کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5476767 1521420 2017 46 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling
ترجمه فارسی عنوان
بهینه سازی ذرات چند جانبه رفتار شده با کوانتومی برای برنامه ریزی سیستم های انرژی گرمایی محیطی
کلمات کلیدی
بهینه سازی چند هدفه، برنامه ریزی هیدروترمال بهینه سازی ذرات رفتار کوانتومی، جهش هرج و مرج، روش دست زدن به محدودیت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی
With increasing attention paid to energy and environment in recent years, the hydrothermal scheduling considering economic and environmental objectives is becoming one of the most important optimization problems in power system. With two competing objectives and a set of operation constraints, the economic environmental hydrothermal scheduling problem is classified as a typical multi-objective nonlinear constrained optimization problem. Thus, in order to efficiently resolve this problem, the multi-objective quantum-behaved particle swarm optimization (MOQPSO) is presented in this paper. In MOQPSO, the elite archive set is adopted to conserve Pareto optimal solutions and provide multiple evolutionary directions for individuals, while the neighborhood searching and chaotic mutation strategies are used to enhance the search capability and diversity of population. Furthermore, a novel constraint handling method is designed to adjust the constraint violation of hydro and thermal plants, respectively. In order to verify its effectiveness, the MOQPSO is applied to a classical hydrothermal system with four hydropower plants and three thermal plants. The simulations show that the proposed method has competitive performance compared with several traditional methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 131, 15 July 2017, Pages 165-178
نویسندگان
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