کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6903160 | 1446751 | 2018 | 51 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An overview and comparative analysis of recent bio-inspired optimization techniques for wind integrated multi-objective power dispatch
ترجمه فارسی عنوان
یک نظرسنجی و مقایسه ای از تکنیک های بهینه سازی اخیر الهام گرفته از زیست محیطی برای اعزام نیروی چند هدفه است
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
The population based computing methods are particularly attractive for solving multi-objective (MO) problems due to their capability of producing a large number of Pareto-optimal solutions in one run. In this paper, an integrated ranking index (IRI) composed of TOPSIS and fuzzy-min concept is proposed as a performance metrics to aggregate the different objectives. The performance of eight handpicked recent BI techniques is compared for the solution of wind integrated multi-objective optimal power dispatch (MOOD) problem for simultaneous minimization of fuel cost and emission. Due to the uncertain nature of wind power (WP), the effect of its over and underestimation on both economic as well as environmental aspects, has also been considered. Six standard test cases having non-convex, multi-modal and discontinuous objective functions, dynamic operation and complex equality/inequality constraints, are selected for testing Flower Pollination Algorithm (FPA), Mine Blast Algorithm (MBA), Backtracking Search Algorithm (BSA), Symbiotic Organisms Search (SOS), Ant Lion Optimizer (ALO), Moth-Flame Optimization (MFO), Stochastic Fractal Search (SFS) and Lightning Search Algorithm (LSA).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Swarm and Evolutionary Computation - Volume 38, February 2018, Pages 12-34
Journal: Swarm and Evolutionary Computation - Volume 38, February 2018, Pages 12-34
نویسندگان
Hari Mohan Dubey, Manjaree Pandit, B.K. Panigrahi,