کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
385300 | 660864 | 2008 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN](/preview/png/385300.png)
چکیده انگلیسی
This paper represents an artificial neural network (ANN) backpropagation algorithm is used to choose best coefficients of hierarchical fuzzy power system stabilizer (HFPSS). PSS is used for stability enhancement of a single machine infinite bus (SMIB) power system. ANN algorithm is used to predict load condition of the power system. And according to the predicted load condition ANN determinates choosing optimal parameters of the hierarchical fuzzy controller (HFC) to achieve better performance. Simulation results are compared with conventional PSS (CPSS) to show the effectiveness of the proposed controller. Also quantitative criterias of measuring performance is computed for 16 loading conditions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 34, Issue 4, May 2008, Pages 2650–2655
Journal: Expert Systems with Applications - Volume 34, Issue 4, May 2008, Pages 2650–2655
نویسندگان
Murat Caner, Nurettin Umurkan, Sezai Tokat, Seydi Vakkas Üstün,