{"title":"Indirect Power Control (IDPC) of DFIG Using Classical & Adaptive Controllers Under MPPT Strategy","authors":"F. Amrane, A. Chaiba","doi":"10.2174/9789811412677119010005","DOIUrl":null,"url":null,"abstract":"In this chapter, we present a comparative study of conventional Indirect\nPower Control (IDPC) algorithm of DFIG-Wind turbine in grid-connection mode,\nusing PI and PID controllers via Maximum power point tracking (MPPT) strategy.\nFirstly, the conventional IDPC based on PI controllers will be described using\nsimplified model of DFIG through stator flux orientation and wind-turbine model. The\nMPPT strategy is developed using Matlab/Simulink® with two wind speed profiles in\norder to ensure the robustness of wind-system by maintaining the Power coefficient\n(Cp) at maximum value and reactive power at zero level; regardless unexpectedF wind\nspeed variation. Secondly, the rotor side converter (RSC) and Grid side converter\n(GSC) are illustrated and developed using Space vector modulation (SVM) in order to\nminimize the stress and the harmonics and to have a fixed switching frequency. In this\ncontext, the switching frequency generated by IDPC to control the six IGBTs of the\ninverter (RSC), and this control algorithm works under both Sub- and Supersynchronous\noperation modes and depending to the wind speed profiles. The quadrants\noperation modes of the DFIG are described in details using real DFIG to show the\npower flow under both modes (motor and generator in the four (04) quadrants. Finally,\nthe conventional IDPC have several drawbacks as: response time, power error and\novershoot. In this context, the PID and MRAC (adaptive regulator) controllers are\nproposed instead of the PI to improve the wind-system performances via MPPT\nstrategy with/without robustness tests. The obtained simulation results under\nMatlab/Simulink® show high performances (in terms of power error, power tracking\nand response time) in steady and transient states despite sudden wind speed variation,\nwhereas big power error and remarkable overshoot are noted using robustness tests, so\nthe proposed IDPC can not offer big improvement under parameter variation.","PeriodicalId":233549,"journal":{"name":"Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/9789811412677119010005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this chapter, we present a comparative study of conventional Indirect
Power Control (IDPC) algorithm of DFIG-Wind turbine in grid-connection mode,
using PI and PID controllers via Maximum power point tracking (MPPT) strategy.
Firstly, the conventional IDPC based on PI controllers will be described using
simplified model of DFIG through stator flux orientation and wind-turbine model. The
MPPT strategy is developed using Matlab/Simulink® with two wind speed profiles in
order to ensure the robustness of wind-system by maintaining the Power coefficient
(Cp) at maximum value and reactive power at zero level; regardless unexpectedF wind
speed variation. Secondly, the rotor side converter (RSC) and Grid side converter
(GSC) are illustrated and developed using Space vector modulation (SVM) in order to
minimize the stress and the harmonics and to have a fixed switching frequency. In this
context, the switching frequency generated by IDPC to control the six IGBTs of the
inverter (RSC), and this control algorithm works under both Sub- and Supersynchronous
operation modes and depending to the wind speed profiles. The quadrants
operation modes of the DFIG are described in details using real DFIG to show the
power flow under both modes (motor and generator in the four (04) quadrants. Finally,
the conventional IDPC have several drawbacks as: response time, power error and
overshoot. In this context, the PID and MRAC (adaptive regulator) controllers are
proposed instead of the PI to improve the wind-system performances via MPPT
strategy with/without robustness tests. The obtained simulation results under
Matlab/Simulink® show high performances (in terms of power error, power tracking
and response time) in steady and transient states despite sudden wind speed variation,
whereas big power error and remarkable overshoot are noted using robustness tests, so
the proposed IDPC can not offer big improvement under parameter variation.