کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5476383 1521416 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging
ترجمه فارسی عنوان
بهینه سازی مبتنی بر بیوگرافی چند منظوره برای اعزام بار تخلیه اقتصادی پویا با توجه به شارژ کردن وسایل نقلیه الکتریکی با پلاگین
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی
The climate change is addressing unprecedented pressures on conventional power system regarding the significant fossil fuel consumptions and carbon emissions, which largely challenges the conventional power system operation. This paper proposes a novel dynamic non-dominated sorting multi-objective biogeography-based optimization (Dy-NSBBO) to solve multi-objective dynamic economic emission load dispatch considering the mass integration of plug-in electric vehicles (PEVs), namely MO-DEELDP problem. First, a real-world economic emission load dispatch considering PEVs charging is first formulated as a constrained dynamic multi-objective optimization problem. Then a new multi-objective BBO is proposed adopting the non-dominated solution sorting technique, change detection and memory-based selection strategies in the multi-objective BBO method to strengthen the dynamic optimization performance. The proposed Dy-NSBBO is applied to solve three different dynamic economic emission load dispatch cases integrating four plug-in electric vehicle charging scenarios respectively. Comprehensive analysis shows that the novel algorithm is promising to bring considerable economic and environmental benefits to the power system operators and provides competitive charging strategies for policy makers and PEVs aggregators.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 135, 15 September 2017, Pages 101-111
نویسندگان
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