کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10401508 | 891316 | 2011 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Immune system memetic algorithm for power distribution network design with load evolution uncertainty
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Immune system memetic algorithm for power distribution network design with load evolution uncertainty Immune system memetic algorithm for power distribution network design with load evolution uncertainty](/preview/png/10401508.png)
چکیده انگلیسی
A recent paper, [1], has proposed a methodology for taking into account uncertainties in the load evolution within the design of electric distribution networks. That paper has presented an immunological algorithm that is used for finding a set of solutions which are sub-optimal under the viewpoint of the “mean scenario” load conditions, and which are submitted to a sensitivity analysis for the load uncertainty. This paper presents a further development of the algorithm presented in [1], employing now a memetic algorithm (an algorithm endowed with local search operators) instead of the original immunological algorithm. The new algorithm is shown to present a better behavior, achieving a better set of candidate solutions, which dominate the solution set of the former algorithm. The solution set of the proposed algorithm is also stable, in the senses that: (i) the same set of solutions is found systematically; and (ii) the merit function values associated to those solutions vary smoothly from one solution to another one. It can be concluded that the design procedure proposed in [1] should be performed preferentially with the algorithm proposed here.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 81, Issue 2, February 2011, Pages 527-537
Journal: Electric Power Systems Research - Volume 81, Issue 2, February 2011, Pages 527-537
نویسندگان
Bruno B. Souza, Eduardo G. Carrano, Oriane M. Neto, Ricardo H.C. Takahashi,