کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
300065 512468 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system
چکیده انگلیسی


• We propose a pitch angle control law for SCIG wind turbine.
• We model a hybrid control strategy based on PI and fuzzy technique for pitch angle control.
• We examine changes in power coefficient (Cp) related to pitch angle.
• We get improvements in smoothing wind power fluctuations as well as drops in output power in an optimal way.

In the past, wind power penetration was extremely limited compared to the total power production. As a result, the interconnection requirements for wind farms were not included in the grid codes. However, in the recent years, the significant amount of energy injected by wind farms has already impacted the power system, both from a technical and a regulatory point of view in the recent years. Large wind plants have a significant influence on power system operation since they are related to unpredictability of the primary source. Thus wind turbines must improve their quality production to ensure the stability and reliability of the power system as conventional power plants. Wind energy is not constant and, since wind turbines output is proportional to the cube of wind speed, this causes the power output of Squirrel-Cage Induction Generator Wind Turbine (SCIG WT) to fluctuate. In order to improve power quality and maintain the stable output generated from SCIG wind farm, this paper presents a hybrid controller based on PI and fuzzy technique for the pitch angle controller which has been one of the most common methods for smoothing output power fluctuations. All models as well as controllers here presented are developed using Matlab-Simulink software.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 70, October 2014, Pages 197–203
نویسندگان
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