradually dried up of traditional fossil, new energy has been taken attention by worldwide. Wind energy, because of the characteristic of clean and renewable, has become the focus in the energy research, Wind power industry has the potential of dominating the world market in order to make electrical energy supply diversified an carbon emissions reduced simultaneously. Since wind energy has the characteristics of lower density, random, instability and so on, it is of great realistic significance to make a deep study in control technology of wind turbines.This article starts with two aspects of wind power system -----variable pitch control and grid-connected control, in the aspect of variable pitch control, first, this paper introduces every link of wind turbine, when the wind turbine runs above the rated wind speed, variable pitch control will ensure the constant power output at high wind speed, Though variable pitch control system of wind turbines is nonlinear, multi-variable characteristics, it is difficult to achieve the better variable pitch control of wind turbines for adopting the traditional PID controller, so a base on BP Neural Network and by using PID system controller is proposed in this paper. The simulation result indicates that the proposed algorithm in this article solves the constant power control of wind turbines above the rated wind speed, reduce the wind turbine non-linear influence on the system, and compared with the traditional PID collective variable pitch control algorithm, it has anti-interference capability and high control precision. Compare of the traditional control methods advantages and disadvantages, a new method, which is based on the idea of virtual synchronous generator model is established, which focus on the power/frequency controller and excitation controller designs. Simulation results show that the established virtual synchronous generator can simulate the actual output characteristics of synchcronous generator, have a good steady-state and dynamic-state regulation performance, then can easily adapt to microgrid operation requirements...
Keywords/Search Tags:wind energy conversion system, Grid-connectedcontrol, Virtual synchronous generator, PID control based on Neural Network
PDF Full Text Request
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