کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
400335 1438717 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Binary fireworks algorithm for profit based unit commitment (PBUC) problem
ترجمه فارسی عنوان
الگوریتم آتش بازی دودویی برای مسئله تعهد واحد بر اساس سود (PBUC)
کلمات کلیدی
تعهد واحد بر اساس سود (PBUC)؛ تولیدکننده مستقل برق (IPP)؛ بازار روزهای آتی (DAM)؛ الگوریتم آتش بازی دودویی (BFWA)؛ بهینه سازی محدود؛ بازار مقررات زدایی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• Binary fireworks algorithm for solving PBUC is developed.
• Application of BFWA to small and large scale test systems is demonstrated.
• Various test cases are simulated.
• Comparative analysis with existing classical and heuristic approaches.

The deregulation of electricity markets has transformed the unit commitment and economic dispatch problem in power systems from cost minimization approach to profit maximization approach in which generation company (GENCO)/independent power producer (IPP) would schedule the available generators to maximize the profit for the forecasted prices in day ahead market (DAM). The PBUC is a highly complex optimization problem with equal, in equal and bound constraints which allocates scheduling of thermal generators in energy and reserve markets with no obligation to load and reserve satisfaction. The quality of the solution is important in deciding the commitment status and there by affecting profit incurred by GENCO/IPPs. This paper proposes a binary coded fireworks algorithm through mimicking spectacular display of glorious fireworks explosion in sky. In deregulated market GENCO/IPP has the freedom to schedule its generators in one or more market(s) based on the profit. The proposed algorithm is tested on thermal unit system for different participation scenarios namely with and without reserve market participation. Results demonstrate the superiority of the proposed algorithm in solving PBUC compared to some existing benchmark algorithms in terms of profit and number of iterations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 83, December 2016, Pages 270–282
نویسندگان
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