کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
393664 665660 2014 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study
ترجمه فارسی عنوان
الگوریتم یادگیری تدریجی اصلاح شده و الگوریتم تکامل دوگانه دیفرانسیل برای مسئله اعزام نیروی راکتیو بهینه: یک مطالعه مقایسه ای
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• A novel hybrid optimization approach for ORPD problem.
• Hybrid MTLA-DDE algorithm has faster converging to better solutions for ORPD problem.
• Hybrid MTLA-DDE algorithm was successfully implemented.

One of the major optimization problems in power systems is the optimal reactive power dispatch (ORPD) problem. ORPD problem is a multi-variable problem with non-linear characteristics and has established significant emphasize on secure and economical operation of power systems. Therefore, finding an effective algorithm to solve this problem is absorbing a growing attention among the academics. In this paper, a reliable and effective algorithm is introduced by combining modified teaching learning algorithm (MTLA) and double differential evolution (DDE) algorithm in order to handle the ORPD problem. Moreover, the proposed algorithm is applied to ORPD problem on IEEE 14-bus, IEEE 30-bus and IEEE 118-bus power systems for performance assessment and validation purposes. The obtained results demonstrate the efficiency of the proposed hybrid algorithm and show faster convergence and better solutions in comparison with previously reported algorithms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 278, 10 September 2014, Pages 231–249
نویسندگان
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